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1

BES_ESnet_Cover_CR  

NLE Websites -- All DOE Office Websites (Extended Search)

Network Requirements Network Requirements Report of the Basic Energy Sciences Network Requirements Workshop Conducted September 22 and 23, 2010 ESnet Energy Sciences Network 2 DISCLAIMER This document was prepared as an account of work sponsored by the United States Government. While this document is believed to contain correct information, neither the United States Government nor any agency thereof, nor The Regents of the University of California, nor any of their employees, makes any warranty, express or implied, or assumes any legal responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by its trade name,

2

Energy Sciences Network (ESnet)  

NLE Websites -- All DOE Office Websites

ESnet ESnet ESnet ESnet ESnet ESnet » MyESnet search... Go Home Network Overview Tools Peering Information Interactive Network Map Network Maps Connected Sites Services Overview ECS Audio/Video Conferencing Fasterdata IPv6 Network Network Performance Tools (perfSONAR) ESnet OID Registry PGP Key Service Virtual Circuits (OSCARS) DOE Grids Service Transition R&D Overview 100G Testbed Virtual Circuits (OSCARS) Performance (perfSONAR) Tools Development Green Networking Authentication & Trust Federation (ATF) Partnerships News & Publications ESnet in the News ESnet News Publications and Presentations Galleries ESnet Awards and Honors About ESnet Overview ESnet Staff Governance Our Network Case Studies ESnet Strategic Plan ESnet Organizational Chart ESnet History Science Requirements Careers Contact Us

3

BES Science Network Requirements  

E-Print Network (OSTI)

September 22 and 23, 2010 ESnet Energy Sciences NetworkMD September 22 and 23, 2010 ESnet is funded by the USASCR). Vince Dattoria is the ESnet Program Manager. ESnet is

Dart, Eli

2011-01-01T23:59:59.000Z

4

ESNET (Energy Sciences Network)  

Science Conference Proceedings (OSTI)

This document describes the Energy Sciences Network (ESNET) project which was undertaken by the Scientific Computing Staff during fiscal year (FY) 1986 at the direction of the Director, Office of Energy Research (ER). This document serves as the program plan for the ESNET project and is the result of the effort of the cross program Energy Sciences Network Steering Committee. The ESNET Steering Committee has been charged to codify the overall ER computer network requirements, to document and set priorities for computer networking requirements including performance objectives. Further, this committee has been asked to identify future ESNET functional characteristics, to identify research and development needs for the ESNET, to establish ESNET performance objectives and to define the intrastructure necessary to manage and operate the ESNET facilities.

Not Available

1987-06-01T23:59:59.000Z

5

ESnet Network Measurement Current Status  

E-Print Network (OSTI)

1 ESnet Network Measurement Current Status Joe Metzger Jan 24th 2008 ESCC meeting Energy Sciences ­ Regular scheduled bandwidth testing · Internal to ESnet IP & SDN Network · External to important peers, and ESnet sites that are interested ­ Dynamic end-user testing via · perfSONAR · ESnet Performance Center

6

ESnet Network Measurement Current Status &  

E-Print Network (OSTI)

1 ESnet Network Measurement Current Status & Future Plans Joe Metzger - with slides copied from Networking for the Future of Science #12;2 Overview · ESnet Services ­ New content · LHC Requirements problems and get more systems deployed ­ Regular scheduled bandwidth testing · Internal to ESnet IP & SDN

7

Science-Driven Network Requirements for ESnet  

E-Print Network (OSTI)

Network Requirements for ESnet Update to the 2002 Office ofNetwork Requirements for ESnet Update to the 2002 Office ofEdited by Eli Dart, ESnet Engineering Staff dart@es.net

2006-01-01T23:59:59.000Z

8

BES Science Network Requirements  

Science Conference Proceedings (OSTI)

The Energy Sciences Network (ESnet) is the primary provider of network connectivityfor the US Department of Energy Office of Science (SC), the single largest supporter of basic research in the physical sciences in the United States. In support of the Office ofScience programs, ESnet regularly updates and refreshes its understanding of the networking requirements of the instruments, facilities, scientists, and science programs that it serves. This focus has helped ESnet to be a highly successful enabler of scientific discovery for over 20 years.

Dart, Eli; Tierney, Brian; Dart, Eli; Biocca, A.; Carlson, R.; Chen, J.; Cotter, S.; Dattoria, V.; Davenport, J.; Gaenko, A.; Kent, P.; Lamm, M.; Miller, S.; Mundy, C.; Ndousse, T.; Pederson, M.; Perazzo, A.; Popescu, R.; Rouson, D.; Sekine, Y.; Sumpter, B.; Wang, C.-Z.; Whitelam, S.; Zurawski, J.

2011-02-01T23:59:59.000Z

9

ESnet Network Measurements ESCC Feb 15 2007  

E-Print Network (OSTI)

1 ESnet Network Measurements ESCC Feb 15 2007 Joe Metzger metzger@es.net #12;2 Measurement · ESnet · FCCN · FNAL · GARR · GEANT2 * Plus others who are contributing, but haven't added their names deployed at least 1 perfSONAR service (Jan 2007) #12;6 ESnet perfSONAR Progress · ESnet Deployed Services o

10

BES Science Network Requirements  

E-Print Network (OSTI)

the Directors of the Office of Science, Office of AdvancedOffice of Basic Energy Sciences. This is LBNL report LBNL-BES Science Network Requirements Report of the Basic Energy

Dart, Eli

2011-01-01T23:59:59.000Z

11

Authorizations to Operate for the Energy Sciences Network Enclave (ESnet)  

NLE Websites -- All DOE Office Websites (Extended Search)

About ESnet » Governance » Authorizations to Operate for the About ESnet » Governance » Authorizations to Operate for the Energy Sciences Network Enclave (ESnet) About ESnet Overview ESnet Staff Governance ESnet Acceptable Use Policy Site Coordinators Authorizations to Operate for the Energy Sciences Network Enclave (ESnet) Policy Board Our Network Case Studies ESnet Strategic Plan ESnet Organizational Chart ESnet History Science Requirements Careers Contact Us Technical Assistance: 1 800-33-ESnet (Inside the US) 1 800-333-7638 (Inside the US) 1 510-486-7600 (Globally) 1 510-486-7607 (Globally) Report Network Problems: trouble@es.net Provide Web Site Feedback: info@es.net Authorizations to Operate for the Energy Sciences Network Enclave (ESnet) The following letters include Lawrence Berkeley National Laboratory Authority to Operate the Energy Sciences Network Enclave (ESnet) from the

12

ESnet  

NLE Websites -- All DOE Office Websites (Extended Search)

Network Research PI Meeting Network Research PI Meeting September 28, 2005 ESnet On-Demand Secure Circuits and Advance Reservation System (OSCARS) Chin Guok (chin@es.net) ESnet Network Engineer David Robertson (dwrobertson@lbl.gov) DSD Computer Software Engineer Lawrence Berkeley National Laboratory 2 Virtual Circuit Network Service * Every requirements workshop involving the science community has put bandwidth-on-demand as the highest priority - e.g. for o Massive data transfers for collaborative analysis of experiment data o Real-time data analysis for remote instruments o Control channels for remote instruments o Deadline scheduling for data transfers o "Smooth" interconnection for complex Grid workflows New network services are critical for ESnet to meet the need of large-scale science like LHC.

13

ESnet  

NLE Websites -- All DOE Office Websites (Extended Search)

QUILT QUILT May 15-16, 2006 Chin Guok (chin@es.net) ESnet Network Engineer David Robertson (dwrobertson@lbl.gov) DSD Computer Software Engineer Lawrence Berkeley National Laboratory 1 2 Outline Requirements for Virtual Circuit Services Virtual Circuit Characteristics Virtual Circuit Service Functional Requirements Environment of Science is Inherently Multi-Domain Inter-Domain Virtual Circuit Requirements OSCARS: Guaranteed Bandwidth VC Service for SC Science ESnet Virtual Circuit Service Roadmap 3 Requirements for Virtual Circuit Services * Identified as one of the two most important new network service by the 2002 science requirements workshop (#5b-1) (the other being end-to-end performance monitoring) * Intended to address specific science needs 4 Virtual Circuit Characteristics

14

Science-Driven Network Requirements for ESnet  

Science Conference Proceedings (OSTI)

The Energy Sciences Network (ESnet) is the primary providerof network connectivity for the US Department of Energy Office ofScience, the single largest supporter of basic research in the physicalsciences in the United States. In support of the Office of Scienceprograms, ESnet regularly updates and refreshes its understanding of thenetworking requirements of the instruments, facilities and scientiststhat it serves. This focus has helped ESnet to be a highly successfulenabler of scientific discovery for over 20 years. In August, 2002 theDOE Office of Science organized a workshop to characterize the networkingrequirements for Office of Science programs. Networking and middlewarerequirements were solicited from a representative group of scienceprograms. The workshop was summarized in two documents the workshop finalreport and a set of appendixes. This document updates the networkingrequirements for ESnet as put forward by the science programs listed inthe 2002 workshop report. In addition, three new programs have beenadded. Theinformation was gathered through interviews with knowledgeablescientists in each particular program or field.

Adams, Paul; Canon, Shane; Carter, Steven; Draney, Brent; Greenwald, Martin; Hodges, Jason; Lauret, Jerome; Michaels, George; Rahn,Larry; Schissel, David; Strand, Gary; Walter, Howard; Wehner, Michael; Williams, Dean

2006-02-21T23:59:59.000Z

15

Building A Science DMZ Eli Dart, Network Engineer ESnet Network...  

NLE Websites -- All DOE Office Websites (Extended Search)

A Science DMZ Eli Dart, Network Engineer ESnet Network Engineering Group Joint Techs, Winter 2013 Honolulu, HI January 13, 2013 Lawrence Berkeley National Laboratory U.S....

16

ESnet - the energy sciences network strategic plan  

Science Conference Proceedings (OSTI)

The goal of the Energy Sciences Network (ESnet) Program is to provide a highly capable and reliable communications infrastructure that supports the Department of Energy`s (DOE) missions and enables DOE researchers to tap the power of leading-edge information technologies. ESnet provides an essential infrastructure that enhances national competitiveness and accelerates the development of future generations of high-performance, distributed computing systems and networks. These computing systems and networks are vital to modern scientific research. In addition, they enable development of new approaches to energy management, environmental restoration and waste management, national security, industrial processing, and health care, and also facilitate public access to government information. Extensive networks developed by the DOE`s high-energy physics and fusion energy research communities were the forerunners of the ESnet. These networks initially provided improved access to high-energy accelerator sites and to the Magnetic Fusion Energy Supercomputer Center, which opened at Lawrence Livermore National Laboratory in 1974.

NONE

1996-12-01T23:59:59.000Z

17

ESnet and Internet2 to launch next gen research network  

E-Print Network (OSTI)

"The Department of Energy's (DOE) Energy Sciences Network (ESnet) and Internet2 will deploy a high capacity nationwide network that will greatly enhance the capabilities of researchers across the country who participate in the DOE's scientific research efforts." (1 page)

2006-01-01T23:59:59.000Z

18

ESnet4: Advanced Networking and Services Supporting the Science Mission of DOE's Office of  

E-Print Network (OSTI)

1 Networking for the Future of Science Networking for the Future of Large-Scale Science: An ESnet Perspective William E. Johnston ESnet Department Head and Senior Scientist wej@es.net, www.es.net This talk is available at www.es.net/ESnet4 Energy Sciences Network Lawrence Berkeley National Laboratory Joint Techs

19

ESnet Update Summer 2007  

E-Print Network (OSTI)

/on at ESnet R. Kevin Oberman Sr. Network Engineer February 2, 2010 #12;Why ESnet is Signing · While not covered by the OMB mandate, ESnet supports several organizations which are required to sign · ESnet needs experience with DNSSEC to support these organizations effectively · Future mandates may cover ESnet #12;How

20

Science-Driven Network Requirements for ESnet  

E-Print Network (OSTI)

Neutron Source Network Requirements Six DOE laboratories arehas networking requirements which differ from many other DOEhas networking requirements which differ from many other DOE

2006-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "network esnet bes" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

Science-Driven Network Requirements for ESnet  

E-Print Network (OSTI)

Update to the 2002 Office of Science Networking RequirementsUpdate to the 2002 Office of Science Networking RequirementsUS Dept. of Energy, Office of Science, Advanced Scientific

2006-01-01T23:59:59.000Z

22

ESnet: a Production IPv6 Network  

NLE Websites -- All DOE Office Websites (Extended Search)

IPv6 Network In anticipation of the scalability problems with IPv4 (the current Internet Protocol), the Internet Engineering Task Force (IETF) has produced a comprehensive...

23

Networking for the Future of Science ESnet Status Update  

E-Print Network (OSTI)

that the problem lies beyond its infrastructure. In ESnet, a trouble ticket (generated when a problem is reported (USA, UK, France, Switzerland, Germany), seven time-zones, and five ASes (FNAL, ESnet, GEANT, DFN, DESY, and DFN reporting poor throughput between FNAL and DFN. This was subsequently forwarded to ESnet trouble

24

ESnet OID Registry  

NLE Websites -- All DOE Office Websites (Extended Search)

ESnet OID Registry ESnet OID Registry Services Overview ECS Audio/Video Conferencing Fasterdata IPv6 Network Network Performance Tools (perfSONAR) ESnet OID Registry PGP Key Service Virtual Circuits (OSCARS) DOE Grids Service Transition Contact Us Technical Assistance: 1 800-33-ESnet (Inside the US) 1 800-333-7638 (Inside the US) 1 510-486-7600 (Globally) 1 510-486-7607 (Globally) Report Network Problems: trouble@es.net Provide Web Site Feedback: info@es.net ESnet OID Registry # $Id: ESnet-oid-list,v 1.16 2009/03/11 22:16:11 helm Exp $ # # ESnet OIDs esnet: ansi.113612 esnet: 1.2.840.113612 # # This arc is tracked here: # [Formerly: http://asn1.elibel.tm.fr/cgi-bin/oid/display?oid=1.2.840.113612] # http://www.oid-info.com/get/1.2.840.113612 # Please report any discrepancies to trouble@es.net

25

ESnet4:  

NLE Websites -- All DOE Office Websites (Extended Search)

ESnet4: ESnet4: Networking for the Future of DOE Science William E. Johnston ESnet Department Head and Senior Scientist wej@es.net, www.es.net This talk is available at www.es.net/ESnet4 Energy Sciences Network Lawrence Berkeley National Laboratory Networking for the Future of Science Office of Science, Science Programs Requirements Workshops: Nuclear Physics May, 2008 2 DOE's Office of Science: Enabling Large-Scale Science * The Office of Science (SC) is the single largest supporter of basic research in the physical sciences in the United States, ... providing more than 40 percent of total funding ... for the Nation's research programs in high-energy physics, nuclear physics, and fusion energy sciences. (http://www.science.doe.gov) - SC funds 25,000 PhDs and PostDocs

26

ESnet Program Plan  

Science Conference Proceedings (OSTI)

The purpose of the Energy Sciences Network (ESnet) Program Plan is to establish, demonstrate, and represent the vision and recommendations of the ESnet Steering Committee regarding ESnet directions and implementations. This document is intended to assist the Office of Energy Research and the Scientific Computing Staff in ESnet program planning and management, including ESnet prioritization and funding. This document contains general information about ESnet in terms of both the current and future needs of Energy Research programs for networking infrastructure. Some historical information about Energy Research networking is provided to afford the reader a perspective from which to evaluate the increasing utility of networking to the Energy Research community. A current ESnet description is provided in detail. ESnet is one of the world's major scientific networks, and the information contained within this document will provide an understanding of ESnet architecture and major components. ESnet provides the Energy Research community with access to many other peer level networks and a multitude of other interconnected network facilities. The reader will be provided with information concerning ESnet's connectivity and interrelationship to other networks and facilities.

Not Available

1991-03-01T23:59:59.000Z

27

ESnet Planning, Status,  

NLE Websites -- All DOE Office Websites (Extended Search)

ESnet Planning, Status, ESnet Planning, Status, and Future Issues William E. Johnston, ESnet Department Head and Senior Scientist Joe Burrescia, General Manager Mike Collins, Chin Guok, and Eli Dart, Engineering Brian Tierney, Advanced Development Jim Gagliardi, Operations and Deployment Stan Kluz, Infrastructure and ECS Mike Helm, Federated Trust Dan Peterson, Security Officer Gizella Kapus, Business Manager and the rest of the ESnet Team wej@es.net, this talk is available at www.es.net Energy Sciences Network Lawrence Berkeley National Laboratory Networking for the Future of Science ASCAC, August 2008 2 DOE Office of Science and ESnet - the ESnet Mission * ESnet is an Office of Science ("SC") facility in the Office of Advanced Scientific Computing Research ("ASCR")

28

Energy Sciences Network (ESnet) | U.S. DOE Office of Science (SC)  

Office of Science (SC) Website

Energy Energy Sciences Network (ESnet) Advanced Scientific Computing Research (ASCR) ASCR Home About Research Facilities Accessing ASCR Supercomputers Oak Ridge Leadership Computing Facility (OLCF) Argonne Leadership Computing Facility (ALCF) National Energy Research Scientific Computing Center (NERSC) Energy Sciences Network (ESnet) Research & Evaluation Prototypes (REP) Innovative & Novel Computational Impact on Theory and Experiment (INCITE) ASCR Leadership Computing Challenge (ALCC) Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific Computing Advisory Committee (ASCAC) News & Resources Contact Information Advanced Scientific Computing Research U.S. Department of Energy SC-21/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-7486 F: (301)

29

Networking for the Future of Science ESnet Status Update  

E-Print Network (OSTI)

/ PSFC BNL NREL GA DOE GTN NNSA NNSA Sponsored (13+) Joint Sponsored (3) Other Sponsored (NSF LIGO, NOAA-country loop to Houston ­ through there will probably also be a connection to NNSA's KC Plant. #12;11 ESnet4

30

ESnet Awards and Honors  

NLE Websites -- All DOE Office Websites (Extended Search)

initiative dedicated to dramatically improving the energy efficiency of information and communications technology (ICT) networks by a factor of 1,000. ESnet will collaborate with...

31

ESnet Program Plan 1994  

Science Conference Proceedings (OSTI)

This Program Plan characterizes ESnet with respect to the current and future needs of Energy Research programs for network infrastructure, services, and development. In doing so, this document articulates the vision and recommendations of the ESnet Steering Committee regarding ESnet`s development and its support of computer networking facilities and associated user services. To afford the reader a perspective from which to evaluate the ever-increasing utility of networking to the Energy Research community, we have also provided a historical overview of Energy Research networking. Networking has become an integral part of the work of DOE principal investigators, and this document is intended to assist the Office of Scientific Computing in ESnet program planning and management, including prioritization and funding. In particular, we identify the new directions that ESnet`s development and implementation will take over the course of the next several years. Our basic goal is to ensure that the networking requirements of the respective scientific programs within Energy Research are addressed fairly. The proliferation of regional networks and additional network-related initiatives by other Federal agencies is changing the process by which we plan our own efforts to serve the DOE community. ESnet provides the Energy Research community with access to many other peer-level networks and to a multitude of other interconnected network facilities. ESnet`s connectivity and relationship to these other networks and facilities are also described in this document. Major Office of Energy Research programs are managed and coordinated by the Office of Basic Energy Sciences, the Office of High Energy and Nuclear Physics, the Office of Magnetic Fusion Energy, the Office of Scientific Computing, and the Office of Health and Environmental Research. Summaries of these programs are presented, along with their functional and technical requirements for wide-area networking.

Merola, S.

1994-11-01T23:59:59.000Z

32

ESnet Update  

NLE Websites -- All DOE Office Websites (Extended Search)

ESnet Update ESnet Update Winter 2008 Joint Techs Workshop Joe Burrescia ESnet General Manager January 21, 2008 Energy Sciences Network Lawrence Berkeley National Laboratory Networking for the Future of Science 2 TWC SNLL YUCCA MT PNNL LIGO I N E E L LANL SNLA Allied Signal ARM KCP NOAA OSTI ORAU SRS JLAB PPPL Lab DC Offices MIT ANL BNL FNAL AMES N R E L LLNL GA DOE-ALB OSC GTN NNSA International (high speed) 10 Gb/s SDN core 10G/s IP core 2.5 Gb/s IP core MAN rings (≥ 10 G/s) Lab supplied links OC12 ATM (622 Mb/s) OC12 / GigEthernet OC3 (155 Mb/s) 45 Mb/s and less NNSA Sponsored (12) Joint Sponsored (3) Other Sponsored (NSF LIGO, NOAA) Laboratory Sponsored (6) 42 end user sites SINet (Japan) Russia (BINP) CA*net4 France GLORIAD (Russia, China) Korea (Kreonet2

33

ESnet in the News  

NLE Websites -- All DOE Office Websites (Extended Search)

100 Gbps Network October 31, 2011 | Author(s): Kate Taylor | The US Department of Energy will next month demonstrate an upgrade to the ESnet academic network that will take...

34

NERSC/DOE BES Requirements Workshop Reference Materials  

NLE Websites -- All DOE Office Websites (Extended Search)

(BER) Basic Energy Sciences (BES) Fusion Energy Sciences (FES) Advanced Scientific Computing Research (ASCR) High Energy Physics (HEP) Final Workshop Reports Past ESnet...

35

ESnet Acceptable Use Policy  

NLE Websites -- All DOE Office Websites (Extended Search)

is subordinate to all applicable U.S. government laws, as well as Department of Energy (DOE) orders. General Guidelines ESnet is a Wide Area Network (WAN) infrastructure project...

36

ESnet_Cover_New  

NLE Websites -- All DOE Office Websites (Extended Search)

Science Network Science Network Requirements Office of Advanced Scientific Computing Research Network Requirements Workshop Conducted April 15 and 16, 2009 Final Report ASCR Network Requirements Workshop Office of Advanced Scientific Computing Research, DOE Office of Science Energy Sciences Network Gaithersburg, MD - April 15 and 16, 2009 ESnet is funded by the US Department of Energy, Office of Science, Office of Advanced Scientific Computing Research (ASCR). Vince Dattoria is the ESnet Program Manager. ESnet is operated by Lawrence Berkeley National Laboratory, which is operated by the University of California for the US Department of Energy under contract DE-AC02-05CH11231. This work was supported by the Directors of the Office of Science, Office of Advanced

37

ESnet Update Steve Cotter, Dept Head  

E-Print Network (OSTI)

and Environmental Research · Fusion Energy Sciences · High Energy Physics · Nuclear Physics ESnetUpdate Feb3Updates · NetworkUpdate · AdvancedNetworkingIniDaDve · ESnetProjects · InfrastructureProjects · StaffProjects #12InformaDonStrategist ­ SoVwareEngineer #12;NetworkUpdate CurrentStatus,Upgrades #12;ESnet4Network 5 #12;Equipment

38

And the OSCARS Goes to ESnet!  

NLE Websites -- All DOE Office Websites (Extended Search)

And the OSCARS Goes to ESnet! And the OSCARS Goes to ESnet! News & Publications ESnet in the News ESnet News Media & Press Publications and Presentations Galleries ESnet Awards and Honors Contact Us Technical Assistance: 1 800-33-ESnet (Inside the US) 1 800-333-7638 (Inside the US) 1 510-486-7600 (Globally) 1 510-486-7607 (Globally) Report Network Problems: trouble@es.net Provide Web Site Feedback: info@es.net And the OSCARS Goes to ESnet! Interview With Greg Bell, on Real-World 100G Multi-Layer SDN November 1, 2013 | Tags: OSCARS, Solenoidal Tracker at RHIC (STAR) This interview by Roy Chua was originally published on SDN Central website. GRBell-headshot.jpg Greg Bell Greg Bell is director of the Scientific Networking Division at Lawrence Berkeley National Laboratory (Berkeley Lab) in California, and director of

39

ESnet in the News  

NLE Websites -- All DOE Office Websites (Extended Search)

Author(s): ESnet Offers National Dark Fiber Network to Greentouch | Author(s): ESnet Offers National Dark Fiber Network to Greentouch | Source: Network World | Berkeley Lab and Internet2 consortium launch world's fastest network July 14, 2011 | Author(s): Bob Brewin | Source: Nextgov | Lawrence Berkeley National Laboratory and the Internet2 consortium plan to build a blistering fast network for the Energy Department that can transmit data at the rate of 100 gigabits per second to support scientific research. ... 100G Ethernet to power Department of Energy network July 14, 2011 | Author(s): Bob Brown | Source: Network World | ‎A new national 100Gbps prototype network being built for the Department of Energy will provide about a tenfold increase in speed for labs doing research together on topics such as clean energy and climate ...

40

ESnet in the News  

NLE Websites -- All DOE Office Websites (Extended Search)

Energy Research Network Reaches 100 Gbps Energy Research Network Reaches 100 Gbps October 16, 2012 | Author(s): Ariel Bleicher | Source: IEEE Spectrum | Writing in the October issue of IEEE Spectrum, Ariel Bleicher describes the science drivers behind ESnet's move to a 100 gigabit-per-second network. "When the new 100-gigabit-per-second Energy Sciences Network (ESnet) goes live next month, it will be the world's fastest continent-spanning science network. But this distinction will probably be temporary: Research networks around the world are in the midst of their own big upgrades," wrote Bleicher. "Now more than ever, science depends on the ability to quickly and reliably move massive amounts of data over great distances. Breakthrough predictions and discoveries, such as climate change and

Note: This page contains sample records for the topic "network esnet bes" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

Implications of ESnet Site Reliance on Cloud Services  

E-Print Network (OSTI)

1 Networking for the Future of Science Networking for the Future of Large-Scale Science: An ESnet Perspective William E. Johnston ESnet Department Head and Senior Scientist wej@es.net, www.es.net This talk is available at www.es.net/ESnet4 Energy Sciences Network Lawrence Berkeley National Laboratory Joint Techs

42

CENIC and ESnet Connect at 100 Gigabits per Second  

NLE Websites -- All DOE Office Websites (Extended Search)

Initiatives in California (CENIC) and the Department of Energy's Energy Sciences Network (ESnet) have announced a 100-Gigabit-per-second (Gbps) link between their networks at...

43

Advance Network Reservation and Provisioning for Science  

E-Print Network (OSTI)

such as Internet 2 [1] and ESnet (Energy Sciences Network) [advanced bandwidth reservation in ESnet for on-demand highto improve the current ESnet advance network reservation

Balman, Mehmet

2010-01-01T23:59:59.000Z

44

ESnet, Orange Silicon Valley, and Bay Microsystems Demonstrate...  

NLE Websites -- All DOE Office Websites (Extended Search)

Microsystems Demonstrate the World's First Long Distance 40Gbps RDMA Data Transfer Public-Private Collaborative Demo Leveraged New ESnet Advanced Networking Initiative (ANI)...

45

Network Communication as a Service-Oriented Capability  

E-Print Network (OSTI)

21] Measuring Circuit Based Networks, Joe Metzger, ESnet.http://www.es.net/pub/esnet- doc/index.html#JM021307 [22] ESnet Network Measurements, Joe Metzger,

Johnston, William

2008-01-01T23:59:59.000Z

46

Experiences with 100Gbps Network Applications  

E-Print Network (OSTI)

used resources of the ESnet Advanced Network Initiative (routers and services. ESnet and Internet2 worked together tomany more CPU cores involved. ESnet and Internet2, the two

Balman, Mehmet

2013-01-01T23:59:59.000Z

47

Interactive Analysis of Large Network Data Collections Using Query-Driven Visualization  

E-Print Network (OSTI)

Burrescia and W. Johnston, ESnet Status Update, Internet2the Energy Sciences Network (ESnet) at Lawrence Berkeleytraffic volume over ESnet, a production network servicing

2005-01-01T23:59:59.000Z

48

A New Approach in Advance Network Reservation and Provisioning for High-Performance Scientific Data Transfers  

E-Print Network (OSTI)

high speed networks such as ESnet (Energy Sciences Network).reservation systems, i.e. ESnets OSCARS (On- demand SecureEnergy Sciences Network (ESnet). Delivering network-as- a-

Balman, Mehmet

2011-01-01T23:59:59.000Z

49

ESnet4_USA_Map_V2  

NLE Websites -- All DOE Office Websites (Extended Search)

Network Network Requirements Report of the Nuclear Physics Network Requirements Workshop Conducted May 6 and 7, 2008 Nuclear Physics Network Requirements Workshop Nuclear Physics Program Office, DOE Office of Science Energy Sciences Network Bethesda, MD - May 6 and 7, 2008 ESnet is funded by the US Department of Energy, Office of Science, Advanced Scientific Computing Research (ASCR) program. Vince Dattoria is the ESnet Program Manager. ESnet is operated by Lawrence Berkeley National Laboratory, which is operated by the University of California for the US Department of Energy under contract DE-AC02-05CH11231. This work was supported by the Directors of the Office of Science, Office of Advanced Scientific Computing Research, Facilities Division, and the Office of Nuclear Physics.

50

A Flexible Reservation Algorithm for Advance Network Provisioning  

E-Print Network (OSTI)

reservation sys- tems such as ESnets OSCARS, establishEnergy Sciences Network (ESnet) [1]. Delivering network-as-advanced bandwidth reservation in ESnet for on-demand high

Balman, Mehmet

2010-01-01T23:59:59.000Z

51

ESnet's On-Demand Bandwidth Reservation Service Wins R&D 100 Award  

NLE Websites -- All DOE Office Websites (Extended Search)

ESnet's On-Demand Bandwidth ESnet's On-Demand Bandwidth Reservation Service Wins R&D 100 Award News & Publications ESnet in the News ESnet News Media & Press Publications and Presentations Galleries ESnet Awards and Honors Contact Us Technical Assistance: 1 800-33-ESnet (Inside the US) 1 800-333-7638 (Inside the US) 1 510-486-7600 (Globally) 1 510-486-7607 (Globally) Report Network Problems: trouble@es.net Provide Web Site Feedback: info@es.net ESnet's On-Demand Bandwidth Reservation Service Wins R&D 100 Award OSCARS Honored with "Oscar of Innovation" July 8, 2013 Contact: Jon Bashor, 510-486-5849, jbashor@lbl.gov RD100 OSCARS 0.6 was recognized as one of R&D Magazine's top 100 technologies. Widely recognized as a mark of excellence, the R&D 100 Awards are the only

52

ESxSNMP: ESnet eXtensible SNMP System  

NLE Websites -- All DOE Office Websites (Extended Search)

ESxSNMP: ESxSNMP: ESnet eXtensible SNMP System Jon Dugan Summer JointTechs 2010, Columbus, OH Lawrence Berkeley National Laboratory U.S. Department of Energy | Office of Science ESnet Statistics Overview ESxSNMP (Data Collection) Graphite (Visualization) Analytics (Custom Reports) Net Almanac (Metadata) Lawrence Berkeley National Laboratory U.S. Department of Energy | Office of Science Why another SNMP collection system? Desire to retain raw, unmolested data * Disk is cheap * At least one application in ESnet needs raw data * Aids in troubleshooting of erroneous statistics Automatically detect changes in the network * New interfaces are detected within minutes (tunable) * Dynamic circuits make this especially important Metadata

53

A User Driven Dynamic Circuit Network Implementation  

E-Print Network (OSTI)

LCG-EGEE- 20080426.pdf ESnet (2008) [Online]. Available:the DOE Energy Science Network (ESnet) [5] has designed andIP core network. The ESnet IP core network is architected

Guok, Chin

2009-01-01T23:59:59.000Z

54

BES Workshop Reports  

Office of Science (SC) Website

Resources » Resources » Reports Basic Energy Sciences (BES) BES Home About Research Facilities Science Highlights Benefits of BES Funding Opportunities Basic Energy Sciences Advisory Committee (BESAC) News & Resources Program Summaries Brochures Reports Abstracts Accomplishments Presentations BES and Congress Science for Energy Flow Seeing Matter Scale of Things Chart Contact Information Basic Energy Sciences U.S. Department of Energy SC-22/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-3081 F: (301) 903-6594 E: sc.bes@science.doe.gov More Information » News & Resources Reports Print Text Size: A A A RSS Feeds FeedbackShare Page Provided below is a listing of BES workshop reports that address the status of some important research areas that are used to help identify research

55

ESnet: Large-Scale Science and Data Management ( (LBNL Summer Lecture Series)  

Science Conference Proceedings (OSTI)

Summer Lecture Series 2004: Bill Johnston of Berkeley Lab's Computing Sciences is a distinguished networking and computing researcher. He managed the Energy Sciences Network (ESnet), a leading-edge, high-bandwidth network funded by DOE's Office of Science. Used for everything from videoconferencing to climate modeling, and flexible enough to accommodate a wide variety of data-intensive applications and services, ESNet's traffic volume is doubling every year and currently surpasses 200 terabytes per month.

Johnston, Bill

2004-06-16T23:59:59.000Z

56

ESnet 4 Helps Researchers Seeking the Origins of Matter | U.S. DOE Office  

Office of Science (SC) Website

Energy Energy Sciences Network (ESnet) » ESnet 4 Helps Researchers Seeking the Origins of Matter Advanced Scientific Computing Research (ASCR) ASCR Home About Research Facilities Accessing ASCR Supercomputers Oak Ridge Leadership Computing Facility (OLCF) Argonne Leadership Computing Facility (ALCF) National Energy Research Scientific Computing Center (NERSC) Energy Sciences Network (ESnet) Research & Evaluation Prototypes (REP) Innovative & Novel Computational Impact on Theory and Experiment (INCITE) ASCR Leadership Computing Challenge (ALCC) Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific Computing Advisory Committee (ASCAC) News & Resources Contact Information Advanced Scientific Computing Research U.S. Department of Energy SC-21/Germantown Building

57

ESnet On-demand Secure Circuits and  

E-Print Network (OSTI)

Membership 3.1 Creation of PMA The initial DOE Grids PMA will consist of: #12;1. ESnet staff members or the registration authority for that organization. Possible sources are: ESnet operations, Middle ware providers (i for the PMA 2. Liaison to ESnet operations 3. Running the PMA meetings 4. Insuring Minutes are taken

58

BES Science Network Requirements  

E-Print Network (OSTI)

Yukiko Sekine, DOE/SC/ASCR (NERSC Program Manager) BobbyLaboratory Using NERSC Supercomputers.at facilities such as NERSC, OLCF, ALCF and the University

Dart, Eli

2011-01-01T23:59:59.000Z

59

BES Science Network Requirements  

E-Print Network (OSTI)

Office of Advanced Scientific Computing Research, FacilitiesOffice of Advanced Scientific Computing Research (ASCR).Office of Advanced Scientific Computing Research, Facilities

Dart, Eli

2011-01-01T23:59:59.000Z

60

BES Science Network Requirements  

E-Print Network (OSTI)

at the Argonne Leadership Computing Facility (ALCF). 10.2at the Argonne Leadership Computing Facility (ALCF). Data

Dart, Eli

2011-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "network esnet bes" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

BES Science Network Requirements  

E-Print Network (OSTI)

facilities such as NERSC, OLCF, ALCF and the University ofLeadership Computing Facility (ALCF). 10.2 Key Local Scienceto receive simulation data from ALCF for further processing.

Dart, Eli

2011-01-01T23:59:59.000Z

62

BES Science Network Requirements  

E-Print Network (OSTI)

handling automation and the streamlining of the measurement process will create a strong incentive for expanding the use of remote

Dart, Eli

2011-01-01T23:59:59.000Z

63

BES Science Network Requirements  

E-Print Network (OSTI)

Neutron Source) Chris Mundy, PNNL (Chemical Physics) ThomasPNNL Chemical Physics at PNNL 14.1 Background We conduct

Dart, Eli

2011-01-01T23:59:59.000Z

64

BES Science Network Requirements  

E-Print Network (OSTI)

High Flux Isotope Reactor (HFIR) are both DOE experimentalof the two facilities SNS and HFIR, SNS has the ability toand Facilities As SNS and HFIR facility users come from

Dart, Eli

2011-01-01T23:59:59.000Z

65

BES Science Network Requirements  

E-Print Network (OSTI)

Spallation Neutron Source (SNS) and the High Flux Isotopea centralized data archive at SNS. A single measurement isof the two facilities SNS and HFIR, SNS has the ability to

Dart, Eli

2011-01-01T23:59:59.000Z

66

BES Science Network Requirements  

E-Print Network (OSTI)

facilities such as NERSC, OLCF, ALCF and the University ofLeadership Computing Facility (OLCF) manages the computingcluster is a resource of the OLCF and performs a variety of

Dart, Eli

2011-01-01T23:59:59.000Z

67

BES Science Network Requirements  

E-Print Network (OSTI)

and government institutions. NSLS is an important nationalpapers published annually, NSLS is one of the most prolificpartially on work performed at NSLS: in 2003 and NSLS Users

Dart, Eli

2011-01-01T23:59:59.000Z

68

BES Science Network Requirements  

E-Print Network (OSTI)

21 Neutron Scattering Science User Facilities atmajor scientific user facilities to serve researchers fromuse. The Scientific User Facilities (SUF) Division supports

Dart, Eli

2011-01-01T23:59:59.000Z

69

BES Science Network Requirements  

E-Print Network (OSTI)

Linac Coherent Light Source (LCLS), located at SLAC, beganfor exploiting the unique LCLS scientific capabilities areshort-term storage using the LCLS offline system. Access to

Dart, Eli

2011-01-01T23:59:59.000Z

70

BES Science Network Requirements  

NLE Websites -- All DOE Office Websites (Extended Search)

led International Workshop on Measurement and Computation of Turbulent Non-Premixed Flames. Within this construct, researchers meet to exchange data, validate and develop...

71

BES Science Network Requirements  

E-Print Network (OSTI)

the Directors of the Office of Science, Office of AdvancedBasic Energy Sciences, DOE Office of Science Energy SciencesDepartment of Energy, Office of Science, Office of Advanced

Dart, Eli

2011-01-01T23:59:59.000Z

72

BER_ESnet_Cover_WhiteBckgrnd  

NLE Websites -- All DOE Office Websites (Extended Search)

Network Requirements Network Requirements Report of the Biological and Environmental Research Network Requirements Workshop Conducted April 29-30, 2010 ESnet Energy Sciences Network DISCLAIMER This document was prepared as an account of work sponsored by the United States Government. While this document is believed to contain correct information, neither the United States Government nor any agency thereof, nor The Regents of the University of California, nor any of their employees, makes any warranty, express or implied, or assumes any legal responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by its trade name,

73

25420_ESNet_ASCR_Cover_Final2  

NLE Websites -- All DOE Office Websites (Extended Search)

Network Requirements Network Requirements ASCR Network Requirements Review Final Report Conducted October 4-5, 2012 ESnet Energy Sciences Network DISCLAIMER This document was prepared as an account of work sponsored by the United States Government. While this document is believed to contain correct information, neither the United States Government nor any agency thereof, nor The Regents of the University of California, nor any of their employees, makes any warranty, express or implied, or assumes any legal responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by its trade name, trademark, manufacturer, or

74

26094_ESNet_BER_Cover_052213  

NLE Websites -- All DOE Office Websites (Extended Search)

and Environmental Research Network Requirements and Environmental Research Network Requirements BER Network Requirements Review Final Report Conducted November 29-30, 2012 ESnet Energy Sciences Network DISCLAIMER This document was prepared as an account of work sponsored by the United States Government. While this document is believed to contain correct information, neither the United States Government nor any agency thereof, nor The Regents of the University of California, nor any of their employees, makes any warranty, express or implied, or assumes any legal responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by its trade name, trademark, manufacturer, or

75

ESnet4_cover  

NLE Websites -- All DOE Office Websites (Extended Search)

Science Network Requirements Office of High Energy Physics Network Requirements Workshop Conducted August 27 and 28, 2009 Final Report HEP Network Requirements Workshop Office of...

76

ESnet_Cover_New  

NLE Websites -- All DOE Office Websites (Extended Search)

Science Network Requirements Office of Advanced Scientific Computing Research Network Requirements Workshop Conducted April 15 and 16, 2009 Final Report ASCR Network Requirements...

77

ESnet in the News  

NLE Websites -- All DOE Office Websites (Extended Search)

countries." Read the full article. (link to http:spectrum.ieee.orgtelecominternetenergy-research-network-reaches-100-gbps) Network Upgrades Meet the Need for Speed April 10,...

78

ESnet Requirements Workshops  

NLE Websites -- All DOE Office Websites (Extended Search)

health monitoring, etc will place new demands on networks * Multi-site near-real-time or real-time network interaction * Need expressed by multiple science communities...

79

Networking for the Future of DOE Science  

E-Print Network (OSTI)

1 ESnet Network Measurement Current Status Joe Metzger Jan 24th 2008 ESCC meeting Energy Sciences ­ Regular scheduled bandwidth testing · Internal to ESnet IP & SDN Network · External to important peers, and ESnet sites that are interested ­ Dynamic end-user testing via · perfSONAR · ESnet Performance Center

80

Networking for the Future of Science Network Architecture and  

E-Print Network (OSTI)

-Scale Science: An ESnet Perspective William E. Johnston ESnet Department Head and Senior Scientist wej@es.net, www.es.net This talk is available at www.es.net/ESnet4 Energy Sciences Network Lawrence Berkeley for these complex problems · ESnet is an SC program whose primary mission is to enable the large- scale science

Note: This page contains sample records for the topic "network esnet bes" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

ESnet: It's Everywhere You Want Your Data To Be  

NLE Websites -- All DOE Office Websites (Extended Search)

ESnet: It's Everywhere You Want Your Data To Be ESnet: It's Everywhere You Want Your Data To Be Print esnet logo Although it's defined by DOE as a national user facility just as...

82

ESnet: Advanced Networking for Science  

NLE Websites -- All DOE Office Websites (Extended Search)

dramatic achievements of 21st century scientific discovery-often involving enormous data handling and remote collabora- tion requirements-have been made possible by accompanying...

83

BES Budget | U.S. DOE Office of Science (SC)  

Office of Science (SC) Website

Scientific and Technical Information Honors & Awards Jobs Contact Us You are here: SC Home Programs BES Home About BES BES Budget Basic Energy Sciences (BES) BES...

84

Final report and recommendations of the ESnet Authentication Pilot Project  

Science Conference Proceedings (OSTI)

To conduct their work, U.S. Department of Energy (DOE) researchers require access to a wide range of computing systems and information resources outside of their respective laboratories. Electronically communicating with peers using the global Internet has become a necessity to effective collaboration with university, industrial, and other government partners. DOE`s Energy Sciences Network (ESnet) needs to be engineered to facilitate this {open_quotes}collaboratory{close_quotes} while ensuring the protection of government computing resources from unauthorized use. Sensitive information and intellectual properties must be protected from unauthorized disclosure, modification, or destruction. In August 1993, DOE funded four ESnet sites (Argonne National Laboratory, Lawrence Livermore National Laboratory, the National Energy Research Supercomputer Center, and Pacific Northwest Laboratory) to begin implementing and evaluating authenticated ESnet services using the advanced Kerberos Version 5. The purpose of this project was to identify, understand, and resolve the technical, procedural, cultural, and policy issues surrounding peer-to-peer authentication in an inter-organization internet. The investigators have concluded that, with certain conditions, Kerberos Version 5 is a suitable technology to enable ESnet users to freely share resources and information without compromising the integrity of their systems and data. The pilot project has demonstrated that Kerberos Version 5 is capable of supporting trusted third-party authentication across an inter-organization internet and that Kerberos Version 5 would be practical to implement across the ESnet community within the U.S. The investigators made several modifications to the Kerberos Version 5 system that are necessary for operation in the current Internet environment and have documented other technical shortcomings that must be addressed before large-scale deployment is attempted.

Johnson, G.R.; Moore, J.P. [Pacific Northwest Lab., Richland, WA (United States); Athey, C.L. [Lawrence Livermore National Lab., CA (United States); Engert, D.E. [Argonne National Lab., IL (United States); Ramus, J.E. [National Energy Research Supercomputer Center, Livermore, CA (United States)

1995-01-01T23:59:59.000Z

85

ESnet in the News  

NLE Websites -- All DOE Office Websites (Extended Search)

said Mr. Cotter, referring specifically to researchers working with the Large Hadron Collider, which produces troves of data. The network should also help climate...

86

Essential Role in Modern Science William E. Johnston, ESnet Adviser and Senior Scientist  

NLE Websites -- All DOE Office Websites (Extended Search)

Evolution of Research and Evolution of Research and Education Networks and their Essential Role in Modern Science William E. Johnston, ESnet Adviser and Senior Scientist Chin Guok, Evangelos Chaniotakis, Kevin Oberman, Eli Dart, Joe Metzger and Mike O'Conner, Core Engineering, Brian Tierney, Advanced Development, Mike Helm and Dhiva Muruganantham, Federated Trust Steve Cotter, Department Head wej@es.net, this talk is available at www.es.net Energy Sciences Network Lawrence Berkeley National Laboratory Networking for the Future of Science TERENA Networking Conference 2009 2 DOE Office of Science and ESnet - the ESnet Mission * The Office of Science (SC) is the single largest supporter of basic research in the physical sciences in the United States, providing more than 40 percent of total funding for US research programs in high-energy

87

ESnet 2009 Excellence Gov Award Winner | U.S. DOE Office of Science (SC)  

Office of Science (SC) Website

Energy Energy Sciences Network (ESnet) » 2009 Excellence Gov Award Winner Advanced Scientific Computing Research (ASCR) ASCR Home About Research Facilities Accessing ASCR Supercomputers Oak Ridge Leadership Computing Facility (OLCF) Argonne Leadership Computing Facility (ALCF) National Energy Research Scientific Computing Center (NERSC) Energy Sciences Network (ESnet) Research & Evaluation Prototypes (REP) Innovative & Novel Computational Impact on Theory and Experiment (INCITE) ASCR Leadership Computing Challenge (ALCC) Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific Computing Advisory Committee (ASCAC) News & Resources Contact Information Advanced Scientific Computing Research U.S. Department of Energy SC-21/Germantown Building

88

PDSF Network Activity  

NLE Websites -- All DOE Office Websites (Extended Search)

Statistics Network Activity Network Activity PDSF Network Uplinks to NERSC (dual 10 Gbps) NERSC Uplink to ESnet Last edited: 2011-03-31 22:20:59...

89

ESnet Update Steve Cotter, Dept Head Lawrence Berkeley National Lab  

NLE Websites -- All DOE Office Websites (Extended Search)

Update Update Steve Cotter, Dept Head Lawrence Berkeley National Lab Winter 2011 Joint Techs Clemson, SC Feb 2, 2011 Lawrence Berkeley National Laboratory U.S. Department of Energy | Office of Science @ESnet: It's all about the Science * More bandwidth to DOE facilities and Labs at lower costs * Richer network services in support of distributed science - Develop 'network aware' integrated services that deliver 'end-to-end' high- performance data transfer, HPC/cloud computing, and science collaborative services * Carrier-class network operations providing high network availability to all DOE facilities - Seamless network interoperability across multiple network domains * Develop and deploy energy-aware and efficient networking infrastructure * Provide a networking research testbed for DOE community

90

BES-NERSCWorkshopPresen.ppt  

NLE Websites -- All DOE Office Websites (Extended Search)

Samtaney (PPPL) ASCR Program Representatives BER BES FES HEP (Tech-X) (Emory University) Bas Braams Eric Bylaska (PNNL) (UC Berkeley) Thomas Miller David Beck (University of WA)...

91

BES Funding Opportunities | U.S. DOE Office of Science (SC)  

Office of Science (SC) Website

BES Funding Opportunities BES Funding Opportunities Materials Sciences and Engineering (MSE) Division MSE Home About Research Areas Energy Frontier Research Centers (EFRCs) DOE Energy Innovation Hubs BES Funding Opportunities The Computational Materials and Chemical Sciences Network (CMCSN) Theoretical Condensed Matter Physics Scientific Highlights Reports and Activities Principal Investigators' Meetings BES Home Research Areas BES Funding Opportunities Print Text Size: A A A RSS Feeds FeedbackShare Page There are no funding opportunities specific to the Materials Sciences and Engineering Division at this time. Please visit the BES Funding Opportunities Page (link below) for general information on preparing applications to BES programs and for information on Funding Opportunities available to broader audiences than Materials

92

Distributed Computing Environment in the ESnet Community R. Roy Whitney  

E-Print Network (OSTI)

Accelerator Facility 12000 Jefferson Avenue Newport News, VA 23601 whitney@cebaf.gov, http://www.cebaf to ESnet management. · ESnet Site Coordinating Committee (ESCC) -- Roy Whitney (CEBAF) Chair Coordinate Coordinating Committee (ESCC) -- Roy Whitney (CEBAF) Chair Coordinate the implementation of ESnet Community

93

ESnet eXtensible SNMP System Jon Dugan  

E-Print Network (OSTI)

ESxSNMP: ESnet eXtensible SNMP System Jon Dugan Summer JointTechs 2010, Columbus, OH #12;Lawrence Berkeley National Laboratory U.S. Department of Energy | Office of Science ESnet application in ESnet needs raw data · Aids in troubleshooting of erroneous statistics Automatically detect

94

ESnet Defined: Challenges and Overview Department of Energy Lehman Review of ESnet February 21-23, 2006  

NLE Websites -- All DOE Office Websites (Extended Search)

Networking for the Future of Science Networking for the Future of Science ESnet4: Networking for the Future of DOE Science Joe Metzger Senior Engineer metzger@es.net, www.es.net Energy Sciences Network Lawrence Berkeley National Laboratory Networking for the Future of Science International ICFA Workshop on Digital Divide Issues for Global e-Science October 25, 2007 2 DOE's Office of Science: Enabling Large-Scale Science * The Office of Science (SC) is the single largest supporter of basic research in the physical sciences in the United States, ... providing more than 40 percent of total funding ... for the Nation's research programs in high-energy physics, nuclear physics, and fusion energy sciences. (http://www.science.doe.gov) - SC funds 25,000 PhDs and PostDocs * A primary mission of SC's National Labs is to build and operate very

95

24052_NP_ESnet_Cover_150_v3  

NLE Websites -- All DOE Office Websites (Extended Search)

Network Requirements Network Requirements Report of the Nuclear Physics Network Requirements Workshop Conducted August 25 and 26, 2011 ESnet Energy Sciences Network 2 DISCLAIMER This document was prepared as an account of work sponsored by the United States Government. While this document is believed to contain correct information, neither the United States Government nor any agency thereof, nor The Regents of the University of California, nor any of their employees, makes any warranty, express or implied, or assumes any legal responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by its trade

96

Distributed computing environment in the ESnet Community  

Science Conference Proceedings (OSTI)

The Energy Sciences Network (ESnet) Community is undertaking an ambitious project to coordinate its distributed computing. A reasonable question is: ''Why Coordinate Distributed Computing?'' Without a coordinating element, the number of links for communicating between a number of nodes would grow with order N {sup 2}. Inserting an effective coordinating principle can reduce the number of independently managed links to order N while still leaving all of the links available for actual communications. A good example from telecommunications is the public phone system where one relies on central coordination of the phone numbers rather than having to personally negotiate the switching information with everyone with whom one wishes to communicate. The Internet's distributed system of name servers is another good example. The meta-question to the first question is: ''Why use distributed computing?'' The answer can be put in three parts: Individual end users require access to far more information and computational resources than they can acquire locally. For some applications, distributed computers are nearly as efficient as centralized computers and the total CPU resources available may be significant. Many resources are unique. They cannot easily be replicated. Some examples in the DOE community include research accelerators, fusion facilities, systems of virtual caves, and environmental laboratories. The overall response to the questions can be summarized in the concept of virtual laboratories. Humans want their resources responding within a second and at arm's length or closer. Using coordinated distributed computing, these requirements can be met by placing facilities on-line via Internet style technologies. Further, human communication is 10% verbal, 40% audio and 50% physiological. Using combinations of words, sounds and pictures including animation, virtual laboratory technologies can exploit all of these aspects of human communication. The human end user receives the benefit of virtual presence at on-line facilities and makes use of a rich collection of resources.

R. Roy Whitney

1995-10-01T23:59:59.000Z

97

ESNET requirements for physics research at the SSCL  

Science Conference Proceedings (OSTI)

High energy physics (HEP) research at the Superconducting Super Collider Laboratory (SSCL) is a highly collaborative affair. Scientists participating in SSC research come from a worldwide distribution of institutions. The Solenoid Detector Collaboration (SDC) currently has more than 1100 members from 20 countries. Likewise, the Gamma, Electron, Muon (GEM) collaboration members number more than 1000 from 17 countries. Roughly half of the collaborators on these experiments are from outside the US Communications, in general, and data transmission, in particular, are crucial to the success of the collaborations and to the ultimate success of the SSC. The bulk of data transmission to and from the Laboratory is over the Energy Science NETwork (ESNET). The purpose of this document is to describe the anticipated network capacity needed to provide adequate communication among these widespread collaborations.

Cormell, L.; Johnson, T.

1993-06-01T23:59:59.000Z

98

ESNETPKI-007 Helm & Muruganantham ESnet Hardware Security Module Evaluation September 2002  

E-Print Network (OSTI)

ESNETPKI-007 Helm & Muruganantham ESnet Hardware Security Module Evaluation September 2002 . Public Key Infrastructure ESnet Hardware Security Module Evaluation September 2002 Overview The Certificate ESnet Hardware Security Module Evaluation Table of Contents OVERVIEW

99

High Performance Bulk Data Brian Tierney and Joe Metzger, ESnet  

E-Print Network (OSTI)

High Performance Bulk Data Transfer Brian Tierney and Joe Metzger, ESnet Joint Techs, Columbus OH://mitas.csail.mit.edu/papers/ Bauer_Clark_Lehr_Broadband_Spee d_Measurements.pdf 7/12/10 ESnet Template Examples 17 Figure 11: Scatter memory in power of two sizes, so you may even need 16/1.5 = 11 times more buffer space! 7/12/10 ESnet

100

ESnet/DECnet security policy, procedures and guidelines  

Science Conference Proceedings (OSTI)

This paper presents a draft of a proposed ESnet-DECnet security manual identifying present and future DECnet security issues, including DECnet security guidelines.

Caruso, D.T.; Bemis, C. Jr. (General Atomics, San Diego, CA (USA); Oak Ridge National Lab., TN (USA))

1989-09-01T23:59:59.000Z

Note: This page contains sample records for the topic "network esnet bes" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

Fermilab | Science at Fermilab | Computing | Networking  

NLE Websites -- All DOE Office Websites (Extended Search)

For years, Fermilab has been the largest user of Energy Services Network, or ESnet, a network the Department of Energy runs through Lawrence Berkeley National Laboratory...

102

Science-Driven Network Requirements for ESnet  

E-Print Network (OSTI)

ATLAS Tier1 center is at the Brookhaven National Laboratory.center is located at the Brookhaven National Laboratory. Inthe ATLAS Tier1 center at Brookhaven. USLHCNet will also

2006-01-01T23:59:59.000Z

103

Science-Driven Network Requirements for ESnet  

E-Print Network (OSTI)

is already requesting that NERSC's computational systems andNLCF) Brent Draney, LBNL (NERSC) Martin Greenwald, MIT (Science) Howard Walter, LBNL (NERSC) Michael Wehner, LBNL (

2006-01-01T23:59:59.000Z

104

Science-Driven Network Requirements for ESnet  

E-Print Network (OSTI)

of Science, Advanced Scientific Computing Research (ASCR)Office of Advanced Scientific Computing Research, FacilitiesNLCF) from Advanced Scientific Computing Research; and the

2006-01-01T23:59:59.000Z

105

Science-Driven Network Requirements for ESnet  

E-Print Network (OSTI)

Physics) George Michaels, PNNL (Bioinformatics) Larry Rahn,2-6 PNNL Bioinformaticsmicroscope within 6 months. PNNL expects to have 20 of these

2006-01-01T23:59:59.000Z

106

Science-Driven Network Requirements for ESnet  

E-Print Network (OSTI)

of the science done at SNS, which runs 24 hr/day. 2 Gbits/Spallation Neutron Source (SNS) from Basic Energy Sciences;Spallation Neutron Source (SNS) is a new facility at the Oak

2006-01-01T23:59:59.000Z

107

BES and Congress | U.S. DOE Office of Science (SC)  

Office of Science (SC) Website

BES and Congress Basic Energy Sciences (BES) BES Home About Research Facilities Science Highlights Benefits of BES Funding Opportunities Basic Energy Sciences Advisory Committee...

108

Science-Driven Network  

NLE Websites -- All DOE Office Websites (Extended Search)

Science-Driven Network Requirements for ESnet Update to the 2002 Office of Science Networking Requirements Workshop Report February 21, 2006 1-1 Science-Driven Network Requirements...

109

Definition: Emergency Or Bes Emergency | Open Energy Information  

Open Energy Info (EERE)

Or Bes Emergency Jump to: navigation, search Dictionary.png Emergency Or Bes Emergency Any abnormal system condition that requires automatic or immediate manual action to prevent...

110

BES_NERSC_Wang.ppt  

NLE Websites -- All DOE Office Websites (Extended Search)

A
DFT
nanostructure
calcula0on
 A
DFT
nanostructure
calcula0on
 case
study
 Lin-Wang
Wang
 Lawrence
Berkeley
Na0onal
Lab
 For BES/NERSC large scale simulation workshop A summary of mp304 NERSC account  Allocated and used computer time in 2009: ~ 1 M hours  Total number of users: ~ 7 active users  Main codes used: VASP, LAMMP, Petot, Escan, LS3DF  Number of topics (number of published papers): ~ 15  Number of processors for typical jobs: 16 to 1000, sometimes 10,000  Duration of the jobs: 20 minutes, to several hours, to a few days  The main considerations which determine the jobs we run: the physics problem, queue time and computer time.  Other facilities: no group cluster, INCITE project at NCCS and ALCF (but not discussed here).

111

Audit of energy research telecommunications data networks  

Science Conference Proceedings (OSTI)

The Department of Energy's (DOE) Office of Energy Research is implementing a new telecommunications data network called the Energy Sciences Network (ESNET). The purpose of our audit was to determine if ESNET will be a cost-effective means of upgrading networking support for Energy Research programs.

Not Available

1989-07-20T23:59:59.000Z

112

Definition: Bes Emergency | Open Energy Information  

Open Energy Info (EERE)

Bes Emergency Bes Emergency Jump to: navigation, search Dictionary.png Bes Emergency failure of transmission facilities or generation supply that could adversely affect the reliability of the Bulk Electric System.[1] Also Known As BPS, Bulk Power System (Electricity transmission) Related Terms transmission lines, transmission line References ↑ Glossary of Terms Used in Reliability Standards An i LikeLike UnlikeLike You like this.Sign Up to see what your friends like. nline Glossary Definition Retrieved from "http://en.openei.org/w/index.php?title=Definition:Bes_Emergency&oldid=480539" Categories: Definitions ISGAN Definitions What links here Related changes Special pages Printable version Permanent link Browse properties 429 Throttled (bot load) Error 429 Throttled (bot load)

113

BER Science Network Requirements  

E-Print Network (OSTI)

ESnet (Networking) Bert de Jong, PNNL (EMSL/HPC) KerstinKleese van Dam, PNNL (Data Management) Miron Livny,ORNL (ARM) Chris Oehmen, PNNL (Bioinformatics/ScalaBLAST)

Dart, Eli

2011-01-01T23:59:59.000Z

114

Microsoft Word - ESnet Strategic Plan - March 2 2013.docx  

NLE Websites -- All DOE Office Websites (Extended Search)

! ! Strategic!Plan! FY20143FY2023! ESnet! ! March!1,!2013! ! ! ! ! ! ! ! ! This!work!was!supported!by!the!Director,!Office!of!Science,!Office!of!Advanced!! Scientific!Computing!Research!of!the!U.S.!Department!of!Energy!under!Contract!No.!DECAC02C05CH11231. ! ! Table&of&Contents& 1.&Facility&Overview&................................................................................................................&1! 2.&Mission,&Goals,&Drivers,&and&Strategic&Connections&.............................................................&4! 2.1!Vision!and!Mission!Statements!....................................................................................................................................!4! 2.2!Facility!Strategic!Goals!.....................................................................................................................................................!4!

115

DNSSEC Implementation Guidelines This paper is a brief overview of issues that ESnet sites should take into consideration when planning  

E-Print Network (OSTI)

DNSSEC Implementation Guidelines Abstract This paper is a brief overview of issues that ESnet sites should take into consideration when planning on implementation of DNSSEC as mandated by OMB. Only ESnet may be risky. Of the domains most commonly to be used by ESnet sites, only 'gov' and 'org

116

BioEnergy Solutions BES | Open Energy Information  

Open Energy Info (EERE)

California Zip 93309 Product Bakersfield-based firm installing and operating biogas plants for farmers and food producers. References BioEnergy Solutions (BES)1...

117

NERSC/DOE BES Requirements Workshop Worksheet - Normand Modine  

NLE Websites -- All DOE Office Websites (Extended Search)

Modine BES Requirements Worksheet 1.1. Project Information - Center for Integrated Nanotechnology (CINT) - Theory and Simulation Thrust Document Prepared By Normand Modine Project...

118

NERSC/DOE BES Requirements Workshop Worksheet - Brian Austin  

NLE Websites -- All DOE Office Websites (Extended Search)

Brian Austin Brian Austin BES Requirements Worksheet 1.1. Project Information - Quantum Monte Carlo for the Electronic Structure of Molecules Document Prepared By Brian Austin...

119

BES Budget | U.S. DOE Office of Science (SC)  

Office of Science (SC) Website

BES BES Budget Budget Budget Home About Budget by Program ASCR Budget BES Budget BER Budget FES Budget HEP Budget NP Budget WDTS Budget SLI & SS Budget SCPD Budget GAO Audit Reports External Links Contact Information Budget U.S. Department of Energy SC-41/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-3541 F: (301) 903-9524 More Information » Budget by Program BES Budget Print Text Size: A A A RSS Feeds FeedbackShare Page The following links contain BES's budget request to Congress for current and prior years: FY2014 Budget Request to Congress .pdf file (1.1MB) FY2013 Budget Request to Congress .pdf file (844KB) FY2012 Budget Request to Congress .pdf file (662KB) FY2011 Budget Request to Congress .pdf file (466KB) FY2010 Budget Request to Congress .pdf file (551KB)

120

Microsoft PowerPoint - 2010 CEDS Peer Review SEI OCTAVE BES.pptx  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

(within and between stakeholders) OCTAVE BES Process Inputs: An up to date enterprise technical architecture showing the cyber assets that are used by the selected BES...

Note: This page contains sample records for the topic "network esnet bes" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

FES Science Network Requirements  

E-Print Network (OSTI)

FES Science Network Requirements Report of the Fusion Energy Sciences Network Requirements Workshop Conducted March 13 and 14, 2008 #12;FES Science Network Requirements Workshop Fusion Energy Sciences Program Office, DOE Office of Science Energy Sciences Network Gaithersburg, MD ­ March 13 and 14, 2008 ESnet

Geddes, Cameron Guy Robinson

122

Attendees  

NLE Websites -- All DOE Office Websites (Extended Search)

About ESnet Overview ESnet Staff Governance Our Network Case Studies ESnet Strategic Plan ESnet Organizational Chart ESnet History Science Requirements Network Requirements...

123

BER Requirements Review 2012  

NLE Websites -- All DOE Office Websites (Extended Search)

About ESnet Overview ESnet Staff Governance Our Network Case Studies ESnet Strategic Plan ESnet Organizational Chart ESnet History Science Requirements Network Requirements...

124

ASCR Requirements Review 2012  

NLE Websites -- All DOE Office Websites (Extended Search)

About ESnet Overview ESnet Staff Governance Our Network Case Studies ESnet Strategic Plan ESnet Organizational Chart ESnet History Science Requirements Network Requirements...

125

FAQ for Case Study Authors  

NLE Websites -- All DOE Office Websites (Extended Search)

About ESnet Overview ESnet Staff Governance Our Network Case Studies ESnet Strategic Plan ESnet Organizational Chart ESnet History Science Requirements Network Requirements...

126

Science Requirements  

NLE Websites -- All DOE Office Websites (Extended Search)

Science Requirements About ESnet Overview ESnet Staff Governance Our Network Case Studies ESnet Strategic Plan ESnet Organizational Chart ESnet History Science Requirements Network...

127

The Science DMZ Eli Dart, Network Engineer ESnet Engineering...  

NLE Websites -- All DOE Office Websites (Extended Search)

1, 2011 Lawrence Berkeley National Laboratory U.S. Department of Energy | Office of Science Overview Science Needs * Data tsunami, new science processes * Current problems *...

128

Networking for the Future of Science ESnet Status Update  

E-Print Network (OSTI)

-ALB OSC GTN NNSA International (high speed) 10 Gb/s SDN core 10G/s IP core 2.5 Gb/s IP core MAN rings ( 10 G/s) Lab supplied links OC12 ATM (622 Mb/s) OC12 / GigEthernet OC3 (155 Mb/s) 45 Mb/s and less NNSA SNLA Allied Signal ARM KCP NOAA OSTI ORAU SRS JLAB PPPL Lab DC Offices MIT/ PSFC BNL GA DOE GTN NNSA

129

BER Science Network Requirements  

NLE Websites -- All DOE Office Websites (Extended Search)

Network Network Requirements Report of the Biological and Environmental Research Network Requirements Workshop Conducted July 26 and 27, 2007 BER Science Network Requirements Workshop Biological and Environmental Research Program Office, DOE Office of Science Energy Sciences Network Bethesda, MD - July 26 and 27, 2007 ESnet is funded by the US Dept. of Energy, Office of Science, Advanced Scientific Computing Research (ASCR) program. Dan Hitchcock is the ESnet Program Manager. ESnet is operated by Lawrence Berkeley National Laboratory, which is operated by the University of California for the US Department of Energy under contract DE-AC02-05CH11231. This work was supported by the Directors of the Office of Science, Office of Advanced Scientific Computing Research, Facilities Division, and the Office of Biological &

130

BES Committees of Visitors | U.S. DOE Office of Science (SC)  

NLE Websites -- All DOE Office Websites (Extended Search)

BES BES Committees of Visitors Basic Energy Sciences Advisory Committee (BESAC) BESAC Home Meetings Members Charges/Reports Charter .pdf file (41KB) BES Committees of Visitors BES Home BES Committees of Visitors Print Text Size: A A A RSS Feeds FeedbackShare Page Office of Basic Energy Sciences (BES) Basic Energy Sciences Advisory Committee (BESAC) 2013 BESAC COV Report on Energy Frontier Research Centers and Joint Center for Artificial Photosynthesis Energy Innovation Hub (EFRC and JCAP) .pdf file (1.6MB) BES Response to BESAC COV Report on EFRC and JCAP .pdf file (30KB) BESAC COV Report on Division of Scientific User Facilities (SUF) .pdf file (398KB) BES Response to BESAC COV Report on SUF .pdf file (86KB) 2012 BESAC COV Report on Division of Materials Sciences and Engineering

131

BES Committees of Visitors | U.S. DOE Office of Science (SC)  

NLE Websites -- All DOE Office Websites (Extended Search)

Committees of Committees of Visitors Basic Energy Sciences (BES) BES Home About Staff Organization Chart .pdf file (51KB) BES Budget BES Committees of Visitors Directions Jobs Organizational History Research Facilities Science Highlights Benefits of BES Funding Opportunities Basic Energy Sciences Advisory Committee (BESAC) News & Resources Contact Information Basic Energy Sciences U.S. Department of Energy SC-22/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-3081 F: (301) 903-6594 E: sc.bes@science.doe.gov More Information » About BES Committees of Visitors Print Text Size: A A A RSS Feeds FeedbackShare Page Office of Basic Energy Sciences (BES) Basic Energy Sciences Advisory Committee (BESAC) 2013 BESAC COV Report on Energy Frontier Research Centers and Joint

132

ESNETPKI-007 Helm Muruganantham ESnet Hardware Security Module Evaluation September 2002 . Public Key Infrastructure ESnet Hardware Security Module Evaluation  

E-Print Network (OSTI)

This document discusses the technical details of Chrysalis, nCipher and Rainbow Hardware Security Module products. We conducted this investigation in order to identify a product or products we could use in our Certificate Authority project in support of DOE Office of Sciences computational grids. The investment DOE made in our project justified the time and expense of bringing this CA up to a higher standard of trustworthiness. We were able to identify some usable products and selected nCipher for our use, and this is described below. The experience we went through may be of benefit to others, and any discussion provoked by this report may be of benefit to us. 1.1 Scope of Problem The heart of the PKI is the Certificate Authority (CA). A certificate authority signs objects, such as subscribers' public keys; these objects are then trusted by relying parties. What that trust means is a matter left to the Certificate Policy (CP) document, and the relying parties themselves (and perhaps other agreements or statutory limitations). The CA Signing Key is used to sign all certificates that are issued by that particular CA, as well as certificate revocation lists (CRLs) and other objects. The very foundation of the PKI is based on the integrity of that root key. If the signing key is compromised, all certificates and CRLs within that specific CA service are suspect and the Certificate Authority's overall credibility is brought into serious question. In addition, ESnet needs to run some of the CA services "on line". Without going into the details of the iPlanet CMS software, the registration manager and the certificate manager are meant to be on-line services, available to customers, subscribers, registration authority agents, and administrators at all times. The servers that s...

September Overview The; Esnetpki- Helm

2002-01-01T23:59:59.000Z

133

Microsoft Word - ESnet JUNOS TiMOS Configurations for OSCARS Ethernet VLAN Circuit Services_ISIS-LDP-VPLS-v3.docx  

NLE Websites -- All DOE Office Websites (Extended Search)

ESnet ESnet J UNOS/TiMOS C onfigurations f or OSCARS E thernet V LAN C ircuit S ervices Using I S---IS, L DP, a nd l 2circuits Introduction This d ocument i s t o p rovide a b etter u nderstanding o f t he d ataplane c onfiguration that E Snet u ses t o p rovide O SCARS E thernet V LAN c ircuit s ervices o n J uniper a nd Alcatel r outers. T he e xample t opology (see F ig 1 .) i s m ade u p o f f our c onnected routers ( Juniper M 10, M X80, M X960, a nd A lcatel ( ALU) 7 750c4) with connections between t hem c onsisting o f 1 GE a nd 1 0GE l inks. Figure 1 . T opology S etup To c larify the configurations, three b i---directional c ircuits h ave b een c onfigured t o connect the three end---points ( netlab---pt4, n etlab---pt5, a nd n etlab---pt6) o ver d ifferent network p aths, a nd d ifferent V LAN I Ds f or t he s ervice h andoff.

134

NERSC-BES-Requirements-Yelick10.ppt  

NLE Websites -- All DOE Office Websites (Extended Search)

Basic Energy Basic Energy Science Research Katherine Yelick NERSC Director Requirements Workshop NERSC Mission Accelerate the pace of scientific discovery for all DOE Office of Science (SC) research through computing and data systems and services. Efficient algorithms + flexible software + effective machines great computational science. 2 2010 Allocations NERSC is the Production Facility for DOE Office of Science * NERSC serves a large population Approximately 3000 users, 400 projects, 500 code instances * Focus on "unique" resources - Expert consulting and other services - High end computing systems - High end storage systems - Interface to high speed networking * Science-driven - Machine procured competitively using

135

BER Science Network Requirements  

Science Conference Proceedings (OSTI)

The Energy Sciences Network (ESnet) is the primary provider of network connectivity for the US Department of Energy Office of Science, the single largest supporter of basic research in the physical sciences in the United States. In support of the Office of Science programs, ESnet regularly updates and refreshes its understanding of the networking requirements of the instruments, facilities, scientists, and science programs that it serves. This focus has helped ESnet to be a highly successful enabler of scientific discovery for over 20 years. In April 2010 ESnet and the Office of Biological and Environmental Research, of the DOE Office of Science, organized a workshop to characterize the networking requirements of the science programs funded by BER. The requirements identified at the workshop are summarized and described in more detail in the case studies and the Findings section. A number of common themes emerged from the case studies and workshop discussions. One is that BER science, like many other disciplines, is becoming more and more distributed and collaborative in nature. Another common theme is that data set sizes are exploding. Climate Science in particular is on the verge of needing to manage exabytes of data, and Genomics is on the verge of a huge paradigm shift in the number of sites with sequencers and the amount of sequencer data being generated.

Dart, Eli; Tierney, Brian

2010-11-01T23:59:59.000Z

136

Experiences with 100Gbps network applications  

Science Conference Proceedings (OSTI)

100Gbps networking has finally arrived, and many research and educational institutions have begun to deploy 100Gbps routers and services. ESnet and Internet2 worked together to make 100Gbps networks available to researchers at the Supercomputing 2011 ... Keywords: 100gbps networking, data intensive distributed computing, data movement, visualization

Mehmet Balman; Eric Pouyoul; Yushu Yao; E. Wes Bethel; Burlen Loring; Mr Prabhat; John Shalf; Alex Sim; Brian L. Tierney

2012-06-01T23:59:59.000Z

137

ESnet's Work in SDN, Energy Efficiency Highlighted at Global...  

NLE Websites -- All DOE Office Websites (Extended Search)

Mike Bennett, head of the Network Engineering Group, gave an invited talk on "Network Energy Efficiency in the Data Center" as part of the program track on Optical Interconnection...

138

Historic Sudbury Neutrino Observatory Data, Carried by ESnet, Lives on at  

NLE Websites -- All DOE Office Websites (Extended Search)

Historic Sudbury Historic Sudbury Neutrino Observatory Data, Carried by ESnet, Lives on at NERSC Historic Sudbury Neutrino Observatory Data, Carried by ESnet, Lives on at NERSC January 26, 2010 | Tags: Astrophysics Contact: Linda Vu, lvu@lbl.gov, +1 510 486 2402 SNO.jpg SNO onsists of an 18-meters-in-diameter stainless steel geodesic sphere inside of which is an acrylic vessel filled with 1000 tons of heavy water (deuterium oxide or D2O). Attached to the sphere are 9,522 ultra-sensitive light-sensors called photomultiplier tubes. When neutrinos passing through the heavy water interact with deuterium nuclei, flashes of light are emitted. The photomultiplier tubes detect these light flashes and convert them into electronic signals that scientists can analyze for the presence

139

DOE rolls out powerful ESnet for scientific researchers  

E-Print Network (OSTI)

"The optical network will serve more than 50,000 DOE laboratory staffers and scientists as well as thousands of academic researchers." (2/3 page)

Gardner, David

2007-01-01T23:59:59.000Z

140

Remote operation of the TFTR BES experiment from an off-site location  

SciTech Connect

The capability of controlling a diagnostic subsystem and interactively participating in the experimental program on Tokamak Fusion Test Reactor (TFTR) from a remote site has been developed and demonstrated on the TFTR BES experiment. Interactive communications are established from multiscreen remote workstations at the University of Wisconsin to the Princeton Plasma Physics Laboratory VAX cluster via multiple terminal sessions across the InterNet national network. Full control of the diagnostic, access to all relevant machine parameters and wave forms, and operations run logs are all available with automatic updates between plasma shots. A real-time count-down shot clock with timer, machine event status, and shot number provides a real-time interface to the TFTR shot sequence. This means of remote participation in a central fusion experiment provides vital experience for extrapolation to implementation on an ignition device to test engineering concepts.

Fonck, R.J.; Cosby, G.; Durst, R. (Department of Nuclear Engineering and Engineering Physics, University of Wisconsin-Madison, Madison, Wisconsin 53706 (United States)); Gibney, T.; Thompson, M.; Paul, S.F. (Princeton Plasma Physics Laboratory, Princeton, New Jersey 08543 (United States))

1992-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "network esnet bes" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

Third DOE BES Separations Research Workshop | U.S. DOE Office of Science  

Office of Science (SC) Website

Third DOE BES Separations Research Workshop Third DOE BES Separations Research Workshop Chemical Sciences, Geosciences, & Biosciences (CSGB) Division CSGB Home About Research Areas Scientific Highlights Reports & Activities Principal Investigators' Meetings BES Home Reports & Activities Third DOE BES Separations Research Workshop Print Text Size: A A A RSS Feeds FeedbackShare Page Third DOE/BES Separations Research Workshop Hilton DeSoto Hotel Savannah Georgia May 12-14, 1999 Organizing Committee Dr. Richard Gordon Richard.Gordon@science.doe.gov DOE/BES Separations & Analysis Prog. Dr. Charles H Byers cbyers@isopro.net Chem Tech Division Oak Ridge National Laboratory Dr. Hank Cochran hdc@ornl.gov Chem Tech Division Oak Ridge National Laboratory Prof. Robin Rogers robin@radar.ch.ua.edu Department of Chemistry

142

Archives of BES CRAs June 2008 | U.S. DOE Office of Science (SC)  

Office of Science (SC) Website

June 2008 June 2008 Basic Energy Sciences (BES) BES Home About Research Materials Sciences & Engineering (MSE) Chemical Sciences, Geosciences, and Biosciences (CSGB) Accelerator and Detector Research Research Conduct Policies DOE Energy Innovation Hubs Energy Frontier Research Centers National Nanotechnology Initiative (NNI) Facilities Science Highlights Benefits of BES Funding Opportunities Basic Energy Sciences Advisory Committee (BESAC) News & Resources Contact Information Basic Energy Sciences U.S. Department of Energy SC-22/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-3081 F: (301) 903-6594 E: sc.bes@science.doe.gov More Information » Research Archives of BES CRAs June 2008 Print Text Size: A A A RSS Feeds FeedbackShare Page The research portfolio of the Basic Energy Sciences (BES) program consists

143

Archives of BES CRAs May 2006 | U.S. DOE Office of Science (SC)  

Office of Science (SC) Website

May 2006 May 2006 Basic Energy Sciences (BES) BES Home About Research Materials Sciences & Engineering (MSE) Chemical Sciences, Geosciences, and Biosciences (CSGB) Accelerator and Detector Research Research Conduct Policies DOE Energy Innovation Hubs Energy Frontier Research Centers National Nanotechnology Initiative (NNI) Facilities Science Highlights Benefits of BES Funding Opportunities Basic Energy Sciences Advisory Committee (BESAC) News & Resources Contact Information Basic Energy Sciences U.S. Department of Energy SC-22/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-3081 F: (301) 903-6594 E: sc.bes@science.doe.gov More Information » Research Archives of BES CRAs May 2006 Print Text Size: A A A RSS Feeds FeedbackShare Page The research portfolio of the Basic Energy Sciences (BES) program consists

144

Archives of BES CRAs April 2003 | U.S. DOE Office of Science (SC)  

Office of Science (SC) Website

April 2003 April 2003 Basic Energy Sciences (BES) BES Home About Research Materials Sciences & Engineering (MSE) Chemical Sciences, Geosciences, and Biosciences (CSGB) Accelerator and Detector Research Research Conduct Policies DOE Energy Innovation Hubs Energy Frontier Research Centers National Nanotechnology Initiative (NNI) Facilities Science Highlights Benefits of BES Funding Opportunities Basic Energy Sciences Advisory Committee (BESAC) News & Resources Contact Information Basic Energy Sciences U.S. Department of Energy SC-22/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-3081 F: (301) 903-6594 E: sc.bes@science.doe.gov More Information » Research Archives of BES CRAs April 2003 Print Text Size: A A A RSS Feeds FeedbackShare Page The research portfolio of the Basic Energy Sciences (BES) program consists

145

Basic Energy Sciences (BES) Homepage | U.S. DOE Office of Science (SC)  

Office of Science (SC) Website

BES Home BES Home Basic Energy Sciences (BES) BES Home About Research Facilities Science Highlights Benefits of BES Funding Opportunities Basic Energy Sciences Advisory Committee (BESAC) News & Resources Contact Information Basic Energy Sciences U.S. Department of Energy SC-22/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-3081 F: (301) 903-6594 E: sc.bes@science.doe.gov More Information » Science for Energy Discovery science solves mysteries, sparks innovation, and stimulates future technologies. This principle provides the inspiration for the fundamental energy research and the remarkable collection of major scientific user facilities supported by Basic Energy Sciences.Read More Discovery Science Materials Sciences and Engineering Understanding, predicting, and controlling materials and their

146

HEP Science Network Requirements--Final Report  

E-Print Network (OSTI)

and attended the workshop. ESnet would also like to thankstaff was very helpful. ESnet is funded by the US DepartmentASCR). Vince Dattoria is the ESnet Program Manager. ESnet is

Dart Ed, Eli

2010-01-01T23:59:59.000Z

147

26093_ESNet_Belle_II_Cover_v3  

NLE Websites -- All DOE Office Websites (Extended Search)

Belle-II Experiment Network Requirements Belle-II Experiment Network Requirements Belle-II Experiment Collaboration Energy Sciences Network October 17-18, 2012 3 DISCLAIMER This document was prepared as an account of work sponsored by the United States Government. While this document is believed to contain correct information, neither the United States Government nor any agency thereof, nor The Regents of the University of California, nor any of their employees, makes any warranty, express or implied, or assumes any legal responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by its trade name, trademark, manufacturer, or

148

ASCR Science Network Requirements  

E-Print Network (OSTI)

April 15 and 16, 2009 ESnet is funded by the US DepartmentASCR). Vince Dattoria is the ESnet Program Manager.ESnet is operated by Lawrence Berkeley National Laboratory,

Dart, Eli

2010-01-01T23:59:59.000Z

149

NP Science Network Requirements  

E-Print Network (OSTI)

staff was very helpful. ESnet is funded by the U.S.ASCR). Vince Dattoria is the ESnet Program Manager.ESnet is operated by Lawrence Berkeley National Laboratory,

Dart, Eli

2013-01-01T23:59:59.000Z

150

BER Science Network Requirements  

E-Print Network (OSTI)

staff was very helpful. ESnet is funded by the US DepartmentASCR). Vince Dattoria is the ESnet Program Manager.ESnet is operated by Lawrence Berkeley National Laboratory,

Dart, Eli

2011-01-01T23:59:59.000Z

151

Archives of BES CRAs February 2002 | U.S. DOE Office of Science (SC)  

Office of Science (SC) Website

February 2002 February 2002 Basic Energy Sciences (BES) BES Home About Research Materials Sciences & Engineering (MSE) Chemical Sciences, Geosciences, and Biosciences (CSGB) Accelerator and Detector Research Research Conduct Policies DOE Energy Innovation Hubs Energy Frontier Research Centers National Nanotechnology Initiative (NNI) Facilities Science Highlights Benefits of BES Funding Opportunities Basic Energy Sciences Advisory Committee (BESAC) News & Resources Contact Information Basic Energy Sciences U.S. Department of Energy SC-22/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-3081 F: (301) 903-6594 E: sc.bes@science.doe.gov More Information » Research Archives of BES CRAs February 2002 Print Text Size: A A A RSS Feeds FeedbackShare Page

152

Archives of BES CRAs October 2004 | U.S. DOE Office of Science (SC)  

Office of Science (SC) Website

October 2004 October 2004 Basic Energy Sciences (BES) BES Home About Research Materials Sciences & Engineering (MSE) Chemical Sciences, Geosciences, and Biosciences (CSGB) Accelerator and Detector Research Research Conduct Policies DOE Energy Innovation Hubs Energy Frontier Research Centers National Nanotechnology Initiative (NNI) Facilities Science Highlights Benefits of BES Funding Opportunities Basic Energy Sciences Advisory Committee (BESAC) News & Resources Contact Information Basic Energy Sciences U.S. Department of Energy SC-22/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-3081 F: (301) 903-6594 E: sc.bes@science.doe.gov More Information » Research Archives of BES CRAs October 2004 Print Text Size: A A A RSS Feeds FeedbackShare Page

153

DOE-BES Chemical Sciences Highlights of Progress in Separations Sciences  

Office of Science (SC) Website

DOE-BES Chemical Sciences Highlights of Progress in DOE-BES Chemical Sciences Highlights of Progress in Separations Sciences 1980-1999 Chemical Sciences, Geosciences, & Biosciences (CSGB) Division CSGB Home About Research Areas Scientific Highlights Reports & Activities Principal Investigators' Meetings BES Home Reports & Activities DOE-BES Chemical Sciences Highlights of Progress in Separations Sciences 1980-1999 Print Text Size: A A A RSS Feeds FeedbackShare Page DOE-BES Chemical Sciences Highlights of Progress in Separations Sciences 1980-1999 Edited by Charles H. Byers IsoPro International Inc. 2140 Santa Cruz Ave, #C304 Menlo Park, CA 94025 DOE Chemical Sciences Highlights of Progress in Separations Sciences Introduction The singular wartime success of the Manhattan project was, in large part, due to the fact that project chemists, led by Glenn Seaborg, leveraged

154

NERSC/DOE BES Requirements Workshop Worksheet - Mark Jarrell  

NLE Websites -- All DOE Office Websites (Extended Search)

Mark Jarrell Mark Jarrell Mark Jarrell BES Requirements Worksheet 1.1. Project Information - SciDAC: Next Generation Multi-Scale Quantum Simulation Software for Strongly Correlated Materials Document Prepared By Mark Jarrell Project Title SciDAC: Next Generation Multi-Scale Quantum Simulation Software for Strongly Correlated Materials Principal Investigator Mark Jarrell Participating Organizations Louisiana State University Ohio SuperComputer Center UC Davis ORNL Funding Agencies DOE SC DOE NSA NSF NOAA NIH Other: 2. Project Summary & Scientific Objectives for the Next 5 Years Please give a brief description of your project - highlighting its computational aspect - and outline its scientific objectives for the next 3-5 years. Please list one or two specific goals you hope to reach in 5

155

NERSC/DOE BES Requirements Workshop Worksheet - Jeffrey B. Neaton  

NLE Websites -- All DOE Office Websites (Extended Search)

Jeffrey B. Neaton Jeffrey B. Neaton Jeffrey B. Neaton BES Requirements Worksheet 1.1. Project Information - Charge Transport and Excited States at Interfaces in Nanostructured Materials Document Prepared By Jeffrey B. Neaton Project Title Charge Transport and Excited States at Interfaces in Nanostructured Materials Principal Investigator Jeffrey B. Neaton Participating Organizations Lawrence Berkeley National Laboratory Funding Agencies DOE SC DOE NSA NSF NOAA NIH Other: 2. Project Summary & Scientific Objectives for the Next 5 Years Please give a brief description of your project - highlighting its computational aspect - and outline its scientific objectives for the next 3-5 years. Please list one or two specific goals you hope to reach in 5 years. Over the next 3-5 years, we seek to develop and apply first-principles

156

NERSC/DOE BES Requirements Workshop Worksheet - Peter Cummings  

NLE Websites -- All DOE Office Websites (Extended Search)

Peter Cummings Peter Cummings Peter Cummings BES Requirements Worksheet 1.1. Project Information - Molecular-Based Simulation of Complex and Nanostructured Fluids Document Prepared By Peter Cummings Project Title Molecular-Based Simulation of Complex and Nanostructured Fluids Principal Investigator Peter Cummings Participating Organizations Vanderbilt University Funding Agencies DOE SC DOE NSA NSF NOAA NIH Other: DOE/EERE 2. Project Summary & Scientific Objectives for the Next 5 Years Please give a brief description of your project - highlighting its computational aspect - and outline its scientific objectives for the next 3-5 years. Please list one or two specific goals you hope to reach in 5 years. We perform primarily molecular dynamics simulations of nanostructured

157

Microsoft PowerPoint - 2010 CEDS Peer Review SEI OCTAVE BES.pptx  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

CERT OCTAVE BES CERT OCTAVE BES Summary Slide: CERT OCTAVE BES Guidance in Identifying and Managing Electricity Sector Risk Outcomes: An operational cyber security risk assessment approach for the BES community. Roadmap Challenges: Limited ability to measure and assess cyber security posture, lack of consistent security posture, lack of consistent cyber security metrics, poor understanding of cyber risks, and weak business case for cyber security investments. Major Successes: Assessment methodology codified and first pilot scheduled to begin in August. Schedule: Pilot (08/10), Draft Methodology Report (09/10), Pilots 2 and 3 (10/10), Final Report and Training available (12/10). Level of Effort: $300K Funds Remaining: $234K Performers: SEI Partners: NERC CIP, AECC, and

158

ASCR Science Network Requirements  

Science Conference Proceedings (OSTI)

The Energy Sciences Network (ESnet) is the primary provider of network connectivity for the US Department of Energy Office of Science, the single largest supporter of basic research in the physical sciences in the United States. In support of the Office of Science programs, ESnet regularly updates and refreshes its understanding of the networking requirements of the instruments, facilities, scientists, and science programs that it serves. This focus has helped ESnet to be a highly successful enabler of scientific discovery for over 20 years. In April 2009 ESnet and the Office of Advanced Scientific Computing Research (ASCR), of the DOE Office of Science, organized a workshop to characterize the networking requirements of the programs funded by ASCR. The ASCR facilities anticipate significant increases in wide area bandwidth utilization, driven largely by the increased capabilities of computational resources and the wide scope of collaboration that is a hallmark of modern science. Many scientists move data sets between facilities for analysis, and in some cases (for example the Earth System Grid and the Open Science Grid), data distribution is an essential component of the use of ASCR facilities by scientists. Due to the projected growth in wide area data transfer needs, the ASCR supercomputer centers all expect to deploy and use 100 Gigabit per second networking technology for wide area connectivity as soon as that deployment is financially feasible. In addition to the network connectivity that ESnet provides, the ESnet Collaboration Services (ECS) are critical to several science communities. ESnet identity and trust services, such as the DOEGrids certificate authority, are widely used both by the supercomputer centers and by collaborations such as Open Science Grid (OSG) and the Earth System Grid (ESG). Ease of use is a key determinant of the scientific utility of network-based services. Therefore, a key enabling aspect for scientists beneficial use of high performance networks is a consistent, widely deployed, well-maintained toolset that is optimized for wide area, high-speed data transfer (e.g. GridFTP) that allows scientists to easily utilize the services and capabilities that the network provides. Network test and measurement is an important part of ensuring that these tools and network services are functioning correctly. One example of a tool in this area is the recently developed perfSONAR, which has already shown its usefulness in fault diagnosis during the recent deployment of high-performance data movers at NERSC and ORNL. On the other hand, it is clear that there is significant work to be done in the area of authentication and access control - there are currently compatibility problems and differing requirements between the authentication systems in use at different facilities, and the policies and mechanisms in use at different facilities are sometimes in conflict. Finally, long-term software maintenance was of concern for many attendees. Scientists rely heavily on a large deployed base of software that does not have secure programmatic funding. Software packages for which this is true include data transfer tools such as GridFTP as well as identity management and other software infrastructure that forms a critical part of the Open Science Grid and the Earth System Grid.

Dart, Eli; Tierney, Brian

2009-08-24T23:59:59.000Z

159

Advance Network Reservation and Provisioning for Science  

Science Conference Proceedings (OSTI)

We are witnessing a new era that offers new opportunities to conduct scientific research with the help of recent advancements in computational and storage technologies. Computational intensive science spans multiple scientific domains, such as particle physics, climate modeling, and bio-informatics simulations. These large-scale applications necessitate collaborators to access very large data sets resulting from simulations performed in geographically distributed institutions. Furthermore, often scientific experimental facilities generate massive data sets that need to be transferred to validate the simulation data in remote collaborating sites. A major component needed to support these needs is the communication infrastructure which enables high performance visualization, large volume data analysis, and also provides access to computational resources. In order to provide high-speed on-demand data access between collaborating institutions, national governments support next generation research networks such as Internet 2 and ESnet (Energy Sciences Network). Delivering network-as-a-service that provides predictable performance, efficient resource utilization and better coordination between compute and storage resources is highly desirable. In this paper, we study network provisioning and advanced bandwidth reservation in ESnet for on-demand high performance data transfers. We present a novel approach for path finding in time-dependent transport networks with bandwidth guarantees. We plan to improve the current ESnet advance network reservation system, OSCARS [3], by presenting to the clients, the possible reservation options and alternatives for earliest completion time and shortest transfer duration. The Energy Sciences Network (ESnet) provides high bandwidth connections between research laboratories and academic institutions for data sharing and video/voice communication. The ESnet On-Demand Secure Circuits and Advance Reservation System (OSCARS) establishes guaranteed bandwidth of secure virtual circuits at a certain time, for a certain bandwidth and length of time. Though OSCARS operates within the ESnet, it also supplies end-to-end provisioning between multiple autonomous network domains. OSCARS gets reservation requests through a standard web service interface, and conducts a Quality-of-service (QoS) path for bandwidth guarantees. Multi-protocol Label Switching (MPLS) and the Resource Reservation Protocol (RSVP) enable to create a virtual circuit using Label Switched Paths (LSP's). It contains three main components: a reservation manager, a bandwidth scheduler, and a path setup subsystem. The bandwidth scheduler needs to have information about the current and future states of the network topology in order to accomplish end-to-end bandwidth guaranteed paths.

Balman, Mehmet; Chaniotakis, Evangelos; Shoshani, Arie; Sim, Alex

2009-07-10T23:59:59.000Z

160

Energy research network management workshop  

Science Conference Proceedings (OSTI)

This report contains presentations on computer network management. The list of presentations are: ESNET Steering Committee; Site Access Coordinator Group; Magnetic Fusion Energy; HEPNET Review Committee; High Energy Physics Technical Coordinating Committee; Energy Research DECnet Working Group; A Research and Development Strategy for High Performance Computing; Compare Functionality of DECNET, MFENET, TCP/IP; Video Movie Making Using The LBL/MFE Experimental Link; Research in Distributed Computing over Long Haul Networks; Performance Improvements and Transport Protocols; HRC Report; Panel Discussion: ESNET Management Issues; NMFECC Operations Summary; Large Systems Overview File Storage and POSIX Interface; User Support Services; Overview of the MFENET II; and Access to Supercomputers at FSU Hardware, Software Status, and Remote Access.

Not Available

1988-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "network esnet bes" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

BES Committees of Visitors | U.S. DOE Office of Science (SC)  

Office of Science (SC) Website

BES Committees of Visitors BES Committees of Visitors Deputy Director for Science Programs Deputy Director Home Mission & Functions Deputy Director Biography Organization Staff Presentations & Testimony Federal Advisory Committees Committees of Visitors ASCR Committees of Visitors BES Committees of Visitors BER Committees of Visitors FES Committees of Visitors HEP Committees of Visitors NP Committees of Visitors WDTS Committees of Visitors Contact Information Deputy Director for Science Programs U.S. Department of Energy SC-2/Forrestal Building 1000 Independence Ave., SW Washington, DC 20585 P: (202) 586-5430 F: (202) 586-4120 E: sc.science@science.doe.gov U.S. Department of Energy SC-2/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-5316 F: (301) 903-7780 E: sc.science@science.doe.gov

162

Energy Sciences Network (ESnet) | U.S. DOE Office of Science...  

Office of Science (SC) Website

for Teachers and Scientists Small Business Innovation Research and Small Business Technology Transfer Project Assessment Laboratories Ames Laboratory Argonne National...

163

R&E Networks Debugging End-to-End International Case Study on FNAL to DESY Throughput Issue  

E-Print Network (OSTI)

(revised 3/20/2007) William E. Johnston ESnet Department Head and Senior Scientist Lawrence Berkeley National Laboratory wej@es.net, www.es.net #12;2 DOE Office of Science and ESnet ­ the ESnet Mission · "The Secretary for Science, US Dept. of Energy) #12;3 DOE Office of Science and ESnet ­ the ESnet Mission · ESnet

164

Office of the Chief Financial Officer Annual Report 2007  

E-Print Network (OSTI)

accounts such as ALS and ESnet. DOE Operating Costs DOEaccounts such as ALS and ESnet. DOE Operating Costs DOEEnergy Sciences Network (ESnet), and computer hard- ware,

Fernandez, Jeffrey

2008-01-01T23:59:59.000Z

165

Laboratory Directed Research and Development Program FY 2007  

E-Print Network (OSTI)

computational steering, etc. ESnet is establishing a sciencevirtual overlays on the physical ESnet network, and thepath selection based on ESNet data from the OSCARS project.

editor, Todd C Hansen,

2008-01-01T23:59:59.000Z

166

National facility for advanced computational science: A sustainable path to scientific discovery  

E-Print Network (OSTI)

Energy Sciences Network, or ESnet, is a high-speed networkreliable connections, ESnet enables researchers at nationaloperated by Berkeley Lab, ESnet provides direct connections

2004-01-01T23:59:59.000Z

167

NERSC Annual Report 2005  

E-Print Network (OSTI)

Simulator ( Japan) ESnet . . . . Energy Sciences Network (the Computer, Operations and ESnet Support Group, the MassComputer Operations & ESnet Support FRANCESCA VERDIER (

Hules Ed., John

2006-01-01T23:59:59.000Z

168

Kerberos authentication: The security answer for unsecured networks  

Science Conference Proceedings (OSTI)

Traditional authentication schemes do not properly address the problems encountered with today`s unsecured networks. Kerbmm developed by MIT, on the other hand is designed to operate in an open unsecured network, yet provide good authentication and security including encrypted session traffic. Basic Kerberos principles as well as experiences of the ESnet Authentication Pilot Project with Cross Realm. Authentication between four National Laboratories will also be described.

Engert, D.E.

1995-06-01T23:59:59.000Z

169

"On-demand Overlay Networks for Large Scientific Data Transfers"  

E-Print Network (OSTI)

to be moved At a recent ESnet 1 Workshop in 2007[1], DOEgathering data from ALS X-ray ESnet. detector experiments.data set is produced per ESnet is a multi-10Gbps backbone

Ramakrishnan, Lavanya

2013-01-01T23:59:59.000Z

170

Nuclear Physics Science Network Requirements Workshop, May 2008 - Final Report  

E-Print Network (OSTI)

MD May 6 and 7, 2008 ESnet is funded by the US DepartmentASCR) program. Vince Dattoria is the ESnet Program Manager.ESnet is operated by Lawrence Berkeley National Laboratory,

Tierney, Ed., Brian L

2008-01-01T23:59:59.000Z

171

BER Science Network Requirements Workshop -- July 26-27, 2007  

E-Print Network (OSTI)

MD July 26 and 27, 2007 ESnet is funded by the US Dept. ofASCR) program. Dan Hitchcock is the ESnet Program Manager.ESnet is operated by Lawrence Berkeley National Laboratory,

Tierney, Brian L.; Dart, Eli

2008-01-01T23:59:59.000Z

172

MNEMONIC: A Network Environment for Automatic Optimization and Tuning of Data  

E-Print Network (OSTI)

1 ESnet Update Winter 2008 Joint Techs Workshop Joe Burrescia ESnet General Manager January 21 (TANet2) Singaren ESnet IP core: Packet over SONET Optical Ring and Hubs ELP commercial peering points MAE-E PAIX-PA Equinix, etc. PNWGPoP/PAcificWave ESnet 3 with Sites and Peers (Early 2007) ESnet core

Taufer, Michela

173

A privilege management system for a secure network  

Science Conference Proceedings (OSTI)

Modern research projects may involve dozens of geographically distributed collaborators who access distributed information, applications workstations and devices. We are developing an architecture and methods for distributed, decentralized privilege ... Keywords: CEBAF, Chinese Institute of High Energy Physics, Continuous Electron Beam Accelerator Facility, DICCE project, Distributed Informatics Computing and Collaborative Environments project, ESnet, Internet, Old Dominion University, US Department of Energy's Energy Science Network, World Wide Web based interfaces, X-windows, authentication, authorisation, authorization, computer network management, design, distributed computing environment networks, distributed information, implementation, network interfaces, privilege management system, secure network

K. J. Maly; A. Gupta; B. Kvande; I. B. Levinstein; R. Mukkamala; M. Olson; R. Whitney; R. Chambers

1996-06-01T23:59:59.000Z

174

BER Science Network Requirements Workshop -- July 26-27,2007  

Science Conference Proceedings (OSTI)

The Energy Sciences Network (ESnet) is the primary provider of network connectivity for the US Department of Energy Office of Science, the single largest supporter of basic research in the physical sciences in the United States of America. In support of the Office of Science programs, ESnet regularly updates and refreshes its understanding of the networking requirements of the instruments, facilities, scientists, and science programs that it serves. This focus has helped ESnet to be a highly successful enabler of scientific discovery for over 20 years. In July 2007, ESnet and the Biological and Environmental Research (BER) Program Office of the DOE Office of Science organized a workshop to characterize the networking requirements of the science programs funded by the BER Program Office. These included several large programs and facilities, including Atmospheric Radiation Measurement (ARM) Program and the ARM Climate Research Facility (ACRF), Bioinformatics and Life Sciences Programs, Climate Sciences Programs, the Environmental Molecular Sciences Laboratory at PNNL, the Joint Genome Institute (JGI). National Center for Atmospheric Research (NCAR) also participated in the workshop and contributed a section to this report due to the fact that a large distributed data repository for climate data will be established at NERSC, ORNL and NCAR, and this will have an effect on ESnet. Workshop participants were asked to codify their requirements in a 'case study' format, which summarizes the instruments and facilities necessary for the science and the process by which the science is done, with emphasis on the network services needed and the way in which the network is used. Participants were asked to consider three time scales in their case studies--the near term (immediately and up to 12 months in the future), the medium term (3-5 years in the future), and the long term (greater than 5 years in the future). In addition to achieving its goal of collecting and characterizing the network requirements of the science endeavors funded by the BER Program Office, the workshop emphasized some additional points. These included the need for a future ESnet presence in the Denver area, a desire for ESnet to continue support of collaboration services, and the need for ESnet to support dedicated bandwidth or 'virtual circuit' services. In addition, it is clear that the BER facilities are going to experience significant growth in data production over the next 5 years. The reasons for this vary (model resolution and supercomputer allocations for climate, detector upgrades for EMSL and ARM, sequencing hardware upgrades for JGI), but all indicators point to significant growth in data volumes over the near to medium term. This growth in data volume, combined with the ever-expanding scope of scientific collaboration, will continue to demand ever-increasing bandwidth, reliability and service richness from the networks that support DOE science.

Tierney, Brian L.; Dart, Eli

2008-02-01T23:59:59.000Z

175

How Are We Doing? A Self-Assessment of the Quality of Services and Systems at NERSC, 2005-2006  

E-Print Network (OSTI)

universities provided by ESnet. Most of the low-level dataclusters, the upgrade of ESnets connectivity to NERSC to 10Storage System (HPSS), and ESnet networks by two independent

Kramer, William T.C.; Hules, John

2007-01-01T23:59:59.000Z

176

The Evolution of Research and Education Networks and their Essential Role in Modern Science  

E-Print Network (OSTI)

Also available at http://www.es.net/pub/esnet-doc/index.htmlMichael P. O'Connor. Steve Cotter is now the head of ESnet.ESnet is funded by the US Dept. of Energy, Office of

Chaniotakis, E.

2010-01-01T23:59:59.000Z

177

A New Approach in Advance Network Reservation and Provisioning for High-Performance Scientific Data Transfers  

Science Conference Proceedings (OSTI)

Scientific applications already generate many terabytes and even petabytes of data from supercomputer runs and large-scale experiments. The need for transferring data chunks of ever-increasing sizes through the network shows no sign of abating. Hence, we need high-bandwidth high speed networks such as ESnet (Energy Sciences Network). Network reservation systems, i.e. ESnet's OSCARS (On-demand Secure Circuits and Advance Reservation System) establish guaranteed bandwidth of secure virtual circuits at a certain time, for a certain bandwidth and length of time. OSCARS checks network availability and capacity for the specified period of time, and allocates requested bandwidth for that user if it is available. If the requested reservation cannot be granted, no further suggestion is returned back to the user. Further, there is no possibility from the users view-point to make an optimal choice. We report a new algorithm, where the user specifies the total volume that needs to be transferred, a maximum bandwidth that he/she can use, and a desired time period within which the transfer should be done. The algorithm can find alternate allocation possibilities, including earliest time for completion, or shortest transfer duration - leaving the choice to the user. We present a novel approach for path finding in time-dependent networks, and a new polynomial algorithm to find possible reservation options according to given constraints. We have implemented our algorithm for testing and incorporation into a future version of ESnet?s OSCARS. Our approach provides a basis for provisioning end-to-end high performance data transfers over storage and network resources.

Balman, Mehmet; Chaniotakis, Evangelos; Shoshani, Arie; Sim, Alex

2010-01-28T23:59:59.000Z

178

Networking for the Future of Science IPv6 Best Practices  

E-Print Network (OSTI)

of Science ESnet Site Coordinators Committee July 24, 2008 #12;2 Overview · Addressing · Implementation Address space ·From ESnet ­ We have address space ready to assign ­ Only for traffic routed by ESnet... An addressing plan · Many approaches available · Assignments from ARIN or ESnet are /48s ­"Official" minimum

179

The Computational Materials and Chemical Sciences Network (CMCSN) | U.S.  

Office of Science (SC) Website

The Computational Materials and Chemical Sciences Network (CMCSN) The Computational Materials and Chemical Sciences Network (CMCSN) Materials Sciences and Engineering (MSE) Division MSE Home About Research Areas Energy Frontier Research Centers (EFRCs) DOE Energy Innovation Hubs BES Funding Opportunities The Computational Materials and Chemical Sciences Network (CMCSN) Theoretical Condensed Matter Physics Scientific Highlights Reports and Activities Principal Investigators' Meetings BES Home Research Areas The Computational Materials and Chemical Sciences Network (CMCSN) Print Text Size: A A A RSS Feeds FeedbackShare Page The U.S. Department of Energy, Office of Basic Energy Sciences, provides support for Computational Materials and Chemical Sciences Network (CMCSN) projects through the Theoretical Condensed Matter Physics & Theoretical

180

Effects of edge plasma turbulence on radial correlation length measurements with BES  

Science Conference Proceedings (OSTI)

The recently developed technique of beam emission spectroscopy (BES) provides a tool to study long-wavelength density turbulence (coherence length {much gt} ion gyroradius) in hot tokamak plasmas. To provide an accurate conversion of the measured light intensity fluctuations to a local {ital {tilde n}}/{ital n} density fluctuation and to assess the influence of density fluctuations in the neutral beam induced by large edge turbulence, a multistate neutral beam excitation/transport code for realistic experimental geometries has been written. Results from this code show that the attenuation of the beam density induced by edge turbulence can give rise to significant levels of common-mode fluctuation power in signals from the plasma core and that the derivation of quantitative values of {ital {tilde n}}/{ital n} from experimental measurements depends weakly on the radial extent of the density fluctuations.

Gianakon, T.A.; Fonck, R.J.; Callen, J.D.; Durst, R.D.; Kim, J.S. (Department of Nuclear Engineering and Engineering Physics, University of Wisconsin-Madison, Madison, Wisconsin 53706 (United States)); Paul, S.F. (Princeton Plasma Physics Laboratory, Princeton University, Princeton, New Jersey 08543 (United States))

1992-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "network esnet bes" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

Supporting Advanced Scientific Computing Research Basic Energy Sciences Biological  

E-Print Network (OSTI)

1 Networking for the Future of Science ESnet Status Update William E. Johnston ESnet Department Head and Senior Scientist wej@es.net, www.es.net This talk is available at www.es.net/ESnet4 Energy, 2008 (Aloha!) #12;2 DOE Office of Science and ESnet ­ the ESnet Mission · ESnet's primary mission

182

July 31, 2008 1 Statement of Dr. Christopher L. Greer  

E-Print Network (OSTI)

1 Networking for the Future of Science ESnet Status Update William E. Johnston ESnet Department Head and Senior Scientist wej@es.net, www.es.net This talk is available at www.es.net/ESnet4 Energy, 2007 #12;2 DOE Office of Science and ESnet ­ the ESnet Mission · ESnet's primary mission is to enable

Rajkumar, Ragunathan

183

NERSC/DOE HEP Requirements Workshop Reference Materials  

NLE Websites -- All DOE Office Websites (Extended Search)

(BER) Basic Energy Sciences (BES) Fusion Energy Sciences (FES) Advanced Scientific Computing Research (ASCR) High Energy Physics (HEP) Final Workshop Reports Past ESnet...

184

NERSC/DOE FES Requirements Workshop Reference Materials  

NLE Websites -- All DOE Office Websites (Extended Search)

(BER) Basic Energy Sciences (BES) Fusion Energy Sciences (FES) Advanced Scientific Computing Research (ASCR) High Energy Physics (HEP) Final Workshop Reports Past ESnet...

185

Energy-Efficient Networks  

NLE Websites -- All DOE Office Websites (Extended Search)

Architecting and Operating Architecting and Operating Energy-Efficient Networks Inder Monga (ESnet) With input from Dan Kilper, Thierry Klein (Bell Labs) Vijay Sivaraman (UNSW, Australia) Jaafar Elmirghani (University of Leeds, UK) § Global research consortium representing industry, government and academic organizations § Launched in May 2010 § Focus on sustainability and growth § Holistic and ambitious: Goal of 1000x § 57 member organizations § 300+ leading scientists § Recognized by the World Economic Forum as an industry-led best practice toward sustainability DELIVER ARCHITECTURE, SPECIFICATIONS AND SOLUTIONS AND DEMONSTRATE KEY TECHNOLOGIES TO INCREASE NETWORK ENERGY EFFICIENCY BY A FACTOR 1000 COMPARED TO 2010 GREENTOUCH(tm) (www.greentouch.org)

186

NP Science Network Requirements  

E-Print Network (OSTI)

current budget and service projections. Findings Specific tos budget and service projections. ESnet will continue itspower being used. Projections for future years, when the

Dart, Eli

2013-01-01T23:59:59.000Z

187

Using Graphite to view network data  

NLE Websites -- All DOE Office Websites (Extended Search)

Graphite Graphite to Visualize Network Data Jon Dugan Summer ESCC 2010, Columbus, OH Lawrence Berkeley National Laboratory U.S. Department of Energy | Office of Science ESnet Statistics Overview ESxSNMP (Data Collection) ESxSNMP (Data Collection) Graphite (Visualization) Graphite (Visualization) Analytics (Custom Reports) Analytics (Custom Reports) Net Almanac (Metadata) Net Almanac (Metadata) Lawrence Berkeley National Laboratory U.S. Department of Energy | Office of Science What is Graphite? "Enterprise scalable realtime graphing" * Developed by Orbitz for visualizing internal performance data * Open source: https://launchpad.net/graphite * Has own RRD like database called Carbon * RRD Compatible ESxSNMP Integration * via REST interface * Easy integration, Graphite is well written

188

Network  

NLE Websites -- All DOE Office Websites (Extended Search)

network - launched in November 2012. The network was built in collaboration with Internet2, an advanced network, which connects the nation's research universities. Leveraging...

189

Nuclear Physics Science Network Requirements Workshop, May 2008 - Final Report  

Science Conference Proceedings (OSTI)

The Energy Sciences Network (ESnet) is the primary provider of network connectivity for the US Department of Energy Office of Science, the single largest supporter of basic research in the physical sciences in the United States of America. In support of the Office of Science programs, ESnet regularly updates and refreshes its understanding of the networking requirements of the instruments, facilities, scientists, and science programs that it serves. This focus has helped ESnet to be a highly successful enabler of scientific discovery for over 20 years. In May 2008, ESnet and the Nuclear Physics (NP) Program Office of the DOE Office of Science organized a workshop to characterize the networking requirements of the science programs funded by the NP Program Office. Most of the key DOE sites for NP related work will require significant increases in network bandwidth in the 5 year time frame. This includes roughly 40 Gbps for BNL, and 20 Gbps for NERSC. Total transatlantic requirements are on the order of 40 Gbps, and transpacific requirements are on the order of 30 Gbps. Other key sites are Vanderbilt University and MIT, which will need on the order of 20 Gbps bandwidth to support data transfers for the CMS Heavy Ion program. In addition to bandwidth requirements, the workshop emphasized several points in regard to science process and collaboration. One key point is the heavy reliance on Grid tools and infrastructure (both PKI and tools such as GridFTP) by the NP community. The reliance on Grid software is expected to increase in the future. Therefore, continued development and support of Grid software is very important to the NP science community. Another key finding is that scientific productivity is greatly enhanced by easy researcher-local access to instrument data. This is driving the creation of distributed repositories for instrument data at collaborating institutions, along with a corresponding increase in demand for network-based data transfers and the tools to manage those transfers effectively. Network reliability is also becoming more important as there is often a narrow window between data collection and data archiving when transfer and analysis can be done. The instruments do not stop producing data, so extended network outages can result in data loss due to analysis pipeline stalls. Finally, as the scope of collaboration continues to increase, collaboration tools such as audio and video conferencing are becoming ever more critical to the productivity of scientific collaborations.

Tierney, Ed., Brian L; Dart, Ed., Eli; Carlson, Rich; Dattoria, Vince; Ernest, Michael; Hitchcock, Daniel; Johnston, William; Kowalski, Andy; Lauret, Jerome; Maguire, Charles; Olson, Douglas; Purschke, Martin; Rai, Gulshan; Watson, Chip; Vale, Carla

2008-11-10T23:59:59.000Z

190

FES Science Network Requirements - Report of the Fusion Energy Sciences Network Requirements Workshop Conducted March 13 and 14, 2008  

Science Conference Proceedings (OSTI)

The Energy Sciences Network (ESnet) is the primary provider of network connectivity for the U.S. Department of Energy Office of Science, the single largest supporter of basic research in the physical sciences in the United States of America. In support of the Office of Science programs, ESnet regularly updates and refreshes its understanding of the networking requirements of the instruments, facilities, scientists, and science programs that it serves. This focus has helped ESnet to be a highly successful enabler of scientific discovery for over 20 years. In March 2008, ESnet and the Fusion Energy Sciences (FES) Program Office of the DOE Office of Science organized a workshop to characterize the networking requirements of the science programs funded by the FES Program Office. Most sites that conduct data-intensive activities (the Tokamaks at GA and MIT, the supercomputer centers at NERSC and ORNL) show a need for on the order of 10 Gbps of network bandwidth for FES-related work within 5 years. PPPL reported a need for 8 times that (80 Gbps) in that time frame. Estimates for the 5-10 year time period are up to 160 Mbps for large simulations. Bandwidth requirements for ITER range from 10 to 80 Gbps. In terms of science process and collaboration structure, it is clear that the proposed Fusion Simulation Project (FSP) has the potential to significantly impact the data movement patterns and therefore the network requirements for U.S. fusion science. As the FSP is defined over the next two years, these changes will become clearer. Also, there is a clear and present unmet need for better network connectivity between U.S. FES sites and two Asian fusion experiments--the EAST Tokamak in China and the KSTAR Tokamak in South Korea. In addition to achieving its goal of collecting and characterizing the network requirements of the science endeavors funded by the FES Program Office, the workshop emphasized that there is a need for research into better ways of conducting remote collaboration with the control room of a Tokamak running an experiment. This is especially important since the current plans for ITER assume that this problem will be solved.

Tierney, Brian; Dart, Eli; Tierney, Brian

2008-07-10T23:59:59.000Z

191

Microsoft Word - The_Advanced_Networks_and_Services_Underpinning_Modern,Large-Scale_Science.SciDAC.v5.doc  

NLE Websites -- All DOE Office Websites (Extended Search)

: Advanced Networking and Services : Advanced Networking and Services Supporting the Science Mission of DOE's Office of Science William E. Johnston ESnet Dept. Head and Senior Scientist Lawrence Berkeley National Laboratory May, 2007 1 Introduction In many ways, the dramatic achievements in scientific discovery through advanced computing and the discoveries of the increasingly large-scale instruments with their enormous data handling and remote collaboration requirements, have been made possible by accompanying accomplishments in high performance networking. As increasingly advanced supercomputers and experimental research facilities have provided researchers powerful tools with unprecedented capabilities, advancements in networks connecting scientists to these tools have made these research facilities available to broader communities

192

ESnet Site List  

NLE Websites -- All DOE Office Websites (Extended Search)

CA) JLAB Thomas Jefferson National Accelerator Facility (Newport News, VA) KCP Kansas City Plant (Kansas City, MO) KCP-ALBQ Kansas City Plant (Albuquerque, NM) LANL Los Alamos...

193

Network Communication as a Service-Oriented Capability  

E-Print Network (OSTI)

10] Planning Workshops-Office of Science Data-Managementmission of DOEs Office of Science (SC). ESnet must provideESnet reflect the scope of Office of Science collaborations.

Johnston, William

2008-01-01T23:59:59.000Z

194

Query-Driven Visualization Accelerates Scientific Insight  

E-Print Network (OSTI)

/on at ESnet R. Kevin Oberman Sr. Network Engineer February 2, 2010 #12;Why ESnet is Signing · While not covered by the OMB mandate, ESnet supports several organizations which are required to sign · ESnet needs experience with DNSSEC to support these organizations effectively · Future mandates may cover ESnet #12;How

195

192 The Open Atmospheric Science Journal, 2008, 2, 192-216 1874-2823/08 2008 Bentham Open  

E-Print Network (OSTI)

and Environmental Research · Fusion Energy Sciences · High Energy Physics · Nuclear Physics ESnet Network Measurements Joe Metzger Presented at ESCC Feb 5 2008 #12;Outline · ESnet ­Goals · Provide Services to ESnet Activities · ESnet Sites ­Participation ­Deployment ­Next Steps #12;Providing Services to ESnet Users

196

UNIVERSITE PARIS XI UFR SCIENTIFIQUE D'ORSAY  

E-Print Network (OSTI)

/on at ESnet R. Kevin Oberman Sr. Network Engineer February 2, 2010 #12;Why ESnet is Signing · While not covered by the OMB mandate, ESnet supports several organizations which are required to sign · ESnet needs experience with DNSSEC to support these organizations effectively · Future mandates may cover ESnet #12;How

Paris-Sud XI, Université de

197

Laboratory Directed Research and Development Program  

E-Print Network (OSTI)

and Environmental Research · Fusion Energy Sciences · High Energy Physics · Nuclear Physics ESnet Network Measurements Joe Metzger Presented at ESCC Feb 5 2008 #12;Outline · ESnet ­Goals · Provide Services to ESnet Activities · ESnet Sites ­Participation ­Deployment ­Next Steps #12;Providing Services to ESnet Users

198

Improving the bulk data transfer experience  

E-Print Network (OSTI)

several other DOE Offices. Esnet is also a tier 1 ISP withnotes: Chin Guok joined ESnet in 1997 as a Network Engineer,investigator of the ESnet On- demand Secure Circuit and

Guok, Chin

2008-01-01T23:59:59.000Z

199

Science DMZ Implemented at NERSC  

NLE Websites -- All DOE Office Websites (Extended Search)

ESnet Overview ESnet Staff Governance Our Network Case Studies OSCARS Case Studies Science DMZ Case Studies Science DMZ CU Science DMZ Penn State & VTTI Science DMZ NOAA...

200

Science DMZ  

NLE Websites -- All DOE Office Websites (Extended Search)

ESnet Overview ESnet Staff Governance Our Network Case Studies OSCARS Case Studies Science DMZ Case Studies Science DMZ CU Science DMZ Penn State & VTTI Science DMZ NOAA...

Note: This page contains sample records for the topic "network esnet bes" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

Science DMZ for Pennsylvania State University & Virginia Tech...  

NLE Websites -- All DOE Office Websites (Extended Search)

ESnet Overview ESnet Staff Governance Our Network Case Studies OSCARS Case Studies Science DMZ Case Studies Science DMZ CU Science DMZ Penn State & VTTI Science DMZ NOAA...

202

Phoebus: Network Middleware for Next-Generation Network Computing  

SciTech Connect

The Phoebus project investigated algorithms, protocols, and middleware infrastructure to improve end-to-end performance in high speed, dynamic networks. The Phoebus system essentially serves as an adaptation point for networks with disparate capabilities or provisioning. This adaptation can take a variety of forms including acting as a provisioning agent across multiple signaling domains, providing transport protocol adaptation points, and mapping between distributed resource reservation paradigms and the optical network control plane. We have successfully developed the system and demonstrated benefits. The Phoebus system was deployed in Internet2 and in ESnet, as well as in GEANT2, RNP in Brazil and over international links to Korea and Japan. Phoebus is a system that implements a new protocol and associated forwarding infrastructure for improving throughput in high-speed dynamic networks. It was developed to serve the needs of large DOE applications on high-performance networks. The idea underlying the Phoebus model is to embed Phoebus Gateways (PGs) in the network as on-ramps to dynamic circuit networks. The gateways act as protocol translators that allow legacy applications to use dedicated paths with high performance.

Martin Swany

2012-06-16T23:59:59.000Z

203

DOE/NSF HIGH-ENERGY PHYSICS ADVISORY PANEL  

E-Print Network (OSTI)

, Brian TIERNEY ESnet, Lawrence Berkeley National Laboratory Abstract. ESnet ­ the Energy Sciences researchers. The network requirements of this community have been explored in some detail by ESnet and a long. Energy Sciences Network (ESnet), networks for large-scale science, network planning. 1. Background The US

204

Advanced Scientific Computing Research User Facilities | U.S. DOE Office of  

Office of Science (SC) Website

ASCR User Facilities ASCR User Facilities User Facilities ASCR User Facilities BES User Facilities BER User Facilities FES User Facilities HEP User Facilities NP User Facilities User Facilities Frequently Asked Questions User Facility Science Highlights Contact Information Office of Science U.S. Department of Energy 1000 Independence Ave., SW Washington, DC 20585 P: (202) 586-5430 ASCR User Facilities Print Text Size: A A A RSS Feeds FeedbackShare Page The Advanced Scientific Computing Research program supports the operation of the following national scientific user facilities: Energy Sciences Network (ESnet): External link The Energy Sciences Network, or ESnet External link , is the Department of Energy's high-speed network that provides the high-bandwidth, reliable connections that link scientists at national laboratories, universities and

205

BER Science Network Requirements  

E-Print Network (OSTI)

the two Magellan systems at ALCF and NERSC, we will providean INCITE allocation at the ALCF, there will be significantdata flows from the ALCF to NOAA storage systems. ESnet and

Dart, Eli

2011-01-01T23:59:59.000Z

206

A Flexible Reservation Algorithm for Advance Network Provisioning  

SciTech Connect

Many scientific applications need support from a communication infrastructure that provides predictable performance, which requires effective algorithms for bandwidth reservations. Network reservation systems such as ESnet's OSCARS, establish guaranteed bandwidth of secure virtual circuits for a certain bandwidth and length of time. However, users currently cannot inquire about bandwidth availability, nor have alternative suggestions when reservation requests fail. In general, the number of reservation options is exponential with the number of nodes n, and current reservation commitments. We present a novel approach for path finding in time-dependent networks taking advantage of user-provided parameters of total volume and time constraints, which produces options for earliest completion and shortest duration. The theoretical complexity is only O(n2r2) in the worst-case, where r is the number of reservations in the desired time interval. We have implemented our algorithm and developed efficient methodologies for incorporation into network reservation frameworks. Performance measurements confirm the theoretical predictions.

Balman, Mehmet; Chaniotakis, Evangelos; Shoshani, Arie; Sim, Alex

2010-04-12T23:59:59.000Z

207

DOE Launches First Segment of its Next-Generation Nationwide Network to  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

First Segment of its Next-Generation Nationwide First Segment of its Next-Generation Nationwide Network to Support Scientific Research Efforts DOE Launches First Segment of its Next-Generation Nationwide Network to Support Scientific Research Efforts May 30, 2007 - 1:24pm Addthis WASHINGTON, DC- The U.S. Department of Energy's (DOE) Office of Science and Internet2 announced today that the first segment of a next-generation, nationwide network has gone live, marking a key step in significantly upgrading networking services to thousands of scientific researchers across the country and around the world. The first complete national ring of DOE's Energy Sciences Network (ESnet4) will be rolled out segment by segment from the east coast to the west coast and is expected to be fully operational by September, 2007.

208

Supporting Advanced Scientific Computing Research Basic Energy Sciences Biological  

E-Print Network (OSTI)

, Large-Scale Science: DOE's ESnet William E. Johnston ESnet Manager and Senior Scientist, DOE Lawrence approach and architecture for DOE's Energy Sciences Network (ESnet), which is the network that serves all community. 1 ESnet's Role in the DOE Office of Science "The Office of Science of the US Dept. of Energy

209

This paper is adapted from a chapter in: L. Grandinetti (ed.), "Grid Computing and New Frontiers of High Performance Processing." Elsevier, 2005.  

E-Print Network (OSTI)

, Large-Scale Science: DOE's ESnet William E. Johnston ESnet Manager and Senior Scientist, DOE Lawrence approach and architecture for DOE's Energy Sciences Network (ESnet), which is the network that serves all community. 1 ESnet's Role in the DOE Office of Science "The Office of Science of the US Dept. of Energy

210

Virtual Reality Cave Next Generation  

E-Print Network (OSTI)

1 ESnet Network Measurement Current Status Joe Metzger Jan 24th 2008 ESCC meeting Energy Sciences ­ Regular scheduled bandwidth testing · Internal to ESnet IP & SDN Network · External to important peers, and ESnet sites that are interested ­ Dynamic end-user testing via · perfSONAR · ESnet Performance Center

211

Spamalytics: An Empirical Analysis of Spam Marketing Conversion  

E-Print Network (OSTI)

1 ESnet Network Measurement Current Status Joe Metzger Jan 24th 2008 ESCC meeting Energy Sciences ­ Regular scheduled bandwidth testing · Internal to ESnet IP & SDN Network · External to important peers, and ESnet sites that are interested ­ Dynamic end-user testing via · perfSONAR · ESnet Performance Center

212

Data Management and Its Role in Delivering Science at DOE BES User Facilities Past, Present, and Future  

Science Conference Proceedings (OSTI)

Abstract. The primary mission of user facilities operated by Basic Energy Sciences under the Department of Energy is to produce data for users in support of open science and basic research [1]. We trace back almost 30 years of history across selected user facilities illustrating the evolution of facility data management practices and how these practices have related to performing scientific research. The facilities cover multiple techniques such as X-ray and neutron scattering, imaging and tomography sciences. Over time, detector and data acquisition technologies have dramatically increased the ability to produce prolific volumes of data challenging the traditional paradigm of users taking data home upon completion of their experiments to process and publish their results. During this time, computing capacity has also increased dramatically, though the size of the data has grown significantly faster than the capacity of one s laptop to manage and process this new facility produced data. Trends indicate that this will continue to be the case for yet some time. Thus users face a quandary for how to manage today s data complexity and size as these may exceed the computing resources users have available to themselves. This same quandary can also stifle collaboration and sharing. Realizing this, some facilities are already providing web portal access to data and computing thereby providing users access to resources they need [2]. Portal based computing is now driving researchers to think about how to use the data collected at multiple facilities in an integrated way to perform their research, and also how to collaborate and share data. In the future, inter-facility data management systems will enable next tier cross-instrument-cross facility scientific research fuelled by smart applications residing upon user computer resources. We can learn from the medical imaging community that has been working since the early 1990 s to integrate data from across multiple modalities to achieve better diagnoses [3] similarly, data fusion across BES facilities will lead to new scientific discoveries.

Miller, Stephen D [ORNL; Herwig, Kenneth W [ORNL; Ren, Shelly [ORNL; Vazhkudai, Sudharshan S [ORNL

2009-01-01T23:59:59.000Z

213

LHCNet: Wide Area Networking and Collaborative Systems for HEP  

SciTech Connect

This proposal presents the status and progress in 2006-7, and the technical and financial plans for 2008-2010 for the US LHCNet transatlantic network supporting U.S. participation in the LHC physics program. US LHCNet provides transatlantic connections of the Tier1 computing facilities at Fermilab and Brookhaven with the Tier0 and Tier1 facilities at CERN as well as Tier1s elsewhere in Europe and Asia. Together with ESnet, Internet2, the GEANT pan-European network, and NSFs UltraLight project, US LHCNet also supports connections between the Tier2 centers (where most of the analysis of the data will take place, starting this year) and the Tier1s as needed.See report

Newman, H.B,

2007-08-20T23:59:59.000Z

214

ESCC Evening Discussion: High Performance Data Transfer Eli Dart, Network Engineer  

NLE Websites -- All DOE Office Websites (Extended Search)

ESCC Evening Discussion: ESCC Evening Discussion: High Performance Data Transfer Eli Dart, Network Engineer ESnet Network Engineering Group Summer ESCC/Joint Techs Columbus, OH July 14, 2010 Lawrence Berkeley National Laboratory U.S. Department of Energy | Office of Science High Performance Data Transfer * This is a broad topic with several components * Last discussion - perfSONAR * Tonight's discussion - possible next steps to increase the performance achieved by scientists in their use of the network - What is "the network" from a user's perspective? - Deployment of dedicated systems - Need for cooperation - Do the easy stuff first 7/13/10 2 Lawrence Berkeley National Laboratory U.S. Department of Energy | Office of Science Data Transfer Is A Tractable Problem

215

Large Scale Computing Requirements for Basic Energy Sciences (An BES / ASCR / NERSC Workshop) Hilton Washington DC/Rockville Meeting Center, Rockville MD 3D Geophysical Imaging  

NLE Websites -- All DOE Office Websites (Extended Search)

Requirements Requirements for Basic Energy Sciences (An BES / ASCR / NERSC Workshop) Hilton Washington DC/Rockville Meeting Center, Rockville MD 3D Geophysical Modeling and Imaging G. A. Newman Lawrence Berkeley National Laboratory February 9 - 10 , 2010 Talk Outline * SEAM Geophysical Modeling Project - Its Really Big! * Geophysical Imaging (Seismic & EM) - Its 10 to 100x Bigger! - Reverse Time Migration - Full Waveform Inversion - 3D Imaging & Large Scale Considerations - Offshore Brazil Imaging Example (EM Data Set) * Computational Bottlenecks * Computing Alternatives - GPU's & FPGA's - Issues Why ? So that the resource industry can tackle grand geophysical challenges (Subsalt imaging, land acquisition, 4-D, CO2, carbonates ......) SEAM Mission Advance the science and technology of applied

216

BES Open Funding Opportunities  

Office of Science (SC) Website

- and is the principal federal funding agency of - the Nation's research programs in high-energy physics, nuclear physics, and fusion energy sciences. en 6E0BF60A-A50B-4201-AC3E-A...

217

NERSC-BES.pptx  

NLE Websites -- All DOE Office Websites (Extended Search)

October 8 , 2 013 NERSC Overview --- 2 --- NERSC History 1974 Founded a t L ivermore t o s upport f usion research w ith a C DC s ystem 1978 Cray 1 i nstalled 1983 Expanded t o s...

218

BES Science Highlights  

Office of Science (SC) Website

Finding Hidden Oil and Gas Reserves

219

NERSC BES Review Presentations  

NLE Websites -- All DOE Office Websites (Extended Search)

LBNL | Download File: Newman.pdf | pdf | 4.4 MB Computational Studies in Molecular Geochemistry Author(s): Andrew Felmy, PNNL | Download File: Felmy.pdf | pdf | 7.1 MB Direct...

220

NERSC BES Review Presentations  

NLE Websites -- All DOE Office Websites (Extended Search)

ORNL | Download File: KENT.pdf | pdf | 5.3 MB Computational Studies in Molecular Geochemistry Author(s): Andrew Felmy, PNNL | Download File: Felmy.pdf | pdf | 7.1 MB Computing...

Note: This page contains sample records for the topic "network esnet bes" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

GQ: Practical Containment for Measuring Modern Malware Systems  

E-Print Network (OSTI)

Virtual Circuits Landscape Summer 2010 ESCC Meeting Columbus, OH Evangelos Chaniotakis, ESnet and managing them via network automation tools ESnet wants to help the sites: · Understand not only SDN of Energy | Office of Science Parenthesis: OSCARS: an ESnet Production Service · 50% of all ESnet traffic

222

Procedures and guidelines for the Policy Management Authority  

E-Print Network (OSTI)

and Environmental Research · Fusion Energy Sciences · High Energy Physics · Nuclear Physics Joe Burrescia ESnet;· A description of each ESnet service ­ Example: · Service: Network Layer Connectivity ­ Description: ESnet ­ Availability: ESnet strives for 99.9% availability, and most often exceeds by a wide margin What is it? #12

223

SDN and OSCARS Evangelos Chaniotakis  

E-Print Network (OSTI)

-Scale Science: An ESnet Perspective William E. Johnston ESnet Department Head and Senior Scientist wej@es.net, www.es.net This talk is available at www.es.net/ESnet4 Energy Sciences Network Lawrence Berkeley for these complex problems · ESnet is an SC program whose primary mission is to enable the large- scale science

224

Detecting Distributed Scans Using High-Performance Query-Driven Visualization  

E-Print Network (OSTI)

and Environmental Research · Fusion Energy Sciences · High Energy Physics · Nuclear Physics Joe Burrescia ESnet;· A description of each ESnet service ­ Example: · Service: Network Layer Connectivity ­ Description: ESnet ­ Availability: ESnet strives for 99.9% availability, and most often exceeds by a wide margin What is it? #12

225

Tier-2 Networking Workshop PMG  

NLE Websites -- All DOE Office Websites (Extended Search)

for US CMS Tier-2 sites: Follow-up to October 2005 meeting at FNAL sponsored by ESNet and I2, attended by representatives from US CMS and US ATLAS T2 sites. Proposed by...

226

Visio-ESnetBackbone.vsd  

NLE Websites -- All DOE Office Websites (Extended Search)

by Mark Redman by Mark Redman Revised: Revised by John Paul Jones This Map is for DOE Business Use Only. Do Not Redistribute. For copies contact info@es.net US R&E International R&E Peering Commercial Commercial Peering International Peering OC12-Link(622Mb) NLR 10 GE Circuit Internet 2 10GE-SDN-Circuit Internet2 10GE-IP-Circuit 1GE-Link S D N 10GE-Link IP MAN SITE MAN 10 GE RING SITE OC48-Link(2.48Gb) OC3-Link(155Mb) FE-Link(100Mb) DS3-Link(45Mb) T1-Link(1.45Mb) Ether-Link(10Mb) R&E and International 10G Peering Connections R&E and International 1G Peering Connections PerfSonar enabled perfSONAR 8/3/2010 CANADA (CANARIE) CENIC/DREN/ INTERNET2/ LOS NETTOS/ NASA/NLR ASIA-PACIFIC (KAREN/KREONET2/NUS-GP/ ODN/REANNZ/SINET/TANET2/ TRANSPAC2) AUSTRALIA (AARnet) CENIC/INTERNET2/ LOS NETTOS/NASA ASIA-PACIFIC

227

Microsoft Word - The Essential Role of New Network Services for High Performance Distributed Computing - PARENG.CivilComp.2011.  

NLE Websites -- All DOE Office Websites (Extended Search)

International Conference on Parallel, Distributed, Grid and International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering 12-15 April 2011, Ajaccio - Corsica - France In "Trends in Parallel, Distributed, Grid and Cloud Computing for Engineering," Edited by: P. Iványi, B.H.V. Topping, Civil-Comp Press. Network Services for High Performance Distributed Computing and Data Management W. E. Johnston, C. Guok, J. Metzger, and B. Tierney ESnet and Lawrence Berkeley National Laboratory, Berkeley California, U.S.A Keywords: high performance distributed computing and data management, high throughput networks, network services, science use of networks Much of modern science is dependent on high performance distributed computing and data handling. This distributed infrastructure, in turn, depends on

228

Belle II Experiment Network and Computing  

E-Print Network (OSTI)

The Belle experiment, part of a broad-based search for new physics, is a collaboration of approximately 400 physicists from 55 institutions across four continents. The Belle detector is located at the KEKB accelerator in Tsukuba, Japan. The Belle detector was operated at the asymmetric electron-positron collider KEKB from 1999-2010. The detector accumulated more than 1/ab of integrated luminosity corresponding to more than 2 PB of data near 10 GeV center-of-mass energy. Recently, KEK has initiated a $400 million accelerator upgrade to be called SuperKEKB, designed to produce instantaneous and integrated luminosity two orders of magnitude greater than KEKB. The new international collaboration at SuperKEKB is called Belle II. The first data from Belle II/SuperKEKB is expected in 2015. In October 2012, senior members of the Belle II collaboration gathered at PNNL to discuss the computing and networking requirements of the Belle II experiment with ESnet staff and other computing and networking experts. The day-and-a-half-long workshop characterized the instruments and facilities used in the experiment, the process of science for Belle II, and the computing and networking equipment and configuration requirements to realize the full scientific potential of the collaboration's work. The requirements identified at the Belle II Experiment Requirements workshop are summarized in this report.

David M. Asner; Eli Dart; Takanori Hara

2013-08-03T23:59:59.000Z

229

Belle II Experiment Network and Computing  

E-Print Network (OSTI)

The Belle experiment, part of a broad-based search for new physics, is a collaboration of approximately 400 physicists from 55 institutions across four continents. The Belle detector is located at the KEKB accelerator in Tsukuba, Japan. The Belle detector was operated at the asymmetric electron-positron collider KEKB from 1999-2010. The detector accumulated more than 1/ab of integrated luminosity corresponding to more than 2 PB of data near 10 GeV center-of-mass energy. Recently, KEK has initiated a $400 million accelerator upgrade to be called SuperKEKB, designed to produce instantaneous and integrated luminosity two orders of magnitude greater than KEKB. The new international collaboration at SuperKEKB is called Belle II. The first data from Belle II/SuperKEKB is expected in 2015. In October 2012, senior members of the Belle II collaboration gathered at PNNL to discuss the computing and networking requirements of the Belle II experiment with ESnet staff and other computing and networking experts. The day-an...

Asner, David M; Hara, Takanori

2013-01-01T23:59:59.000Z

230

Network Communication as a Service-Oriented Capability  

Science Conference Proceedings (OSTI)

In widely distributed systems generally, and in science-oriented Grids in particular, software, CPU time, storage, etc., are treated as"services" -- they can be allocated and used with service guarantees that allows them to be integrated into systems that perform complex tasks. Network communication is currently not a service -- it is provided, in general, as a"best effort" capability with no guarantees and only statistical predictability. In order for Grids (and most types of systems with widely distributed components) to be successful in performing the sustained, complex tasks of large-scale science -- e.g., the multi-disciplinary simulation of next generation climate modeling and management and analysis of the petabytes of data that will come from the next generation of scientific instrument (which is very soon for the LHC at CERN) -- networks must provide communication capability that is service-oriented: That is it must be configurable, schedulable, predictable, and reliable. In order to accomplish this, the research and education network community is undertaking a strategy that involves changes in network architecture to support multiple classes of service; development and deployment of service-oriented communication services, and; monitoring and reporting in a form that is directly useful to the application-oriented system so that it may adapt to communications failures. In this paper we describe ESnet's approach to each of these -- an approach that is part of an international community effort to have intra-distributed system communication be based on a service-oriented capability.

Johnston, William; Johnston, William; Metzger, Joe; Collins, Michael; Burrescia, Joseph; Dart, Eli; Gagliardi, Jim; Guok, Chin; Oberman, Kevin; O'Conner, Mike

2008-01-08T23:59:59.000Z

231

Microsoft Word - Johnston.IOS.Network Communication as a Service-Oriented Capability.5.doc  

NLE Websites -- All DOE Office Websites (Extended Search)

Communication as a Service-Oriented Communication as a Service-Oriented Capability William JOHNSTON, Joe METZGER, Mike O'CONNOR, Michael COLLINS, Joseph BURRESCIA, Eli DART, Jim GAGLIARDI, Chin GUOK, and Kevin OBERMAN ESnet, Lawrence Berkeley National Laboratory Abstract. In widely distributed systems generally, and in science-oriented Grids in particular, software, CPU time, storage, etc., are treated as "services" - they can be allocated and used with service guarantees that allows them to be integrated into systems that perform complex tasks. Network communication is currently not a service - it is provided, in general, as a "best effort" capability with no guarantees and only statistical predictability. In order for Grids (and most types of systems with widely

232

Peering Information  

NLE Websites -- All DOE Office Websites (Extended Search)

Peering Information Network Overview Tools Peering Information Interactive Network Map Network Maps Connected Sites Contact Us Technical Assistance: 1 800-33-ESnet (Inside the US)...

233

Berkeley Lab Researchers Prepare U.S. Climate Community for 100...  

NLE Websites -- All DOE Office Websites (Extended Search)

Berkeley Lab. As Climate 100 tools are being developed, DOE's Energy Sciences Network (ESnet) will be building a prototype 100 Gbps network, the fastest network to date linking...

234

Eli Dart  

NLE Websites -- All DOE Office Websites (Extended Search)

Eli Dart Eli Dart About ESnet Overview ESnet Staff Administration Advanced Network Technologies Audio, Video, Data Collaboration (ECS) Infrastructure and Identity Network Engineering Office of the CTO Operations and Deployment Science Engagement Tools Team Governance Our Network Case Studies ESnet Strategic Plan ESnet Organizational Chart ESnet History Science Requirements Careers Contact Us Technical Assistance: 1 800-33-ESnet (Inside the US) 1 800-333-7638 (Inside the US) 1 510-486-7600 (Globally) 1 510-486-7607 (Globally) Report Network Problems: trouble@es.net Provide Web Site Feedback: info@es.net Eli Dart dart.png Eli Dart Network Engineer Network Engineering Services Group Dart@es.net Eli Dart is responsible for configuration and troubleshooting the ESnet's infrastructure, solving performance problems, and planning for future

235

OSCARS Roadmap Chin Guok (chin@es.net)  

E-Print Network (OSTI)

, Caltech, ESnet) working group (which involves many more organizaGons than approach (though the ESnet/Internet2 OSCARS code base is used by several organiza (OSCARS/DCN) · ESNet Science Data Network (OSCARS/SDN) · G?ANT2 AutoBahn System

236

IPv6 Implementation at a Network Service Provider  

NLE Websites -- All DOE Office Websites (Extended Search)

U.S. Department of Energy | Office of Science ESnet4 Backbone Topology Router node 10G link Lawrence Berkeley National Laboratory U.S. Department of Energy | Office of Science...

237

Reports  

NLE Websites -- All DOE Office Websites (Extended Search)

Reports Reports About ESnet Overview ESnet Staff Governance Our Network Case Studies ESnet Strategic Plan ESnet Organizational Chart ESnet History Science Requirements Network Requirements Reviews Reports Careers Contact Us Technical Assistance: 1 800-33-ESnet (Inside the US) 1 800-333-7638 (Inside the US) 1 510-486-7600 (Globally) 1 510-486-7607 (Globally) Report Network Problems: trouble@es.net Provide Web Site Feedback: info@es.net Reports ESnet publishes reports from science network Program Requirements Reviews on a regular basis. View the most recent of these below. Sort by: Date | Author | Type 2012 Eli Dart, Brian Tierney, Editors, "Biological and Environmental Research Network Requirements Workshop, November 2012 - Final Report"", November 29, 2012, LBNL LBNL-6395E

238

Cees de Laat  

NLE Websites -- All DOE Office Websites (Extended Search)

Operate for the Energy Sciences Network Enclave (ESnet) Policy Board Vinton Cerf David Clark David Foster Cees de Laat Kristin Rauschenbach Jagdeep Singh Larry Smarr Our Network...

239

Larry Smarr  

NLE Websites -- All DOE Office Websites (Extended Search)

Operate for the Energy Sciences Network Enclave (ESnet) Policy Board Vinton Cerf David Clark David Foster Cees de Laat Kristin Rauschenbach Jagdeep Singh Larry Smarr Our Network...

240

Mr. Jagdeep Singh  

NLE Websites -- All DOE Office Websites (Extended Search)

Operate for the Energy Sciences Network Enclave (ESnet) Policy Board Vinton Cerf David Clark David Foster Cees de Laat Kristin Rauschenbach Jagdeep Singh Larry Smarr Our Network...

Note: This page contains sample records for the topic "network esnet bes" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

Kristin Rauschenbach  

NLE Websites -- All DOE Office Websites (Extended Search)

Operate for the Energy Sciences Network Enclave (ESnet) Policy Board Vinton Cerf David Clark David Foster Cees de Laat Kristin Rauschenbach Jagdeep Singh Larry Smarr Our Network...

242

Vinton Cerf  

NLE Websites -- All DOE Office Websites (Extended Search)

Operate for the Energy Sciences Network Enclave (ESnet) Policy Board Vinton Cerf David Clark David Foster Cees de Laat Kristin Rauschenbach Jagdeep Singh Larry Smarr Our Network...

243

Science DMZ Case Studies  

NLE Websites -- All DOE Office Websites (Extended Search)

Studies Studies About ESnet Overview ESnet Staff Governance Our Network Case Studies OSCARS Case Studies Science DMZ Case Studies Science DMZ CU Science DMZ Penn State & VTTI Science DMZ NOAA Science DMZ NERSC Science DMZ ALS Multi-facility Workflow LCLS ESnet Strategic Plan ESnet Organizational Chart ESnet History Science Requirements Careers Contact Us Technical Assistance: 1 800-33-ESnet (Inside the US) 1 800-333-7638 (Inside the US) 1 510-486-7600 (Globally) 1 510-486-7607 (Globally) Report Network Problems: trouble@es.net Provide Web Site Feedback: info@es.net Science DMZ Case Studies Developed by ESnet engineers, the Science DMZ model addresses common network performance problems encountered at any institution by creating an environment that is tailored to the needs of high performance science

244

ESnet4_USA_Map_V2  

NLE Websites -- All DOE Office Websites (Extended Search)

theory). SST-1: SST-1 (Steady State Tokamak) is located at the Institute for Plasma Research (IPR), in Bhat, India. It is the smallest of all the new superconducting tokamaks...

245

24544_FES_ESnet_Cover_final  

NLE Websites -- All DOE Office Websites (Extended Search)

SST-1: The Steady State Superconducting Tokamak is located at the Institute for Plasma Research (IPR), in Gujarat, India. It is the smallest of all the new superconducting...

246

NERSC-BER-Yelick.v5.ppt  

NLE Websites -- All DOE Office Websites (Extended Search)

Biological and Biological and Environmental Research Katherine Yelick NERSC Director Requirements Workshop NERSC is the Production Facility for DOE SC * NERSC serves a large population Approximately 3000 users, 400 projects, 500 code instances * Focus on "unique" resources - High end computing systems - High end storage systems * Large shared file system * Tape archive - Interface to high speed networking * ESNEt soon to be 100 Gb/s * Allocate time / storage - Current processor hours and tape storage 2 ASCR 7% BER 19% BES 29% FES 18% HEP 17% NP 10% 2009 Allocations What's Changed in DOE Priorities for NERSC? 0% 5% 10% 15% 20% 25% 30% 35% 2002 2003 2004 2005 2006 2007 2008 2009 Usage by Science Type as a Percent of Total Usage Accelerator Physics

247

US LHCNet: Transatlantic Networking for the LHC and the U.S. HEP Community  

Science Conference Proceedings (OSTI)

US LHCNet provides the transatlantic connectivity between the Tier1 computing facilities at the Fermilab and Brookhaven National Labs and the Tier0 and Tier1 facilities at CERN, as well as Tier1s elsewhere in Europe and Asia. Together with ESnet, Internet2, and other R&E Networks participating in the LHCONE initiative, US LHCNet also supports transatlantic connections between the Tier2 centers (where most of the data analysis is taking place) and the Tier1s as needed. Given the key roles of the US and European Tier1 centers as well as Tier2 centers on both continents, the largest data flows are across the Atlantic, where US LHCNet has the major role. US LHCNet manages and operates the transatlantic network infrastructure including four Points of Presence (PoPs) and currently six transatlantic OC-192 (10Gbps) leased links. Operating at the optical layer, the network provides a highly resilient fabric for data movement, with a target service availability level in excess of 99.95%. This level of resilience and seamless operation is achieved through careful design including path diversity on both submarine and terrestrial segments, use of carrier-grade equipment with built-in high-availability and redundancy features, deployment of robust failover mechanisms based on SONET protection schemes, as well as the design of facility-diverse paths between the LHC computing sites. The US LHCNet network provides services at Layer 1(optical), Layer 2 (Ethernet) and Layer 3 (IPv4 and IPv6). The flexible design of the network, including modular equipment, a talented and agile team, and flexible circuit lease management, allows US LHCNet to react quickly to changing requirements form the LHC community. Network capacity is provisioned just-in-time to meet the needs, as demonstrated in the past years during the changing LHC start-up plans.

Newman, Harvey B; Barczyk, Artur J

2013-04-05T23:59:59.000Z

248

Case Studies  

NLE Websites -- All DOE Office Websites (Extended Search)

service. Here are a number of examples of how perfSONAR, ESnet's network troubleshooting and monitoring software, resolved user problems. Our activities also extend...

249

Joseph Bester | Argonne National Laboratory  

NLE Websites -- All DOE Office Websites (Extended Search)

for GT 4 WSRF C implementation Past Projects DSL system configuration and networking. ESnet performance New software tools GlobusView Grid Storage Client AP GASS Globus Testbed...

250

Data Intensive  

NLE Websites -- All DOE Office Websites (Extended Search)

their local network infrastructure to more effectively move data in and out of NERSC, ESnet maintains a comprehensive knowledge base (http:fasterdata.es.net) that includes...

251

Berkeley Lab Breaks Ground on the Computational Research Facility  

NLE Websites -- All DOE Office Websites (Extended Search)

through its operation of the Energy Department's Energy Sciences Network (ESnet), which provides high-bandwidth connections for researchers worldwide to work together...

252

Berkeley Lab Computing Sciences: Research  

NLE Websites -- All DOE Office Websites (Extended Search)

Sciences organization enables and advances computational research throughout the DOE science community. NERSC and ESnet provide high performance computing and networking...

253

Contact Us  

NLE Websites -- All DOE Office Websites (Extended Search)

Contact Us Contact Us Contact Us ESnet Administration Operations Research Outreach and Communications Greg Bell Division Director Scientific Networking Division grbell@es.net Administrative Contact Shorei Butler smbutler@es.net (510) 486-6304 (510) 486-6712 [fax] Postal Address Lawrence Berkeley National Laboratory Energy Sciences Network 1 Cyclotron Road Mail stop 50A-3111 Berkeley, CA 94720 Visiting ESnet Visitor page for Lawrence Berkeley National Lab ESnet is monitored on a 24-hour-per-day basis by the ESnet networking staff located at Lawrence Berkeley National Laboratory. Our staff is available 8 a.m. to 5 p.m. P.T. Monday through Friday. Call ESnet NOC (Network Operation Center) From inside U.S.: 1 (800) 333-7638 1 (800) 33 ESnet Globally: 1 (510) 486-7600 1 (510) 486-7607

254

Attendees  

NLE Websites -- All DOE Office Websites (Extended Search)

» BER Attendees 2012 » BER Attendees 2012 About ESnet Overview ESnet Staff Governance Our Network Case Studies ESnet Strategic Plan ESnet Organizational Chart ESnet History Science Requirements Network Requirements Reviews ASCR Requirements Review 2012 BER Requirements Review 2012 BER Attendees 2012 HEP/NP Requirements Review 2013 Documents and Background Materials FAQ for Case Study Authors Previous Reviews Reports Careers Contact Us Technical Assistance: 1 800-33-ESnet (Inside the US) 1 800-333-7638 (Inside the US) 1 510-486-7600 (Globally) 1 510-486-7607 (Globally) Report Network Problems: trouble@es.net Provide Web Site Feedback: info@es.net BER Attendees 2012 Attendee list for the 2012 BER Network Requirements Review Name Organization Area V. Balaji Princeton University ESGF Tom Boden ORNL ARM/CDIAC

255

Bayesian networks  

E-Print Network (OSTI)

g causal independence in Bayesian network inference. Journalworld ap- plications of Bayesian networks. Communications ofJensen. An Introduction to Bayesian Networks. Springer, New

Judea Pearl

2011-01-01T23:59:59.000Z

256

OSCARS helps build new circuit for JGI-NERS  

NLE Websites -- All DOE Office Websites (Extended Search)

Studies » OSCARS JGI Studies » OSCARS JGI About ESnet Overview ESnet Staff Governance Our Network Case Studies OSCARS Case Studies OSCARS JGI Science DMZ Case Studies Multi-facility Workflow LCLS ESnet Strategic Plan ESnet Organizational Chart ESnet History Science Requirements Careers Contact Us Technical Assistance: 1 800-33-ESnet (Inside the US) 1 800-333-7638 (Inside the US) 1 510-486-7600 (Globally) 1 510-486-7607 (Globally) Report Network Problems: trouble@es.net Provide Web Site Feedback: info@es.net OSCARS Extends JGI Network Capacity In February 2010, the Joint Genome Institute (JGI) at Lawrence Berkeley National Laboratory (Berkeley Lab) had an immediate need for increased computing resources. Meanwhile, twenty miles away the Magellan Cloud computing cluster located at National Energy Research Scientific Computing

257

Science DMZ for ALS  

NLE Websites -- All DOE Office Websites (Extended Search)

ALS ALS About ESnet Overview ESnet Staff Governance Our Network Case Studies OSCARS Case Studies Science DMZ Case Studies Science DMZ CU Science DMZ Penn State & VTTI Science DMZ NOAA Science DMZ NERSC Science DMZ ALS Multi-facility Workflow LCLS ESnet Strategic Plan ESnet Organizational Chart ESnet History Science Requirements Careers Contact Us Technical Assistance: 1 800-33-ESnet (Inside the US) 1 800-333-7638 (Inside the US) 1 510-486-7600 (Globally) 1 510-486-7607 (Globally) Report Network Problems: trouble@es.net Provide Web Site Feedback: info@es.net Science DMZ for ALS Many beamline scientists at Berkeley Lab's Advanced Light Source (ALS) are or will be experiencing slower network speeds because of instrument upgrades. These new instruments, or more specifically detectors, are

258

Science DMZ National Oceanic and Atmospheric Administration  

NLE Websites -- All DOE Office Websites (Extended Search)

NOAA NOAA About ESnet Overview ESnet Staff Governance Our Network Case Studies OSCARS Case Studies Science DMZ Case Studies Science DMZ CU Science DMZ Penn State & VTTI Science DMZ NOAA Science DMZ NERSC Science DMZ ALS Multi-facility Workflow LCLS ESnet Strategic Plan ESnet Organizational Chart ESnet History Science Requirements Careers Contact Us Technical Assistance: 1 800-33-ESnet (Inside the US) 1 800-333-7638 (Inside the US) 1 510-486-7600 (Globally) 1 510-486-7607 (Globally) Report Network Problems: trouble@es.net Provide Web Site Feedback: info@es.net Science DMZ National Oceanic and Atmospheric Administration The National Oceanic and Atmospheric Administration (NOAA) in Boulder houses the Earth System Research Lab, which supports a "reforecasting" project. The initiative involves running several decades of historical

259

Germantown Natural History | U.S. DOE Office of Science (SC)  

Office of Science (SC) Website

Sciences (BES) BES Home About BES BES Staff Organization Chart .pdf file (51KB) BES Budget BES Committees of Visitors Directions to BES BES Jobs BES Organizational History...

260

Spatial Networks  

E-Print Network (OSTI)

Complex systems are very often organized under the form of networks where nodes and edges are embedded in space. Transportation and mobility networks, Internet, mobile phone networks, power grids, social and contact networks, neural networks, are all examples where space is relevant and where topology alone does not contain all the information. Characterizing and understanding the structure and the evolution of spatial networks is thus crucial for many different fields ranging from urbanism to epidemiology. An important consequence of space on networks is that there is a cost associated to the length of edges which in turn has dramatic effects on the topological structure of these networks. We will expose thoroughly the current state of our understanding of how the spatial constraints affect the structure and properties of these networks. We will review the most recent empirical observations and the most important models of spatial networks. We will also discuss various processes which take place on these spa...

Barthelemy, Marc

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "network esnet bes" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

Integrating BES in the wastewater and sludge  

E-Print Network (OSTI)

, denitrification, and anaerobic digester treatment systems, while chemical methods include phosphate removal, dye of WAS, including treatment of influent or the accumulated sludge with anaerobic digesters (Rulkens 2008 bacterial metabolism even at conditions outside the optimum range for anaerobic digestion (Angenent et al

Angenent, Lars T.

262

NERSC/DOE BES Requirements Workshop Logistics  

NLE Websites -- All DOE Office Websites (Extended Search)

Department of Energy's Office of Basic Energy Sciences and Office of Advanced Scientific Computing Research (ASCR) to elucidate computing requirements for high energy physics...

263

NERSC/DOE BES Requirements Workshop Participants  

NLE Websites -- All DOE Office Websites (Extended Search)

February 9-10, 2010 Name Organization Area James Davenport DOEBES & Brookhaven National Lab Materials Sciences and Engineering Division; Theoretical Condensed Matter Physics...

264

NERSC/DOE BES Requirements Workshop Agenda  

NLE Websites -- All DOE Office Websites (Extended Search)

Jim Davenport Thomas Devereaux Jeffery Neaton 17:30 14:30 Break 17:40 14:40 Case Studies: Classical Molecular Dynamics Codes and Coupling of Length Scales DOE POC: Mark Pederson...

265

NERSC/DOE BES Requirements Workshop Presentations  

NLE Websites -- All DOE Office Websites (Extended Search)

Quantum Monte Carlo for the Electronic Structure of Atoms and Molecules February 9, 2010 | Author(s): Brian Austin | Simulations of correlated electrons: What's under the...

266

Bayesian Networks  

E-Print Network (OSTI)

season. do X X X X Thus, Bayesian networks are particularly1990 G.F. Cooper and E. Herskovits. A Bayesian method forcon- structing Bayesian belief networks from databases.

Judea Pearl

2011-01-01T23:59:59.000Z

267

Wireless Networking  

Science Conference Proceedings (OSTI)

Over the past decade, the world has witnessed an explosion in the development and deployment of new wireless network technologies. From cellular mobile telephony to the ubiquitous "WiFi" networks in coffee-shops and airports, to the emerging WiMAX wireless ... Keywords: Networking

Anurag Kumar; D. Manjunath; Joy Kuri

2008-03-01T23:59:59.000Z

268

Network Hopes  

Science Conference Proceedings (OSTI)

In this work, the authors examine four cases of municipalities that have attempted to create municipal-sponsored wireless broadband networks. In each of these cases, one of the reasons given for establishing the network was to engage the citizens in ... Keywords: civic engagement, municipalities, social capital, wireless broadband Internet

Andrea H. Tapia; Julio Angel Ortiz

2010-02-01T23:59:59.000Z

269

Network Simulation  

SciTech Connect

A detailed introduction to the design, implementation and use of network simulation tools is presented. The requirements and issues faced in the design of simulators for wired and wireless networks are discussed. Abstractions such as packet- and fluid-level network models are covered. Several existing simulations are given as examples, with details and rationales regarding design decisions presented. Issues regarding performance and scalability are discussed in detail, describing how one can utilize distributed simulation methods to increase the scale and performance of a simulation environment. Finally, a case study of two simulation tools is presented that have been developed using distributed simulation techniques. This text is essential to any student, researcher or network architect desiring a detailed understanding of how network simulation tools are designed, implemented, and used.

Fujimoto, Richard [ORNL; Perumalla, Kalyan S [ORNL; Riley, George F. [Georgia Institute of Technology

2006-01-01T23:59:59.000Z

270

Visio-ESnet-4-Backbone-Peering.now.vsd  

NLE Websites -- All DOE Office Websites (Extended Search)

By: Clint Wadsworth By: Clint Wadsworth Revised: Revised by Mark Redman 06-15-2009 This Map is for DOE Business Use Only. Do Not Redistribute. For copies contact info@es.net US R&E International R&E Peering Commercial Commercial Peering International Peering OC12-Link(622Mb) NLR 10 GE Circuit Internet 2 10GE-SDN-Circuit Internet2 10GE-IP-Circuit 1GE-Link S W I T C H 10GE-Link ROUTER MAN SITE MAN 10 GE RING SITE OC48-Link(2.48Gb) OC3-Link(155Mb) FE-Link(100Mb) DS3-Link(45Mb) T1-Link(1.45Mb) Ether-Link(10Mb) R&E and International 10G Peering Connections R&E and International 1G Peering Connections PerfSonar enabled perfSONAR CANADA (CANARIE) CENIC/DREN/ INTERNET2/ LOS NETTOS/ NASA/NLR ASIA-PACIFIC (KAREN/KREONET2/NUS-GP/ ODN/REANNZ/SINET/TANET2/ TRANSPAC2) AUSTRALIA (AARnet) CENIC/INTERNET2/ LOSNETTOS/NASA

271

Microsoft Word - ESnet-ANI terms and conditions 102810.docx  

NLE Websites -- All DOE Office Websites (Extended Search)

of Commerce "Computer Tier IV" list. As of October 11, 2007, these countries are Cuba, Iran, North Korea, Sudan, and Syria. No work may be performed on ANI resources on behalf of...

272

ESnet Defined: Challenges and Overview Department of Energy...  

NLE Websites -- All DOE Office Websites (Extended Search)

Asia * GEANT AutoBAHN - HEAnet (Ireland) - GRnet (Greece) - FCCN (Portugal) - PIONIER (Poland) - GARR (Italy) - CESNET (Czech) - CARNet (Croatia) * NORDUnet (Scandinavia) * SURFnet...

273

EMERGE: ESnet/MREN regional grid experimental NGI testbed  

Science Conference Proceedings (OSTI)

The shortened project focused on development of software package manager that could be applied on heterogeneous platforms. We successfully developed the package manager called the ''Grid Packaging Tool''. Further we used GPT to package the Globus Toolkit and GPT is being used today to package and distribute Globus.

Blau, Eric; Bletzinger, Michael; Butler, Randy

2002-06-01T23:59:59.000Z

274

Final Report And Recommendations Of The Esnet Authentication Pilot Project  

E-Print Network (OSTI)

This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor Battelle Memorial Institute, nor any of their employees, makes any warranty, expressed or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof, or Battelle Memorial Institute. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof. PACIFIC NORTHWEST LABORATORY

G. R. Johnson; C.L. Athey; D. E. Engert; J. P. Moore; J.E. Ramus

1995-01-01T23:59:59.000Z

275

EMERGE - ESnet/MREN Regional Science Grid Experimental NGI Testbed  

Science Conference Proceedings (OSTI)

This document is the final report on the EMERGE Science Grid testbed research project from the perspective of the International Center for Advanced Internet Research (iCAIR) at Northwestern University, which was a subcontractor to this UIC project. This report is a compilation of information gathered from a variety of materials related to this project produced by multiple EMERGE participants, especially those at Electronic Visualization Lab (EVL) at the University of Illinois at Chicago (UIC), Argonne National Lab and iCAIR. The EMERGE Science Grid project was managed by Tom DeFanti, PI from EVL at UIC.

Mambretti, Joe; DeFanti, Tom; Brown, Maxine

2001-07-31T23:59:59.000Z

276

Historic Sudbury Neutrino Observatory Data, Carried by ESnet...  

NLE Websites -- All DOE Office Websites (Extended Search)

at the Berkeley Lab who helped migrate data from disks at the SNO facility in Sudbury, Canada, to the NERSC facility in Oakland, Calif. "It is important to preserve this data for...

277

Social Networks Applied  

Science Conference Proceedings (OSTI)

Social networks have interesting properties. Building computational models of these networks can help us understand and exploit them. This issue's essays examine applications of these networks' properties. Keywords: social networks, ontology, Semantic Web, network topology, friend of a friend

Steffen Staab; Pedro Domingos; Peter Mika; Jennifer Golbeck; Li Ding; Tim Finin; Anupam Joshi; Andrzej Nowak; Robin R. Vallacher

2005-01-01T23:59:59.000Z

278

Network Mobility Home Network Models  

E-Print Network (OSTI)

This memo provides information for the Internet community. It does not specify an Internet standard of any kind. Distribution of this memo is unlimited. Copyright Notice Copyright (C) The IETF Trust (2007). This paper documents some of the usage patterns and the associated issues when deploying a Home Network for Network Mobility (NEMO)enabled Mobile Routers, conforming to the NEMO Basic Support. The aim here is specifically to provide some examples of organization of the Home Network, as they were discussed in NEMO-related mailing

P. Thubert; Cisco Systems; R. Wakikawa; V. Devarapalli

2007-01-01T23:59:59.000Z

279

Supercomputers Capture Turbulence in the Solar Wind  

NLE Websites -- All DOE Office Websites (Extended Search)

Supercomputers Capture Supercomputers Capture Turbulence in the Solar Wind News & Publications ESnet in the News ESnet News Media & Press Publications and Presentations Galleries ESnet Awards and Honors Contact Us Technical Assistance: 1 800-33-ESnet (Inside the US) 1 800-333-7638 (Inside the US) 1 510-486-7600 (Globally) 1 510-486-7607 (Globally) Report Network Problems: trouble@es.net Provide Web Site Feedback: info@es.net Supercomputers Capture Turbulence in the Solar Wind Berkeley Lab visualizations could help scientists forecast destructive space weather December 16, 2013 | Tags: ESnet News, National Energy Research Scientific Computing Linda Vu, +1 510 495 2402, lvu@lbl.gov eddies1.jpg This visualization zooms in on current sheets revealing the "cascade of turbulence" in the solar wind occurring down to electron scales. This is

280

Neural Networks  

SciTech Connect

Physicists use large detectors to measure particles created in high-energy collisions at particle accelerators. These detectors typically produce signals indicating either where ionization occurs along the path of the particle, or where energy is deposited by the particle. The data produced by these signals is fed into pattern recognition programs to try to identify what particles were produced, and to measure the energy and direction of these particles. Ideally, there are many techniques used in this pattern recognition software. One technique, neural networks, is particularly suitable for identifying what type of particle caused by a set of energy deposits. Neural networks can derive meaning from complicated or imprecise data, extract patterns, and detect trends that are too complex to be noticed by either humans or other computer related processes. To assist in the advancement of this technology, Physicists use a tool kit to experiment with several neural network techniques. The goal of this research is interface a neural network tool kit into Java Analysis Studio (JAS3), an application that allows data to be analyzed from any experiment. As the final result, a physicist will have the ability to train, test, and implement a neural network with the desired output while using JAS3 to analyze the results or output. Before an implementation of a neural network can take place, a firm understanding of what a neural network is and how it works is beneficial. A neural network is an artificial representation of the human brain that tries to simulate the learning process [5]. It is also important to think of the word artificial in that definition as computer programs that use calculations during the learning process. In short, a neural network learns by representative examples. Perhaps the easiest way to describe the way neural networks learn is to explain how the human brain functions. The human brain contains billions of neural cells that are responsible for processing information [2]. Each one of these cells acts as a simple processor. When individual cells interact with one another, the complex abilities of the brain are made possible. In neural networks, the input or data are processed by a propagation function that adds up the values of all the incoming data. The ending value is then compared with a threshold or specific value. The resulting value must exceed the activation function value in order to become output. The activation function is a mathematical function that a neuron uses to produce an output referring to its input value. [8] Figure 1 depicts this process. Neural networks usually have three components an input, a hidden, and an output. These layers create the end result of the neural network. A real world example is a child associating the word dog with a picture. The child says dog and simultaneously looks a picture of a dog. The input is the spoken word ''dog'', the hidden is the brain processing, and the output will be the category of the word dog based on the picture. This illustration describes how a neural network functions.

Smith, Patrick I.

2003-09-23T23:59:59.000Z

Note: This page contains sample records for the topic "network esnet bes" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


281

Natural networks  

E-Print Network (OSTI)

Scale-free and non-computable characteristics of natural networks are found to result from the least-time dispersal of energy. To consider a network as a thermodynamic system is motivated since ultimately everything that exists can be expressed in terms of energy. According to the variational principle, the network will grow and restructure when flows of energy diminish energy differences between nodes as well as relative to nodes in surrounding systems. The natural process will yield scale-free characteristics because the nodes that contribute to the least-time consumption of free energy preferably attach to each other. Network evolution is a path-dependent and non-deterministic process when there are two or more paths to consume a common source of energy. Although evolutionary courses of these non-Hamiltonian systems cannot be predicted, many mathematical functions, models and measures that characterize networks can be recognized as appropriate approximations of the thermodynamic equation of motion that has been derived from statistical physics of open systems.

Tuomo Hartonen; Arto Annila

2011-06-21T23:59:59.000Z

282

Brookhaven Women Engineers' Network  

NLE Websites -- All DOE Office Websites (Extended Search)

Home | Mission | Other links BWEN Brookhaven Women Engineers' Network BNLlogo Brookhaven Women Engineers' Network Network for professionals in engineering, computing and...

283

Network Connections  

NLE Websites -- All DOE Office Websites (Extended Search)

Connecting to NERSC Using X Windows Connecting to NERSC with NX Transferring Data Network Performance Queues and Scheduling Job Logs & Analytics Training & Tutorials Software Accounts & Allocations Policies Data Analytics & Visualization Data Management Policies Science Gateways User Surveys NERSC Users Group User Announcements Help Operations for: Passwords & Off-Hours Status 1-800-66-NERSC, option 1 or 510-486-6821 Account Support https://nim.nersc.gov accounts@nersc.gov 1-800-66-NERSC, option 2 or 510-486-8612 Consulting http://help.nersc.gov consult@nersc.gov 1-800-66-NERSC, option 3 or 510-486-8611 Home » For Users » Network Connections Network Connections NERSC's resources can be accessed using SSH and related tools, grid tools, and via the web. This section explains how to connect to NERSC

284

Networking support for underwater wireless networks.  

E-Print Network (OSTI)

?? Underwater wireless networks provide many opportunities for exploration, environmental monitoring, and military applications. Future growth of underwater networks seems promising as much of the (more)

Kredo, Kurtis B., II

2010-01-01T23:59:59.000Z

285

Services  

NLE Websites -- All DOE Office Websites (Extended Search)

Services Services Services Overview ECS Audio/Video Conferencing Fasterdata IPv6 Network Network Performance Tools (perfSONAR) ESnet OID Registry PGP Key Service Virtual Circuits (OSCARS) DOE Grids Service Transition Contact Us Technical Assistance: 1 800-33-ESnet (Inside the US) 1 800-333-7638 (Inside the US) 1 510-486-7600 (Globally) 1 510-486-7607 (Globally) Report Network Problems: trouble@es.net Provide Web Site Feedback: info@es.net Services ESnet provides interoperable, effective, reliable, and high performance network communications infrastructure, and certain collaboration services, in support of the Office of Science (SC)'s large-scale, collaborative science programs. ESnet provides users with high bandwidth access to DOE sites and DOE's primary science collaborators including Research and

286

Yu Lok Lam  

NLE Websites -- All DOE Office Websites (Extended Search)

Lam works as a lead technician to provide operations and network support to NERSC and ESnet. He earned a B.S. degree in Computer Information Systems at San Francisco State...

287

2011 User Meeting Agenda  

NLE Websites -- All DOE Office Websites (Extended Search)

11:00 The Energy Sciences Network: Moving Data, Advancing Science Eli Dart, LBNL ESnet 11:30 Lunch (ALS Patio and Exhibitor Tent) 12:45 2011 User Meeting Workshops 14:45...

288

Isaac Ovadia  

NLE Websites -- All DOE Office Websites (Extended Search)

joined LBNL in 2007 to provide Computer Operations and Network support to NERSC and ESNET. Isaac has a BS degree in Informations Systems Management from the University of San...

289

Jason Hick  

NLE Websites -- All DOE Office Websites (Extended Search)

GPFS (a.k.a. NGF) - Large archive (a.k.a. HPSS) * Interface to high speed networking - ESnet border soon to be 100Gb * Our mission is to accelerate the pace of discovery by...

290

Supporting Advanced Communications Networks  

Science Conference Proceedings (OSTI)

... it will rely on revolutionary advances in network architecture. ... telemedicine), sensor and control networks (eg, Smart Grid, environmental monitoring ...

2012-02-13T23:59:59.000Z

291

Graceful network state migrations  

Science Conference Proceedings (OSTI)

A significant fraction of network events (such as topology or route changes) and the resulting performance degradation stem from premeditated network management and operational tasks. This paper introduces a general class of Graceful Network State Migration ... Keywords: communication system operations and management, computer network management, network maintenance, network upgrade

Saqib Raza; Yuanbo Zhu; Chen-Nee Chuah

2011-08-01T23:59:59.000Z

292

Network Economics Anna Nagurney  

E-Print Network (OSTI)

: · Transportation Networks ·the Internet · Financial Networks · Supply Chains ·Electric Power Generation power generation and distribution networks can be reformulated as transportation network equilibrium · Brief History of the Science of Networks · Interdisciplinary Impact of Networks · User-Optimization vs

Nagurney, Anna

293

Watching Ions Hop in Next Generation Battery Materials | U.S...  

NLE Websites -- All DOE Office Websites (Extended Search)

BES Home BES Science Highlights 2013 Watching Ions Hop in Next Generation Battery Materials Basic Energy Sciences (BES) BES Home About BES BES Research BES Facilities...

294

Securing network access in wireless sensor networks  

Science Conference Proceedings (OSTI)

In wireless sensor networks, it is critical to restrict the network access only to eligible sensor nodes, while messages from outsiders will not be forwarded in the networks. In this paper, we present the design, implementation, and evaluation of a secure ... Keywords: elliptic curve cryptography, security, sensor networks

Kun Sun; An Liu; Roger Xu; Peng Ning; Douglas Maughan

2009-03-01T23:59:59.000Z

295

DOE Grids Service Transition  

NLE Websites -- All DOE Office Websites (Extended Search)

DOE Grids Service Transition DOE Grids Service Transition Services Overview ECS Audio/Video Conferencing Fasterdata IPv6 Network Network Performance Tools (perfSONAR) ESnet OID Registry PGP Key Service Virtual Circuits (OSCARS) DOE Grids Service Transition Contact Us Technical Assistance: 1 800-33-ESnet (Inside the US) 1 800-333-7638 (Inside the US) 1 510-486-7600 (Globally) 1 510-486-7607 (Globally) Report Network Problems: trouble@es.net Provide Web Site Feedback: info@es.net DOE Grids Service Transition Background ESnet has decided to transition support and management for the certificate services provided by the DOE Grids public key infrastructure (PKI) to the Open Sciences Grid (OSG). OSG and ESnet provide service to many of the same user communities, and have long been collaborators in the areas of identity

296

Network Programming with Perl  

Science Conference Proceedings (OSTI)

From the Book:The network is everywhere. At the office, machines are wired together into local area networks, and the local networks are interconnected via the Internet. At home, personal computers are either intermittently connected to the Internet, ...

Lincoln Stein

2000-12-01T23:59:59.000Z

297

Public Safety Broadband Network  

Science Conference Proceedings (OSTI)

... EMNTG) performs RF network analysis and optimization of ... Network analyses can be used to predict ... of an incident area communication scenario. ...

2012-02-22T23:59:59.000Z

298

ASCR Science Network Requirements  

E-Print Network (OSTI)

ASCR Science Network Requirements Office of AdvancedScientific Computing Research, DOE Office of ScienceEnergy Sciences Network Gaithersburg, MD April 15 and 16,

Dart, Eli

2010-01-01T23:59:59.000Z

299

A 100-Gigbit Highway for Science  

NLE Websites -- All DOE Office Websites (Extended Search)

A 100-Gigabit Highway for A 100-Gigabit Highway for Science News & Publications ESnet in the News ESnet News Media & Press Publications and Presentations Galleries ESnet Awards and Honors Contact Us Technical Assistance: 1 800-33-ESnet (Inside the US) 1 800-333-7638 (Inside the US) 1 510-486-7600 (Globally) 1 510-486-7607 (Globally) Report Network Problems: trouble@es.net Provide Web Site Feedback: info@es.net A 100-Gigabit Highway for Science Researchers Take a "Test Drive" on ANI Testbed April 30, 2012 | Tags: Advanced Network Initiative (ANI) Linda Vu, lvu@lbl.gov, +1 510 495 2402 A warming climate will likely change the statistics of tropical cyclones and hurricanes. This image represents one frame from a simulation called "Hurricane Season" that was created to study how well NCAR's Community

300

Publications and Presentations  

NLE Websites -- All DOE Office Websites (Extended Search)

Publications and Presentations Publications and Presentations News & Publications ESnet in the News ESnet News Publications and Presentations Galleries ESnet Awards and Honors Contact Us Technical Assistance: 1 800-33-ESnet (Inside the US) 1 800-333-7638 (Inside the US) 1 510-486-7600 (Globally) 1 510-486-7607 (Globally) Report Network Problems: trouble@es.net Provide Web Site Feedback: info@es.net Publications and Presentations Sort by: Date | Author | Type 2013 Dart E., Rotman L., Tierney B., Hester M., and Zurawski J., "The Science DMZ: A Network Design Pattern for Data-Intensive Science", IEEE/ACM Annual SuperComputing Conference (SC13), Denver CO, USA, November 19, 2013, LBNL LBNL-6366E Download File: sc13sciDMZ-final.pdf (pdf: 952 KB) Ezra Kissel, Martin Swany, Brian Tierney and Eric Pouyoul, "Efficient

Note: This page contains sample records for the topic "network esnet bes" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

Networks, Information & Social Capital  

E-Print Network (OSTI)

This paper investigates how information flows enable social networks to constitute social capital. By analyzing

Aral, Sinan

2008-01-26T23:59:59.000Z

302

Wireless sensor network survey  

Science Conference Proceedings (OSTI)

A wireless sensor network (WSN) has important applications such as remote environmental monitoring and target tracking. This has been enabled by the availability, particularly in recent years, of sensors that are smaller, cheaper, and intelligent. These ... Keywords: Protocols, Sensor network deployment, Sensor network services, Survey, Wireless sensor network

Jennifer Yick; Biswanath Mukherjee; Dipak Ghosal

2008-08-01T23:59:59.000Z

303

NERSC/DOE BES Requirements Workshop Worksheet - James Muckerman  

NLE Websites -- All DOE Office Websites (Extended Search)

Worksheet 1.1. Project Information - Computational Studies at BNL of the Chemistry of Energy Production Document Prepared By James Muckerman Project Title Computational Studies...

304

DavenportNERSC-BES-10-8-2013.ppt  

NLE Websites -- All DOE Office Websites (Extended Search)

Production Research and Production Research and Storage Requirements for Basic energy Sciences October 8, 2013 Jim Davenport Program Manager - Theoretical Condensed Matter Physics Office of Basic Energy Sciences Materials R esearch i s S upported b Secretary Ernest Moniz Deputy Secretary Daniel B. Poneman Defense Nuclear Security Naval Reactors Defense Programs Counter-terrorism Emergency Operations Office of Science Vacant Patricia Dehmer (A) Nuclear Physics Tim Hallman Advanced Scientific Computing Research Steve Binkley Nuclear Energy Pete Lyons Fossil Energy Christopher Smith (A) Energy Efficiency & Renewable Energy David Danielson Basic Energy Sciences Harriet Kung High Energy Physics James Siegrist Fusion Energy Sciences Ed Synakowski Biological & Environmental Research

305

Report of the fourth BES Welding Research Program meeting  

SciTech Connect

Developments in DOE welding R and D programs, compiled and edited by Materials Technology Division, EG and G Idaho, Inc., were distributed to DOE Basic Energy Sciences and its welding program contractors for information and comment.

1981-12-01T23:59:59.000Z

306

NERSC/DOE BES Requirements Workshop Worksheet - Tony Ladd  

NLE Websites -- All DOE Office Websites (Extended Search)

with unprecedented fidelity. We are developing a new pore-scale simulation of fracture dissolution, which could extend the range of scales that can be simulated by two or three...

307

NERSC/DOE BES Requirements Workshop Worksheet - Burkhard Militzer  

NLE Websites -- All DOE Office Websites (Extended Search)

ability to perform simulations you would like to run. Is there anything specific to NERSC? 1) Most severe limitation at NERSC is the wait time in the queues, 3-4 days is not...

308

NERSC/DOE BES Requirements Workshop Worksheet - Thomas Miller  

NLE Websites -- All DOE Office Websites (Extended Search)

We anticipate increased use of electronic structure theory codes, such plane-wave or DVR-basis DFT codes and Molpro. 4c. Please list any known or anticipated architectural...

309

NERSC/DOE BES Requirements Workshop Worksheet - Andrew Felmy  

NLE Websites -- All DOE Office Websites (Extended Search)

is using first principles molecular dynamic simulations to improve our understanding of natural processes that lead to the concentration of metal species in natural waters and...

310

NERSC/DOE BES Requirements Workshop Worksheet - Malcolm Stocks  

NLE Websites -- All DOE Office Websites (Extended Search)

estimate to use as a starting point for discussions. Facilities Used or Using NERSC OLCF ACLF NSF Centers Other: Architectures Used Cray XT IBM Power BlueGene Linux Cluster...

311

NERSC/DOE BES Requirements Workshop Worksheet - Peter Cummings  

NLE Websites -- All DOE Office Websites (Extended Search)

estimate to use as a starting point for discussions. Facilities Used or Using NERSC OLCF ACLF NSF Centers Other: NCCS Architectures Used Cray XT IBM Power BlueGene Linux...

312

NERSC/DOE BES Requirements Workshop Worksheet - Habib Najm  

NLE Websites -- All DOE Office Websites (Extended Search)

estimate to use as a starting point for discussions. Facilities Used or Using NERSC OLCF ACLF NSF Centers Other: Architectures Used Cray XT IBM Power BlueGene Linux Cluster...

313

NERSC/DOE BES Requirements Workshop Worksheet - Mark Jarrell  

NLE Websites -- All DOE Office Websites (Extended Search)

estimate to use as a starting point for discussions. Facilities Used or Using NERSC OLCF ACLF NSF Centers Other: jaguar and karaken XT5 Architectures Used Cray XT IBM Power...

314

NERSC/DOE BES Requirements Workshop Worksheet - Thomas Devereaux  

NLE Websites -- All DOE Office Websites (Extended Search)

estimate to use as a starting point for discussions. Facilities Used or Using NERSC OLCF ACLF NSF Centers Other: local cluster, Canadian Grid Architectures Used Cray XT IBM...

315

NERSC/DOE BES Requirements Workshop Worksheet - Randy Cygan  

NLE Websites -- All DOE Office Websites (Extended Search)

estimate to use as a starting point for discussions. Facilities Used or Using NERSC OLCF ACLF NSF Centers Other: Institutional machines and local clusters Architectures Used...

316

LCLS - Contributions to the 20-Year BES Facilities Roadmap Workshop  

NLE Websites -- All DOE Office Websites (Extended Search)

Meeting Center 1750 Rockville Pike Rockville, MD 20852 The Linac Coherent Light Source (LCLS), John N. Galayda, 22 February 2003 (Presentation PPT 21,990 KB 30 pp.) (Document...

317

DOE-BES Chemical Sciences Highlights of Progress in Separations...  

Office of Science (SC) Website

will differentiate between actinides, lanthanides and other products of spent reactor fuels are being sought." (The underlines are his.) By 1985 the Chemistry Department had...

318

BES_NERSC_Workshop_Final_P6.pptx  

NLE Websites -- All DOE Office Websites (Extended Search)

Defect
Physics
of
Structural
Materials
for
Energy Defect
Physics
of
Structural
Materials
for
Energy 
 
Ab
initio
methods
for
simulating
the
structure,
interactions
and
 dynamics
of
defects
in
structural
materials
for
extreme
 environments 
 G. Malcolm Stocks, Don M. Nicholson, Markus Eisenbach, Paul Kent, Aurelian Rusanu, Fernando Reboredo, Randy Hood (LLNL), Jeongnim Kim (NCSA) Energy Frontier Center for Defect Physics in Structural Materials (CDP) Oak Ridge National Laboratory Thanks to: Easo George, Ben Larson, Gene Ice, Roger Stoller, Yuri Osetskiy, Steve Zinkle, Rad Radhakrishnan Project
Overview 
 "Crystals are like people: it is the defects in them that make them interesting" Sir Charles Frank  Collective effects of defects determine real materials properties

319

NERSC/DOE BES Requirements Workshop Worksheet - Greg Newman  

NLE Websites -- All DOE Office Websites (Extended Search)

Krylov methods. The imaging component of the algorithm is based on non-linear conjugate gradient and steepest decent optimization scheme. A line search is also involved over the...

320

NERSC/DOE BES Requirements Workshop Worksheet - Jeffrey B. Neaton  

NLE Websites -- All DOE Office Websites (Extended Search)

function, is not yet well understood. This is particularly the case in the context of solar energy applications, such as photovoltaic conversion and multielectron catalysis,...

Note: This page contains sample records for the topic "network esnet bes" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

Network Observability Transitions  

E-Print Network (OSTI)

In the modeling, monitoring, and control of complex networks, a fundamental problem concerns the comprehensive determination of the state of the system from limited measurements. Using power grids as example networks, we show that this problem leads to a new type of percolation transition, here termed a {\\it network observability transition}, which we solve analytically for the configuration model. We also demonstrate a dual role of the network's community structure, which both facilitates optimal measurement placement and renders the networks substantially more sensitive to `observability attacks'. Aside from their immediate implications for the development of smart grids, these results provide insights into decentralized biological, social, and technological networks.

Yang, Yang; Motter, Adilson E; 10.1103/PhysRevLett.109.258701

2013-01-01T23:59:59.000Z

322

Connectibles : tangible social networking  

E-Print Network (OSTI)

This thesis presents "Connectibles," an instantiation of a tangible social network, a new type of social network application rooted in physical objects and real world social behavior. This research is inspired by social ...

Kalanithi, Jeevan James

2007-01-01T23:59:59.000Z

323

Network game and boosting  

Science Conference Proceedings (OSTI)

We propose an ensemble learning method called Network Boosting which combines weak learners together based on a random graph (network). A theoretic analysis based on the game theory shows that the algorithm can learn the target hypothesis asymptotically. ...

Shijun Wang; Changshui Zhang

2005-10-01T23:59:59.000Z

324

Networking Value Center  

Science Conference Proceedings (OSTI)

Identifies opportunities and structures that foster networking amongst participants for the purpose of building value into the experience. Networking Value Center AOCS History and Governance about us aocs committees contact us division council fat

325

Network coded wireless architecture  

E-Print Network (OSTI)

Wireless mesh networks promise cheap Internet access, easy deployment, and extended range. In their current form, however, these networks suffer from both limited throughput and low reliability; hence they cannot meet the ...

Katti, Sachin Rajsekhar

2008-01-01T23:59:59.000Z

326

Synchronisation in data networks  

Science Conference Proceedings (OSTI)

Synchronisation is of fundamental importance to the performance of digital networks, but the effects of poor network timing on the information being transported are often largely ignored. This paper provides an introduction to the subject of synchronisation, ...

T. S. Brown; M. J. Gilson; M. G. Mason

1998-01-01T23:59:59.000Z

327

Multifunctional Mesoscale Observing Networks  

Science Conference Proceedings (OSTI)

More than 120 scientists, engineers, administrators, and users met on 810 December 2003 in a workshop format to discuss the needs for enhanced three-dimensional mesoscale observing networks. Improved networks are seen as being critical to ...

Walter F. Dabberdt; Thomas W. Schlatter; Frederick H. Carr; Elbert W. Joe Friday; David Jorgensen; Steven Koch; Maria Pirone; F. Martin Ralph; Juanzhen Sun; Patrick Welsh; James W. Wilson; Xiaolei Zou

2005-07-01T23:59:59.000Z

328

Piecewise truckload network procurement  

E-Print Network (OSTI)

Faced with procuring transportation over its freight network, a shipper can either bid out all of its lanes at once, or somehow divide up the network and bid it out in pieces. For large shippers, practical concerns such ...

Huang, Jefferson

2011-01-01T23:59:59.000Z

329

Networked Control Systems Group  

Science Conference Proceedings (OSTI)

... and deploys measurement science for sensor networks and control systems used in manufacturing, construction, and other cyber-physical systems ...

2012-08-30T23:59:59.000Z

330

Network protection with service guarantees  

E-Print Network (OSTI)

With the increasing importance of communication networks comes an increasing need to protect against network failures. Traditional network protection has been an "all-or-nothing" approach: after any failure, all network ...

Kuperman, Gregory

2013-01-01T23:59:59.000Z

331

Network coding: an instant primer  

Science Conference Proceedings (OSTI)

Network coding is a new research area that may have interesting applications in practical networking systems. With network coding, intermediate nodes may send out packets that are linear combinations of previously received information. There are two ... Keywords: network coding

Christina Fragouli; Jean-Yves Le Boudec; Jrg Widmer

2006-01-01T23:59:59.000Z

332

Outsourcing network functionality  

Science Conference Proceedings (OSTI)

This paper presents an architecture for adding functionality to networks via outsourcing. In this model, the enterprise network only forwards data; any additional processing is performed by external Feature Providers (FPs). FPs provide and manage ... Keywords: jingling, middleboxes, network services, outsourcing, sdn

Glen Gibb; Hongyi Zeng; Nick McKeown

2012-08-01T23:59:59.000Z

333

Energy proportional datacenter networks  

Science Conference Proceedings (OSTI)

Numerous studies have shown that datacenter computers rarely operate at full utilization, leading to a number of proposals for creating servers that are energy proportional with respect to the computation that they are performing. In this paper, ... Keywords: datacenter networks, interconnection networks, low-power networking

Dennis Abts; Michael R. Marty; Philip M. Wells; Peter Klausler; Hong Liu

2010-06-01T23:59:59.000Z

334

Cyber and Network Security Homepage  

Science Conference Proceedings (OSTI)

Cyber and Network Security. Cyber and network security is focused on ensuring three security objectives of information ...

2010-10-05T23:59:59.000Z

335

Networks in Cognitive Science  

E-Print Network (OSTI)

Networks of interconnected nodes have long played a key role in cognitive science, from artificial neural networks to spreading activation models of semantic memory. Recently, however, a new Network Science has been developed, providing insights into the emergence of global, system-scale properties in contexts as diverse as the Internet, metabolic reactions or collaborations among scientists. Today, the inclusion of network theory into cognitive sciences, and the expansion of complex systems science, promises to significantly change the way in which the organization and dynamics of cognitive and behavioral processes are understood. In this paper, we review recent contributions of network theory at different levels and domains within the cognitive sciences.

Baronchelli, Andrea; Pastor-Satorras, Romualdo; Chater, Nick; Christiansen, Morten H

2013-01-01T23:59:59.000Z

336

Network Characterization Service (NCS)  

Science Conference Proceedings (OSTI)

Distributed applications require information to effectively utilize the network. Some of the information they require is the current and maximum bandwidth, current and minimum latency, bottlenecks, burst frequency, and congestion extent. This type of information allows applications to determine parameters like optimal TCP buffer size. In this paper, we present a cooperative information-gathering tool called the network characterization service (NCS). NCS runs in user space and is used to acquire network information. Its protocol is designed for scalable and distributed deployment, similar to DNS. Its algorithms provide efficient, speedy and accurate detection of bottlenecks, especially dynamic bottlenecks. On current and future networks, dynamic bottlenecks do and will affect network performance dramatically.

Jin, Guojun; Yang, George; Crowley, Brian; Agarwal, Deborah

2001-06-06T23:59:59.000Z

337

Network Routing Capacity  

E-Print Network (OSTI)

We define the routing capacity of a network to be the supremum of all possible fractional message throughputs achievable by routing. We prove that the routing capacity of every network is achievable and rational, we present an algorithm for its computation, and we prove that every non-negative rational number is the routing capacity of some network. We also determine the routing capacity for various example networks. Finally, we discuss the extension of routing capacity to fractional coding solutions and show that the coding capacity of a network is independent of the alphabet used.

Jillian Cannons; Randall Dougherty; Christopher Freiling; Kenneth Zeger

2005-01-01T23:59:59.000Z

338

Network topology analysis.  

SciTech Connect

Emerging high-bandwidth, low-latency network technology has made network-based architectures both feasible and potentially desirable for use in satellite payload architectures. The selection of network topology is a critical component when developing these multi-node or multi-point architectures. This study examines network topologies and their effect on overall network performance. Numerous topologies were reviewed against a number of performance, reliability, and cost metrics. This document identifies a handful of good network topologies for satellite applications and the metrics used to justify them as such. Since often multiple topologies will meet the requirements of the satellite payload architecture under development, the choice of network topology is not easy, and in the end the choice of topology is influenced by both the design characteristics and requirements of the overall system and the experience of the developer.

Kalb, Jeffrey L.; Lee, David S.

2008-01-01T23:59:59.000Z

339

Placement of network services in a sensor network  

Science Conference Proceedings (OSTI)

An important challenge in designing a wireless sensor network is to maximise the network's lifetime. In a hierarchical cluster-based network, a key design issue is the placement of cluster heads (data loggers) such that the total power ... Keywords: beacons, cluster heads, clustering, data loggers, energy conservation, sensor localisation, service placement, wireless networks, wireless sensor networks

Jennifer Yick; Gregory Pasternack; Biswanath Mukherjee; Dipak Ghosal

2006-02-01T23:59:59.000Z

340

General network properties of friendship online social network  

Science Conference Proceedings (OSTI)

This paper explores visiting metrics and some of the more important general network properties of Fitcolab online social network (OSN). The wide array of statistics was explored in order to obtain general insight that will not only be useful by itself ... Keywords: online social networks, social network analysis, social networks

Haris Memic

2010-11-01T23:59:59.000Z

Note: This page contains sample records for the topic "network esnet bes" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

Network load-aware content distribution in overlay networks  

Science Conference Proceedings (OSTI)

Massive content distribution on overlay networks stresses both the server and the network resources because of the large volumes of data, relatively high bandwidth requirement, and many concurrent clients. While the server limitation can be circumvented ... Keywords: Content distribution networks, Hypercube, Node selection, Overlay networks, Peer-to-peer networks, Server selection

Seung Chul Han; Ye Xia

2009-01-01T23:59:59.000Z

342

Seven Deadliest Network Attacks  

Science Conference Proceedings (OSTI)

Do you need to keep up with the latest hacks, attacks, and exploits effecting networks? Then you need "Seven Deadliest Network Attacks". This book pinpoints the most dangerous hacks and exploits specific to networks, laying out the anatomy of these attacks including how to make your system more secure. You will discover the best ways to defend against these vicious hacks with step-by-step instruction and learn techniques to make your computer and network impenetrable. Attacks detailed in this book include: Denial of Service; War Dialing; Penetration 'Testing'; Protocol Tunneling; Spanning Tree Attacks; Man-in-the-Middle; and, Password Replay. Knowledge is power, find out about the most dominant attacks currently waging war on computers and networks globally. Discover the best ways to defend against these vicious attacks; step-by-step instruction shows you how. Institute countermeasures, don't be caught defenseless again, learn techniques to make your computer and network impenetrable.

Prowell, Stacy J [ORNL; Borkin, Michael [None; Kraus, Robert [Solutionary, Inc.

2010-05-01T23:59:59.000Z

343

Multimedia Gallery  

NLE Websites -- All DOE Office Websites (Extended Search)

Video Gallery News & Publications ESnet in the News ESnet News Publications and Presentations Galleries Image Gallery Video Gallery ESnet Awards and Honors Contact Us Technical...

344

Energy Efficiency Events  

NLE Websites -- All DOE Office Websites (Extended Search)

Energy Efficiency Events at SC11 News & Publications ESnet in the News ESnet News Media & Press Publications and Presentations Galleries ESnet Awards and Honors Contact Us...

345

NERSC Annual Report 2004  

E-Print Network (OSTI)

Room, Operations and ESnet Support Team VisualizationThe group, working with ESnet and other labs, also tested aprogram was conducted across ESnet to evaluate the technical

Hules, John; Bashor, Jon; Yarris, Lynn; McCullough, Julie; Preuss, Paul; Bethel, Wes

2005-01-01T23:59:59.000Z

346

NERSC 2011: High Performance Computing Facility Operational Assessment for the National Energy Research Scientific Computing Center  

E-Print Network (OSTI)

utilizes a separate link to ESnet to provide data-rich largecontinues to partner with ESnet in providing quality networksignificant collaboration with ESnet and other facility

Antypas, Katie

2013-01-01T23:59:59.000Z

347

Berkeley Lab Computing Sciences: Accelerating Scientific Discovery  

E-Print Network (OSTI)

facilities NERSC and ESnet and by conduct- ing appliedCOMPUTATIONAL SCIENCE ESnet is a reliable, high- bandwidthdevelopment. NERSC and ESnet staff participate in advanced

Hules, John A

2009-01-01T23:59:59.000Z

348

Urban Networks Simulation Tools  

Science Conference Proceedings (OSTI)

Utilities that serve customers using networked secondary, or low-voltage, systems require that technologies be able to model the system and perform load flow and other circuit analyses on both the primary and the networked secondary. Utilities can use commercially available load flow products to model their radial systems, but many older products are unable to accurately model and perform analyses on meshed secondary network systems sourced from multiple primary feeders. Consequently, many utilities are ...

2010-03-31T23:59:59.000Z

349

System and Network Management  

Science Conference Proceedings (OSTI)

This document covers Systems and Network Management Requirements and is the first deliverable in a joint EPRI and Utility User Project to develop Network Management capability for Electric Utility Automation Systems (UAS) using international communication standards such as IEC 61850. The management of substation automation systems is critical since tools are now based, for the most part, on proprietary hardware and software. In modern state-of-the art substations, traditional network management has ...

2012-12-20T23:59:59.000Z

350

Rooftop Unit Network Project  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Network Project Network Project RTU Network Project Michael Brambley, Ph.D. Pacific Northwest National Laboratory Michael.Brambley@pnnl.gov (509) 375-6875 April 4, 2013 2 | Building Technologies Office eere.energy.gov * Packaged air conditioners and heat pumps (RTUs) are used in about 58% of all cooled commercial buildings, serving about 69% of the cooled commercial building floor space (EIA 2003) - Navigant estimates packaged A/C uses 0.9 quads of electricity for cooling annually and

351

Virtual Circuits (OSCARS)  

NLE Websites -- All DOE Office Websites (Extended Search)

Virtual Circuits (OSCARS) Virtual Circuits (OSCARS) Services Overview ECS Audio/Video Conferencing Fasterdata IPv6 Network Network Performance Tools (perfSONAR) ESnet OID Registry PGP Key Service Virtual Circuits (OSCARS) OSCARS Case Study Documentation Links Hardware Requirements DOE Grids Service Transition Contact Us Technical Assistance: 1 800-33-ESnet (Inside the US) 1 800-333-7638 (Inside the US) 1 510-486-7600 (Globally) 1 510-486-7607 (Globally) Report Network Problems: trouble@es.net Provide Web Site Feedback: info@es.net Virtual Circuits (OSCARS) ESnet's On-Demand Secure Circuits and Advance Reservation System (OSCARS) provides multi-domain, high-bandwidth virtual circuits that guarantee end-to-end network data transfer performance. Originally a research concept, OSCARS has grown into a robust production service. Currently

352

Network design and defence  

E-Print Network (OSTI)

Goyal (2007), Jackson (2008) and Vega-Redondo (2007).3 A key issue is the robustness of networks to different types of shocks natural and man made. This subject is relatively little studied. The contribution of our paper is to build on a classical... by the Designer must be connected. Observe that connectedness of the residual network can be guaranteed by a star network with 1 unit of defence assigned to the centre. This protected network has minimal number of links across all connected net- works and minimal...

Dziubi?ski, Marcin; Goyal, Sanjeev

2013-01-10T23:59:59.000Z

353

Modeling Mine Mesh Networks  

Science Conference Proceedings (OSTI)

... is required beyond the powered UHF mesh ... OPNET simulation tool will be network performance metrics ... throughput, delay, and packet loss ratio for ...

2010-10-05T23:59:59.000Z

354

Smart Grid Communication Networks  

Science Conference Proceedings (OSTI)

... ITL staff led the evaluation of networking technologies for Smart Grid communication applications. ITL's staff lead the SGIP Priority Action Plans ...

2013-04-29T23:59:59.000Z

355

Software Defined Networking for  

NLE Websites -- All DOE Office Websites (Extended Search)

over optical, routed or switched network elements * OpenFlow support needed on edge devices only, core stays same * Programmability for applications * Allows end-sites to...

356

ASCR Science Network Requirements  

E-Print Network (OSTI)

ASCR Program Office) Brent Draney, NERSC (Networking andSecurity) Richard Gerber, NERSC (User Services) Mike Helm,DOEGrids/PKI) Jason Hick, NERSC (Storage) Susan Hicks,

Dart, Eli

2010-01-01T23:59:59.000Z

357

ASCR Science Network Requirements  

E-Print Network (OSTI)

Office of Advanced Scientific Computing Research NetworkOffice of Advanced Scientific Computing Research, DOE OfficeOffice of Advanced Scientific Computing Research (ASCR).

Dart, Eli

2010-01-01T23:59:59.000Z

358

Green Networking Initiative  

NLE Websites -- All DOE Office Websites (Extended Search)

voracious. Supercomputers and data centers are on track to reducing power consumption, but shrinking the carbon footprint of the decentralized networks that connect them...

359

Mission Critical Networking  

SciTech Connect

Mission-Critical Networking (MCN) refers to networking for application domains where life or livelihood may be at risk. Typical application domains for MCN include critical infrastructure protection and operation, emergency and crisis intervention, healthcare services, and military operations. Such networking is essential for safety, security and economic vitality in our complex world characterized by uncertainty, heterogeneity, emergent behaviors, and the need for reliable and timely response. MCN comprise networking technology, infrastructures and services that may alleviate the risk and directly enable and enhance connectivity for mission-critical information exchange among diverse, widely dispersed, mobile users.

Eltoweissy, Mohamed Y.; Du, David H.C.; Gerla, Mario; Giordano, Silvia; Gouda, Mohamed; Schulzrinne, Henning; Youssef, Moustafa

2010-06-01T23:59:59.000Z

360

Computations within Bayesian networks.  

E-Print Network (OSTI)

??A Bayesian network is a probabilistic model that relates random variables and their conditional dependency statements. The model uses a directed acyclical graph (DAG) that (more)

Holland, Jeffrey David

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "network esnet bes" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

Legacy - Neural Networks  

Science Conference Proceedings (OSTI)

... "Massively Parallel Implementation of Neural Network Architectures," In Proceedings of the SPIE, volume 1452, pages 532-543, Feb. 25 - Mar. ...

2011-05-12T23:59:59.000Z

362

BER Science Network Requirements  

E-Print Network (OSTI)

Department of Energy, Office of Science, Office of Advancedthe Directors of the Office of Science, Office of AdvancedResearch, DOE Office of Science Energy Sciences Network

Dart, Eli

2011-01-01T23:59:59.000Z

363

On the capacity of network coding for random networks  

E-Print Network (OSTI)

d ) , the network NC coding capacity C s;t ; ;t > (1 0 )8, AUGUST 2005 On the Capacity of Network Coding for Randomthat the network coding capacity concentrates around the

Ramamoorthy, A; Shi, J; Wesel, R D

2005-01-01T23:59:59.000Z

364

PowerPoint Presentation  

NLE Websites -- All DOE Office Websites (Extended Search)

Hot Interconnects, August 18, 2005, Palo Alto, California Hot Interconnects, August 18, 2005, Palo Alto, California -1- IEEE Hot Interconnects August 18, 2005 ESnet On-Demand Secure Circuits and Advance Reservation System (OSCARS) Chin Guok (chin@es.net) IEEE Hot Interconnects, August 18, 2005, Palo Alto, California -2- OSCARS: Guaranteed Bandwidth Service QoS - New Network Service * New network services are critical for ESnet to meet the needs of large-scale science like the LHC. * Most important new network service is dynamically provisioned virtual circuits that provide:

365

Evolving neural networks  

Science Conference Proceedings (OSTI)

Neuroevolution, i.e. evolution of artificial neural networks, has recently emerged as a powerful technique for solving challenging reinforcement learning problems. Compared to traditional (e.g. value-function based) methods, neuroevolution is especially ... Keywords: evolutionary computation, hyperneat, neat, neural networks, neuroevolution

Kenneth O. Stanley

2012-07-01T23:59:59.000Z

366

Neural networks in astronomy  

Science Conference Proceedings (OSTI)

In the last decade, the use of neural networks (NN) and of other soft computing methods has begun to spread also in the astronomical community which, due to the required accuracy of the measurements, is usually reluctant to use automatic tools to perform ... Keywords: Bayesian learning, MLP, MUSIC, PCA, astronomy, data mining, neural networks, self-organizing maps

Roberto Tagliaferri; Giuseppe Longo; Leopoldo Milano; Fausto Acernese; Fabrizio Barone; Angelo Ciaramella; Rosario De Rosa; Ciro Donalek; Antonio Eleuteri; Giancarlo Raiconi; Salvatore Sessa; Antonino Staiano; Alfredo Volpicelli

2003-04-01T23:59:59.000Z

367

Miniaturized wireless sensor network  

E-Print Network (OSTI)

This paper addresses an overview of the wireless sensor networks. It is shown that MEMS/NEMS technologies and SIP concept are well suited for advanced architectures. It is also shown analog architectures have to be compatible with digital signal techniques to develop smart network of microsystem.

Lecointre, Aubin; Dubuc, David; Katia, Grenier; Patrick, Pons; Aubert, Herv; Muller, A; Berthou, Pascal; Gayraud, Thierry; Plana, Robert

2010-01-01T23:59:59.000Z

368

Attacking the Kad network  

Science Conference Proceedings (OSTI)

The Kad network, an implementation of the Kademlia DHT protocol, supports the popular eDonkey peer-to-peer file sharing network and has over 1 million concurrent nodes. We describe several attacks that exploit critical design weaknesses in Kad to allow ... Keywords: Kad, P2P, attack, security

Peng Wang; James Tyra; Eric Chan-Tin; Tyson Malchow; Denis Foo Kune; Nicholas Hopper; Yongdae Kim

2008-09-01T23:59:59.000Z

369

Network Cabling Handbook  

Science Conference Proceedings (OSTI)

From the Publisher:This is a one-stop guide to both copper and fiber network cabling. Contains detailed coverage of monitoring software,connectivity troubleshooting,and management techniques. Master the art of wiring your network Plan,design,and build ...

Chris Clark

2001-11-01T23:59:59.000Z

370

Networked Aquatic Sampling System  

E-Print Network (OSTI)

system for field operation Wireless 802.11b based networkOperation Continuous real time data acquisition and logging of pertinent environmental parameters WirelessOperation Network of 10 static nodes and 1 robotic boat AODV based ad-hoc 802.11b wireless

2005-01-01T23:59:59.000Z

371

Spatial network modeling for databases  

Science Conference Proceedings (OSTI)

Spatial networks like transportation, power, and pipeline networks are a ubiquitous spatial concept in everyday life and play an important role for navigational and routing purposes. Database support for large spatial networks in order to represent, ...

Virupaksha Kanjilal; Markus Schneider

2011-03-01T23:59:59.000Z

372

Measuring network security using dynamic bayesian network  

Science Conference Proceedings (OSTI)

Given the increasing dependence of our societies on networked information systems, the overall security of these systems should be measured and improved. Existing security metrics have generally focused on measuring individual vulnerabilities without ... Keywords: attack graph, intrusion detection, security, security metric

Marcel Frigault; Lingyu Wang; Anoop Singhal; Sushil Jajodia

2008-10-01T23:59:59.000Z

373

Factory Equipment Network Testing Framework  

Science Conference Proceedings (OSTI)

... and analyses for industrial networks that can provide figures of merit for real-time networking properties, similar to vehicle fuel economy. ...

2013-01-04T23:59:59.000Z

374

Siphons in Chemical Reaction Networks  

E-Print Network (OSTI)

credited. Siphons in Chemical Reaction Networks Referencesfor a class of nonlinear chemical equations. SIAM J. Appl.to persistence analysis in chemical reaction networks. In:

Shiu, Anne; Sturmfels, Bernd

2010-01-01T23:59:59.000Z

375

Mobility in Wireless Sensor Networks  

E-Print Network (OSTI)

the 802.15.4 radio (for wireless operation) as well as thewireless sensor network protocol, significant power can be saved during network operations.

Mehta, Ankur Mukesh

2012-01-01T23:59:59.000Z

376

Comparative analysis of collaboration networks  

SciTech Connect

In this paper we carry out a comparative analysis of the word network as the collaboration network based on the novel by M. Bulgakov 'Master and Margarita', the synonym network of the Russian language as well as the Russian movie actor network. We have constructed one-mode projections of these networks, defined degree distributions for them and have calculated main characteristics. In the paper a generation algorithm of collaboration networks has been offered which allows one to generate networks statistically equivalent to the studied ones. It lets us reveal a structural correlation between word network, synonym network and movie actor network. We show that the degree distributions of all analyzable networks are described by the distribution of q-type.

Progulova, Tatiana; Gadjiev, Bahruz [International University for Nature, Society and Man, 19 Universitetskaya Street, Dubna, 141980 (Russian Federation)

2011-03-14T23:59:59.000Z

377

Home Network Security  

E-Print Network (OSTI)

Home computers that are connected to the Internet are under attack and need to be secured. That process is relatively well understood, even though we do not have perfect solutions today and probably never will. Meanwhile, however, the home computing environment is evolving into a home network of multiple devices, which will also need to be secured. We have little experience with these new home networks and much research needs to be done in this area. This paper gives a view of the requirements and some of the techniques available for securing home networks.

Technology Journal Interoperable; Carl M. Ellison; Corporate Technology Group; Intel Corporation

2002-01-01T23:59:59.000Z

378

Networked computing in wireless sensor networks for structural health monitoring  

Science Conference Proceedings (OSTI)

This paper studies the problem of distributed computation over a network of wireless sensors. While this problem applies to many emerging applications, to keep our discussion concrete, we will focus on sensor networks used for structural health monitoring. ... Keywords: clustering, degree-constrained data collection tree, networked computing, singular value decomposition (SVD), structural health monitoring (SHM), wireless sensor networks (WSNs)

Apoorva Jindal; Mingyan Liu

2012-08-01T23:59:59.000Z

379

Adoption of Vehicular Ad Hoc Networking Protocols by Networked Robots  

Science Conference Proceedings (OSTI)

This paper focuses on the utilization of wireless networking in the robotics domain. Many researchers have already equipped their robots with wireless communication capabilities, stimulated by the observation that multi-robot systems tend to have several ... Keywords: Networked robot, Robotic ad hoc network, V2I, V2V, Vehicular ad hoc network, Wireless robot

Wim Vandenberghe; Ingrid Moerman; Piet Demeester

2012-06-01T23:59:59.000Z

380

Trends in the development of communication networks: Cognitive networks  

Science Conference Proceedings (OSTI)

One of the main challenges already faced by communication networks is the efficient management of increasing complexity. The recently proposed concept of cognitive network appears as a candidate that can address this issue. In this paper, we survey the ... Keywords: Autonomic networks, Cognition loop, Cognitive networks, Cross-layer, Knowledge representation, Learning, OSI, Protocol stack, Reasoning, Self-aware

Carolina Fortuna; Mihael Mohorcic

2009-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "network esnet bes" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

NP Science Network Requirements  

E-Print Network (OSTI)

Process of Science Data Set Size ? Centralized processing tomicro- DSTs, reducing data-set size by a factor of five,Anticipated Network Needs Data Set Size Process of Science

Dart, Eli

2013-01-01T23:59:59.000Z

382

Wireless Sensor Network Fundamentals  

NLE Websites -- All DOE Office Websites (Extended Search)

Wireless Sensor Network Fundamentals Wireless Sensor Network Fundamentals Speaker(s): Steven Lanzisera Date: February 8, 2010 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Kevin Kircher Wireless sensor networks have been promising to provide easy data collection and control capability to applications ranging from scientific data collection, disaster recover, national security, and more. The user experience, however, has been filled with confusing terminology, complicated systems, and a lack of interoperability between vendors. Users with a background in the technology and fundamentals are better able to understand system capabilities, make decisions, and end up with a network that meets their needs. Although a sufficient coverage of this topic is at least a semester course, the goal of this talk is to give a brief

383

Network Invariants in Action  

Science Conference Proceedings (OSTI)

The paper presents the method of network invariants for verifying a wide spectrum of LTL properties, including liveness, of parameterized systems. This method can be applied to establish the validity of the property over a system S(n) for ...

Yonit Kesten; Amir Pnueli; Elad Shahar; Lenore D. Zuck

2002-08-01T23:59:59.000Z

384

The expandable network disk  

E-Print Network (OSTI)

This thesis presents a virtual disk cluster called END, the Expandable Network Disk. END aggregates storage on a cluster of servers into a single virtual disk. END's main goals are to offer good performance during normal ...

Muthitacharoen, Athicha, 1976-

2008-01-01T23:59:59.000Z

385

Long Thin Networks  

Science Conference Proceedings (OSTI)

In view of the unpredictable and problematic nature of long thin networks (for example, wireless WANs), arriving at an optimized transport is a daunting task. We have reviewed the existing proposals along with future research items. Based on this overview, ...

G. Montenegro; S. Dawkins; M. Kojo; V. Magret; N. Vaidya

2000-01-01T23:59:59.000Z

386

Mobility in wireless networks  

Science Conference Proceedings (OSTI)

This article surveys mobility patterns and mobility models for wirelss networks. Mobility patterns are classified into the following types: pedestrians, vehicles, aerial, dynamic medium, robot, and outer space motion. We present the characteristics of ...

Christian Schindelhauer

2006-01-01T23:59:59.000Z

387

Self modelling knowledge networks  

Science Conference Proceedings (OSTI)

What the scope of knowledge management (KM) is concerned, the focus of attention is shifting towards inter-organisational aspects resulting in new requirements for the KM process. This paper introduces the concept of self modelling knowledge networks ...

Volker Derballa; Antonia Albani

2005-10-01T23:59:59.000Z

388

Search using social networks  

E-Print Network (OSTI)

In this thesis, we present an approach to the problem of personalized web search which makes use of the searcher's social network, in addition to the hyper-link based score used in most search engines. This combination of ...

Ammar, Ammar (Ammar T.)

2010-01-01T23:59:59.000Z

389

Network Requirements Reviews  

NLE Websites -- All DOE Office Websites (Extended Search)

narrative text describing the science, a case study contains a table containing a distillation of the network-centric aspects of the science. In particular, a case study document...

390

Securing vehicular ad hoc networks  

Science Conference Proceedings (OSTI)

Vehicular networks are very likely to be deployed in the coming years and thus become the most relevant form of mobile ad hoc networks. In this paper, we address the security of these networks. We provide a detailed threat analysis and devise an appropriate ... Keywords: Vehicular ad hoc networks, security, wireless

Maxim Raya; Jean-Pierre Hubaux

2007-01-01T23:59:59.000Z

391

Set separation Neural Network paradigms  

E-Print Network (OSTI)

for forecasting financial time series 29 f´evrier 2008 Designing a neural network for forecasting financial time for forecasting financial time series #12;Neural Net The inputs Set separation Neural Network paradigms From network for forecasting financial time series #12;Neural Net The inputs Set separation Neural Network

Chen, Yiling

392

Urban Network Practices  

Science Conference Proceedings (OSTI)

This report describes the findings of an underground distribution practices immersion conducted by the Electric Power Research Institute (EPRI) with National Grid. This immersion was conducted as part of a multiyear effort by EPRI to identify noteworthy practices in managing urban network systems. National Grid's U.S. operations, headquartered in Waltham, Massachusetts, serves customers through secondary network systems in multiple cities in New York and New England. This report profiles the practices (p...

2012-02-16T23:59:59.000Z

393

Securing Cell Relay Networks  

Science Conference Proceedings (OSTI)

A cellular relay or cell relay (CR) is a device used to relay information from one point in a network to another through a wireless medium using spectrum from the cellular band. One common use of CRs in the United States is to provide wireless devices with access to higher bandwidth or broadband access points. Examples include advanced metering infrastructure (AMI) mesh networks that use meter-based transmitters and receivers to provide communications between meters and from ...

2013-12-20T23:59:59.000Z

394

The Magellan Final Report on Cloud Computing  

E-Print Network (OSTI)

NERSC partnered with ESnet and was able to provisionWestin Center Building ESnet provided ALU 7750-SR w/ 10Managed by SCinet 100G ESnet 100G 2x10 4x10 ESnet Internet2

Coghlan, Susan

2013-01-01T23:59:59.000Z

395

Magellan at NERSC Progress Report for June 2010  

E-Print Network (OSTI)

NERSC in partnership with ESNet was able to provisionof Magellan to JGI. Using ESnets OSCARS [6] and the Scienceare adjacent on the ESnet Bay Area MAN (Metropolitan Area

Broughton, Richard Canon, Lavanya Ramakrishnan, Brent Draney, Jeff

2011-01-01T23:59:59.000Z

396

Presentations  

NLE Websites -- All DOE Office Websites (Extended Search)

A User Driven Dynamic Circuit Network Implementation A User Driven Dynamic Circuit Network Implementation November 30, 2008 | Author(s): Evangelos Chaniotakis | Download File: oscars-danms2008-v1.ppt | ppt | 1.5 MB DANMS, Nov 30 2008, New Orleans, LA ESnet On-Demand Secure Circuits and Advance Reservation System (OSCARS) 031406 March 14, 2006 | Author(s): Chin Guok | Download File: oscars-uclp-20060316.pdf | pdf | 102 KB UCLPv2 Workshop 2; March 14-16, 2006 ESnet On-Demand Secure Circuits and Advance Reservation System (OSCARS) 051506 May 15, 2006 | Author(s): Chin Guok, David Robertson | Download File: oscars-quilt-20060516.pdf | pdf | 114 KB QUILT; May 15-16, 2006 ESnet On-Demand Secure Circuits and Advance Reservation System (OSCARS) 081805 August 18, 2005 | Download File: oscars-ieee-20050818.pdf | pdf | 152 KB

397

Terms and Conditions  

NLE Websites -- All DOE Office Websites (Extended Search)

Terms and Conditions Terms and Conditions R&D Overview 100G Testbed Testbed Description Testbed Results Current Testbed Research Proposal Process Terms and Conditions Virtual Circuits (OSCARS) Performance (perfSONAR) Tools Development Green Networking Authentication & Trust Federation (ATF) Partnerships Contact Us Technical Assistance: 1 800-33-ESnet (Inside the US) 1 800-333-7638 (Inside the US) 1 510-486-7600 (Globally) 1 510-486-7607 (Globally) Report Network Problems: trouble@es.net Provide Web Site Feedback: info@es.net Terms and Conditions Researchers must provide ESnet copies of any articles, presentations, and publications based on testbed research for posting on the ESnet Testbed web site. All publications based on work conducted on the testbed must include the following statement:

398

Architecture for mobile Heterogeneous Multi Domain networks  

Science Conference Proceedings (OSTI)

Multi domain networks can be used in several scenarios including military, enterprize networks, emergency networks and many other cases. In such networks, each domain might be under its own administration. Therefore, the cooperation among domains is ... Keywords: Network architecture, heterogeneous networks, mobility, policy based networking

Arjan Durresi; Ping Zhang; Mimoza Durresi; Leonard Barolli

2010-01-01T23:59:59.000Z

399

Digital Networks: Electronics and Beyond  

NLE Websites -- All DOE Office Websites (Extended Search)

Digital Networks: Electronics and Beyond Digital Networks: Electronics and Beyond Speaker(s): Bruce Nordman Date: January 9, 2009 - 12:00pm Location: 90-3122 For the last five years or so, I have made digital networks my prime research focus. For the most part, this has concentrated on IT networks as with PCs and servers, and the network interfaces and network devices that enable it. I will outline how to think about networks as they collide with energy use and efficiency, and report on the several projects we have underway in this area. Networks have a unique relationship to industry standards and I will outline some of the challenges and opportunities this brings. In addition, we have the looming prospect of the networking of many non-electronic loads in buildings (particularly lighting and climate

400

Network sensitivity to geographical configuration  

E-Print Network (OSTI)

Gravitational wave astronomy will require the coordinated analysis of data from the global network of gravitational wave observatories. Questions of how to optimally configure the global network arise in this context. We have elsewhere proposed a formalism which is employed here to compare different configurations of the network, using both the coincident network analysis method and the coherent network analysis method. We have constructed a network model to compute a figure-of-merit based on the detection rate for a population of standard-candle binary inspirals. We find that this measure of network quality is very sensitive to the geographic location of component detectors under a coincident network analysis, but comparatively insensitive under a coherent network analysis.

Antony C Searle; Susan M Scott; David E McClelland

2001-10-10T23:59:59.000Z

Note: This page contains sample records for the topic "network esnet bes" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

ESnet 4 Helps Researchers Seeking the Origins of Matter | U.S...  

Office of Science (SC) Website

for Teachers and Scientists Small Business Innovation Research and Small Business Technology Transfer Project Assessment Laboratories Ames Laboratory Argonne National...

402

Microsoft Word - ESnet SRS SC12 paper camera ready.docx  

NLE Websites -- All DOE Office Websites (Extended Search)

instruments and high performance computing centers. Large-scale instruments like Large Hadron Collider or Square Kilometer Array 1 and simulations produce petabytes of data that...

403

Microsoft Word - ESnetServiceLevels-V4.0.doc  

NLE Websites -- All DOE Office Websites (Extended Search)

a disaster recovery strategy for non-stop operation. * Collaboration services and Grid middleware supporting collaborative science o Federated trust services with science...

404

Marine Planning Portal Network | Data.gov  

NLE Websites -- All DOE Office Websites (Extended Search)

Network Ocean Data Tools Technical Guide Map Gallery Regional Planning Feedback Ocean You are here Data.gov Communities Ocean Marine Planning Portal Network A Network of...

405

HEP Science Network Requirements--Final Report  

E-Print Network (OSTI)

Networking) Les Cottrell, SLAC (Networking) Glen Crawford,Networking) Richard Mount, SLAC (HEP) Thomas Ndousse-Fetter,36 SLAC Experimental HEP

Dart Ed, Eli

2010-01-01T23:59:59.000Z

406

Concerted Flows: Infrastructure for Terabits Data Networks |...  

NLE Websites -- All DOE Office Websites (Extended Search)

Concerted Flows: Infrastructure for Terabits Data Networks High-performance application use of emerging 100G networks and future terabit networks will require substantial and...

407

Home Network Technologies and Automating Demand Response  

E-Print Network (OSTI)

networks_in_the_home_the_new_growth_market.htm [12] NationalHome Network Technologies and Automating Demand Responsethe University of California. Home Network Technologies and

McParland, Charles

2010-01-01T23:59:59.000Z

408

Computers and Computer Networks  

NLE Websites -- All DOE Office Websites (Extended Search)

and Computer Networks and Computer Networks Computer Science documentation, etc. Computer Science Research and Services at the Lab Super Computing Computer Graphics Computer & Internet information via yahoo.com, categorized by subject Perl UNIX documentation Shareware sites MBONE and Videoconferencing Computer Networks and related documentation Computer Documentation World Wide Web UNIX Documentation TeX, LaTeX FAQ, documents, archives, etc. MacInTouch -- current Macintosh information, from vendor & others Shareware sites The Free On-line Dictionary of Computing PDS: The Performance Database Server of Computer Benchmark Return to Top Return to Top Newsgroups, USEnet, and Mailing Lists Usenet (Internet News Groups) Mailing list software & information Return to Top Return to Top

409

Flexible application driven network striping over Wireless Wide Area Networks  

E-Print Network (OSTI)

Inverse multiplexing, or network striping, allows the construction of a high-bandwidth virtual channel from a collection of multiple low-bandwidth network channels. Striping systems usually employ a packet scheduling policy ...

Qureshi, Asfandyar

2005-01-01T23:59:59.000Z

410

The ATM Forums private network/network interface  

Science Conference Proceedings (OSTI)

The ATM Forum completed the first version of its private network/network interface (PNNI) in March 1996 and many ATM switch manufacturers are now offering early implementations. PNNI offers a different type of internetwork or internodal interface from ...

J. M. Scott; I. G. Jones

1998-04-01T23:59:59.000Z

411

Network scheduling for data archiving applications in sensor networks  

Science Conference Proceedings (OSTI)

Since data archiving in sensor networks is a communication intensive application, a careful power management of communication is of critical importance for such networks. An example is FPS, an adaptive power scheduling algorithm that combines slotted ...

Yong Yao; S. M. Nazrul Alam; Johannes Gehrke; Sergio D. Servetto

2006-09-01T23:59:59.000Z

412

Polynomial Time Construction Algorithm of BCNC for Network Coding in Cyclic Networks  

Science Conference Proceedings (OSTI)

Network coding in cyclic networks meets more problems than in acyclic networks. Recently, S.-Y.R.Li et al.proposed a framework of convolutional network coding (CNC) as well as its four properties for cyclic networks with theoretic fundamentals of discrete ... Keywords: network coding, convolutional network coding, cyclic networks

Jiaqing Huang; Liang Wang; Wenqing Cheng; Hui Li

2009-06-01T23:59:59.000Z

413

CS 535- Wireless Network Security  

E-Print Network (OSTI)

This is a 3-credit course that focuses on security and privacy issues in wireless networks and systems. Generally the security of MAC and especially upper layers are considered in this class. This course is not intended to cover cryptography in detail, but an overview of cryptography will be given at the beginning of the course so that the students who do not know cryptography would have sufficient information to understand the rest of the course. Although the catalogue information for this course (see below) several sub areas of wireless network security, in this course we will focus on ad hoc and sensor network security. Catalogue Data: This course covers security and privacy issues in wireless networks and systems, such as cellular networks, wireless LANs, wireless PANs, mobile ad hoc networks, vehicular networks, satellite networks, wireless mesh networks, sensor networks and RFID systems. Security problems of MAC and especially upper layers will be emphasized. Attacks and proposed solutions at several layers, authentication, key distribution and key management, secure routing, selfish and malicious behaviors, and secure group communication are analyzed for applicable wireless network types. A short overview of cryptography and wireless networking principles will be given at the beginning of the course. Prerequisite: Formally there is no prerequisite for this course, but students are expected to come with undergrad level computer networks background. Moreover, computer-programming expertise is necessary. Instructor: Schedule:

Albert Levi

2008-01-01T23:59:59.000Z

414

Attacking Automatic Wireless Network Selection  

E-Print Network (OSTI)

Wireless 802.11 networking is becoming so prevalent that many users have become accustomed to having available wireless networks in their workplace, home, and many public places such as airports and coffee shops. Modern client operating systems implement automatic wireless network discovery and known network identification to facilitate wireless networking for the end-user. In order to implement known network discovery, client operating systems remember past wireless networks that have been joined and automatically look for these networks (referred to as Preferred or Trusted Networks) whenever the wireless network adapter is enabled. By examining these implementations in detail, we have discovered previously undisclosed vulnerabilities in the implementation of these algorithms under the two most prevalent client operating systems, Windows XP and MacOS X. With custom base station software, an attacker may cause clients within wireless radio range to associate to the attackers wireless network without user interaction or notification. This will occur even if the user has never connected to a wireless network before or they have an empty Preferred/Trusted Networks List. We describe these vulnerabilities as well as their implementation and impact. 1

Dino A. Dai Zovi; Shane A. Macaulay

2005-01-01T23:59:59.000Z

415

Community-based relational Markov networks in complex networks  

Science Conference Proceedings (OSTI)

Relational Markov networks (RMNs) are a joint probabilistic model for an entire collection of related entities. The model is able to mine relational data effectively by integrating information from content attributes of individual entities as well as ... Keywords: community structure, complex networks, graphical models, maximum pseudolikelihood estimation, relational Markov networks

Huaiyu Wan; Youfang Lin; Caiyan Jia; Houkuan Huang

2011-10-01T23:59:59.000Z

416

Wireless SensorWireless Sensor NetworkNetwork  

E-Print Network (OSTI)

consumption related to ICT varying from 2% to 10% of the worldwide power consumption [5]. It is worth consumption in network by 2015 [10]. In the current telecommunications networks, the vast majority, modems, line cards, etc.), a direct estimation of network equipment power consumption is notoriously

Kabara, Joseph

417

Sleep scheduling for wireless sensor networks via network flow model  

Science Conference Proceedings (OSTI)

The pervasiveness and operational autonomy of mesh-based wireless sensor networks (WSNs) make them an ideal candidate in offering sustained monitoring functions at reasonable cost over a wide area. There has been a general consensus within the research ... Keywords: Cross-layer design, Integer linear programming, Network flow model, Sleep scheduling, Wireless sensor networks

Rick W. Ha; Pin-Han Ho; X. Sherman Shen; Junshan Zhang

2006-08-01T23:59:59.000Z

418

On optical communications networks and wideband network architecture  

Science Conference Proceedings (OSTI)

The optical networks of today are just beginning to realize their abilities to carry a tremendous amount of information in the forms of voice, data and video signals on a single optical fiber. However, many challenges lay ahead as designers and system ... Keywords: Optical networks, Wave division multiplexing and optical switching, Wideband network architecture

K Makki; J Broussard; N Pissinou

2000-05-01T23:59:59.000Z

419

Virtual urban traffic network simulator  

E-Print Network (OSTI)

In this project, I designed and implemented a virtual urban traffic network simulator. The simulator serves as a testbed for human-subject experiments to determine driver behavior in road networks and also as a platform ...

Uh, Jason (Jason J.)

2011-01-01T23:59:59.000Z

420

Sensing and modeling human networks  

E-Print Network (OSTI)

Knowledge of how groups of people interact is important in many disciplines, e.g. organizational behavior, social network analysis, knowledge management and ubiquitous computing. Existing studies of social network interactions ...

Choudhury, Tanzeem Khalid, 1975-

2004-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "network esnet bes" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


421

Network Access to Multimedia Information  

Science Conference Proceedings (OSTI)

This report summarises the requirements of research and academic network users for network access to multimedia information. It does this by investigating some of the projects planned or currently underway in the community. Existing information systems ...

C. Adie

1994-05-01T23:59:59.000Z

422

SG Network System Requirements Specification  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

SG Network System Requirements Specification SG Network System Requirements Specification Interim Release 3 5/17/2010 - 2 - Table of Contents Document History ....................................................................................................................................... - 3 - Revision History .......................................................................................................................................... - 3 - Preface........................................................................................................................................................ - 4 - Authors........................................................................................................................................................ - 6 -

423

Network computing : limits and achievability  

E-Print Network (OSTI)

insufficiency of linear network cod- ing. 2009. [88] R.and K. Zeger. Network cod- ing for computing. In Allertonto target function f is C cod (N , f ) = sup k : ? (k, n)

Karamchandani, Nikhil

2011-01-01T23:59:59.000Z

424

Broadcasting in unreliable radio networks  

E-Print Network (OSTI)

Practitioners agree that unreliable links, which sometimes deliver messages and sometime do not, are an important characteristic of wireless networks. In contrast, most theoretical models of radio networks fix a static set ...

Kuhn, Fabian

425

Broadcasting in Unreliable Radio Networks  

E-Print Network (OSTI)

Practitioners agree that unreliable links, which fluctuate between working and not working, are an important characteristic of wireless networks. In contrast, most theoretical models of radio networks fix a static set of ...

Oshman, Rotem

2010-06-08T23:59:59.000Z

426

Sharing the data center network  

Science Conference Proceedings (OSTI)

While today's data centers are multiplexed across many non-cooperating applications, they lack effective means to share their network. Relying on TCP's congestion control, as we show from experiments in production data centers, opens up the network to ...

Alan Shieh; Srikanth Kandula; Albert Greenberg; Changhoon Kim; Bikas Saha

2011-03-01T23:59:59.000Z

427

Reliable networks with unreliable sensors  

Science Conference Proceedings (OSTI)

Wireless sensor networks (WSNs) deployed in hostile environments suffer from a high rate of node failure. We investigate the effect of such failure rate on network connectivity. We provide a formal analysis that establishes the relationship between node ...

Srikanth Sastry; Tsvetomira Radeva; Jianer Chen; Jennifer L. Welch

2011-01-01T23:59:59.000Z

428

Tutorial on biological networks  

Science Conference Proceedings (OSTI)

Understanding how the functioning of a biological system emerges from the interactions among its components is a long-standing goal of network science. Fomented by developments in high-throughput technologies to characterize biomolecules and their interactions, ... Keywords: Biological Data Mining, Data Mining Software Tools, Science and Technology

Francisco G. Vital-Lopez; Vesna Memievi?; Bhaskar Dutta

2012-07-01T23:59:59.000Z

429

Social network probability mechanics  

Science Conference Proceedings (OSTI)

A new model for a random graph is proposed that can be constructed from empirical data and has some desirable properties compared to scale-free graphs [1, 2, 3] for certain applications. The newly proposed random graph maintains the same "small-world" ... Keywords: change detection, random graph, small-world, social networks

Ian A. Mcculloh; Joshua Lospinoso; Kathleen Carley

2007-12-01T23:59:59.000Z

430

Microsystem process networks  

DOE Patents (OSTI)

Various aspects and applications of microsystem process networks are described. The design of many types of Microsystems can be improved by ortho-cascading mass, heat, or other unit process operations. Microsystems having energetically efficient microchannel heat exchangers are also described. Detailed descriptions of numerous design features in microcomponent systems are also provided.

Wegeng, Robert S. (Richland, WA); TeGrotenhuis, Ward E. (Kennewick, WA); Whyatt, Greg A. (West Richland, WA)

2007-09-18T23:59:59.000Z

431

Microsystem process networks  

DOE Patents (OSTI)

Various aspects and applications or microsystem process networks are described. The design of many types of microsystems can be improved by ortho-cascading mass, heat, or other unit process operations. Microsystems having energetically efficient microchannel heat exchangers are also described. Detailed descriptions of numerous design features in microcomponent systems are also provided.

Wegeng, Robert S [Richland, WA; TeGrotenhuis, Ward E [Kennewick, WA; Whyatt, Greg A [West Richland, WA

2010-01-26T23:59:59.000Z

432

Microsystem process networks  

DOE Patents (OSTI)

Various aspects and applications of microsystem process networks are described. The design of many types of microsystems can be improved by ortho-cascading mass, heat, or other unit process operations. Microsystems having exergetically efficient microchannel heat exchangers are also described. Detailed descriptions of numerous design features in microcomponent systems are also provided.

Wegeng, Robert S. (Richland, WA); TeGrotenhuis, Ward E. (Kennewick, WA); Whyatt, Greg A. (West Richland, WA)

2006-10-24T23:59:59.000Z

433

Toward network data independence  

Science Conference Proceedings (OSTI)

A number of researchers have become interested in the design of global-scale networked systems and applications. Our thesis here is that the database community's principles and technologies have an important role to play in the design of these systems. ...

Joseph M. Hellerstein

2003-09-01T23:59:59.000Z

434

Transactional Network Platform: Applications  

Science Conference Proceedings (OSTI)

In FY13, Pacific Northwest National Laboratory (PNNL) with funding from the Department of Energys (DOEs) Building Technologies Office (BTO) designed, prototyped and tested a transactional network platform to support energy, operational and financial transactions between any networked entities (equipment, organizations, buildings, grid, etc.). Initially, in FY13, the concept demonstrated transactions between packaged rooftop air conditioners and heat pump units (RTUs) and the electric grid using applications or "agents" that reside on the platform, on the equipment, on a local building controller or in the Cloud. The transactional network project is a multi-lab effort with Oakridge National Laboratory (ORNL) and Lawrence Berkeley National Laboratory (LBNL) also contributing to the effort. PNNL coordinated the project and also was responsible for the development of the transactional network (TN) platform and three different applications associated with RTUs. This document describes two applications or "agents" in details, and also summarizes the platform. The TN platform details are described in another companion document.

Katipamula, Srinivas; Lutes, Robert G.; Ngo, Hung; Underhill, Ronald M.

2013-10-31T23:59:59.000Z

435

Production Network Supplier Characterization Project  

Science Conference Proceedings (OSTI)

... and compare energy and material efficiency across supply chain. No standard activities are presently identified for production network resilience ...

2012-05-29T23:59:59.000Z

436

Advanced Network Technologies Division Homepage  

Science Conference Proceedings (OSTI)

... network technologies, and develops, demonstrates, and ... project to develop measurement methodologies ... assist industry in developing standards for ...

2013-01-17T23:59:59.000Z

437

Multiple network interface core apparatus and method  

DOE Patents (OSTI)

A network interface controller and network interface control method comprising providing a single integrated circuit as a network interface controller and employing a plurality of network interface cores on the single integrated circuit.

Underwood, Keith D. (Albuquerque, NM); Hemmert, Karl Scott (Albuquerque, NM)

2011-04-26T23:59:59.000Z

438

Theorizing mobility in community networks  

Science Conference Proceedings (OSTI)

Community networks emerged in North America during the late 1970s and early 1980s. During the past three decades, paradigms for networked information, services, and collaboration as resources for community development have evolved in many respects. In ... Keywords: Community informatics, Community networks, Municipal wireless

John M. Carroll; Mary Beth Rosson

2008-12-01T23:59:59.000Z

439

Mobility Modeling for Personal Networks  

Science Conference Proceedings (OSTI)

A Personal Network (PN) is a user-centric design interconnecting numerous devices belonging to a user in different geographic locations, such as home, office, car, etc., to form a single global network to offer fully personalized services. In PNs devices ... Keywords: Mobility model, PN clustering protocol, PN mobility model, Personal Networks, Stability analysis

Yanying Gu; R. Venkatesha Prasad; Ignas Niemegeers

2011-05-01T23:59:59.000Z

440

Spatiotemporal multicast in sensor networks  

Science Conference Proceedings (OSTI)

Sensor networks often involve the monitoring of mobile phenomena. We believe this task can be facilitated by a spatiotemporal multicast protocol which we call "mobicast". Mobicast is a novel spatiotemporal multicast protocol that distributes a message ... Keywords: mobicast, network geometry, protocols, spatiotemporal multicast, wireless ad hoc networks

Qingfeng Huang; Chenyang Lu; Gruia-Catalin Roman

2003-11-01T23:59:59.000Z

Note: This page contains sample records for the topic "network esnet bes" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

Online social networks in economics  

Science Conference Proceedings (OSTI)

This paper describes how economists study social networks. While economists borrow from other fields like sociology or computer science, their approach of modeling of social networks is distinguished by the emphasis on the role of choices under constraints. ... Keywords: Economics, Information transmission, Social networks

Adalbert Mayer

2009-06-01T23:59:59.000Z

442

Security for wireless sensor networks  

Science Conference Proceedings (OSTI)

This chapter identifies the vulnerabilities associated with the operational paradigms currently employed by Wireless Sensor Networks. A survey of current WSN security research is presented. The security issues of Mobile Ad-Hoc Networks and infrastructure ... Keywords: WSN, security, sensor networks, wireless

Sasikanth Avancha; Jeffrey Undercoffer; Anupam Joshi; John Pinkston

2004-01-01T23:59:59.000Z

443

Stochastic hub and spoke networks  

E-Print Network (OSTI)

life to the early Roman water management and road network systems to modern day transportation systems and social networks such as Facebook and Twitter. The topic of this PhD thesis is an in-depth research study on a specific type of network system...

Hult, Edward Eric

2011-10-11T23:59:59.000Z

444

Social networking and scientific gateways  

Science Conference Proceedings (OSTI)

Online social networking has significantly increased in popularity over the past several years, with sites such as Facebook now boasting over 300 million members. Scientific gateways have much to gain by incorporating social networking functionality. ... Keywords: Elgg, Facebook, Ning, scientific gateways, social networking

Roger Curry; Cameron Kiddle; Rob Simmonds

2009-11-01T23:59:59.000Z

445

Body Area Networks: A Survey  

Science Conference Proceedings (OSTI)

Advances in wireless communication technologies, such as wearable and implantable biosensors, along with recent developments in the embedded computing area are enabling the design, development, and implementation of body area networks. This class of ... Keywords: body area networks, survey, wireless sensor networks

Min Chen; Sergio Gonzalez; Athanasios Vasilakos; Huasong Cao; Victor C. Leung

2011-04-01T23:59:59.000Z

446

VANS Role in the Advanced Network Infrastructure  

E-Print Network (OSTI)

network operations, maintenance, and management is becominggoing network management, maintenance, and modification. Innetwork monitoring management, and maintenance operations

Sprafkin, Jeffrey P.

1992-01-01T23:59:59.000Z

447

Renewable Energy Nongovernmental Organization Network (RENOVE...  

Open Energy Info (EERE)

Nongovernmental Organization Network (RENOVE) Jump to: navigation, search Name Renewable Energy Nongovernmental Organization Network (RENOVE) Place Brasilia, Brazil Phone number...

448

Instructions for Using Virtual Private Network  

Energy.gov (U.S. Department of Energy (DOE))

Virtual Private Network provides access to network drives, and is recommended for use only from a ETIS-provided laptop.

449

Multisensor Module for Networked Infomechanical Systems  

E-Print Network (OSTI)

Wireless networks links also include interfaces to distributed mote networks. Energy for MultiSensor node operation

Jason Gordon; Kris Porter; Lisa Shirachi; Rachel Scollans; Victor Chen; William Kaiser

2005-01-01T23:59:59.000Z

450

Advanced Network Toolkit for Assessments  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Network Toolkit for Assessments Network Toolkit for Assessments and Remote Mapping (ANTFARM) Uses existing information to passively map control systems networks and identify cyber security perimeters Control systems operators require a map of their energy control system network in order to identify its electronic security perimeter, critical to meeting the North American Electric Reliability Corporation's (NERC) Critical Infrastructure Protection (CIP) standards. However, purchasing active, online scanning tools specifically for network mapping can be costly, and these tools can disrupt control system function, causing system latency and possibly affecting power supply. The ANTFARM software tool enables system operators to remotely and

451

Teacher Resource Center: Teacher Networks  

NLE Websites -- All DOE Office Websites (Extended Search)

Teacher Networks Teacher Networks TRC Home TRC Fact Sheet Library Curricular Resources Science Fair Resources Bibliographies sciencelines The Best of sciencelines Archives Annotated List of URLs Catalog Teacher's Lounge Full Workshop Catalog Customized Workshops Scheduled Workshops Special Opportunities Teacher Networks Science Lab Fermilab Science Materials Samplers Order Form Science Safety Issues Tech Room Fermilab Web Resources Fermilab offers support to area networks where teachers share successful teaching materials and strategies. These groups meet monthly or bimonthly during the school year in local schools or colleges in order to share skills, teaching strategies and materials. Patterned after the Illinois State Physics Project, most of these networks are spin-offs of Fermilab's

452

Context-Dependent Network Agents  

Science Conference Proceedings (OSTI)

The design of dynamic networks and their embedded agents is one of the most challenging tasks in modern technology. This is particularly true of the U.S. power grid, the target application for the technology being developed by the Context-Dependent Network Agents (CDNA) Consortium in the EPRI/DOD Initiative on Complex Interactive Networks/Systems. This report develops the thesis that the agility and robustness of networks can be improved significantly by making some of the agents in the network more cont...

2000-05-23T23:59:59.000Z

453

On the availability of networks  

E-Print Network (OSTI)

In all networks that provide a service to the consumer, one of the main performance indicators is availability. The consumer, the user of the service, wants to be able to use the service for at least X % of the time. In order to be able to make such guarantees and commit to them in Service Level Agreements, network operators need to know their network availability. In this paper, we discuss how network availability can be algorithmically computed and we derive analytical expressions for several different network topologies. Finally we show how these results can be used to compute availability of real-life networks, such as SURFnet a high-speed Dutch national network.

Wenzhu Zou; Milena Janic; Robert Kooij; O Kuipers

2007-01-01T23:59:59.000Z

454

Towards a task oriented method for accessing network based services  

Science Conference Proceedings (OSTI)

Today's networked users are required to configure a number of different network settings on their computer in order to access specific network based services. For example, these users need to know whether to enable a Virtual Private Network (VPN) tunnel ... Keywords: borderless networks, flyout, identity based networking, network access, network security, networking, user credentials, user interface, virtual private network

Nils Pedersen; Paul Clark; Martine Freiberger

2010-11-01T23:59:59.000Z

455

Friends Troubleshooting Network: Towards  

E-Print Network (OSTI)

Content sharing is a popular usage of peerto -peer systems for its inherent scalability and low cost of maintenance. In this paper, we leverage this nature of peer-to-peer systems to tackle a new problem: automatic misconfiguration troubleshooting. In this setting, machine configurations from the peers are "shared" to diagnose the misconfigurations on a sick machine. A key challenge for such a troubleshooting system is privacy preservation. To this end, we construct Friends Troubleshooting Network (FTN), a peer-to-peer overlay network, where the links between peer machines reflect the friendship of their owners. To preserve privacy, we use historyless and futureless random-walk in the FTN, during which search along with parameter aggregation are carried out for the purpose of troubleshooting. Many of our techniques can be applied to other application scenarios that require privacy-preserving distributed computing and information aggregation. We have also identified a number of open challenges that remain to be addressed.

Privacy-Preserving Automatic Troubleshooting; Helen J. Wang; Yih-chun Hu; Chun Yuan; Zheng Zhang; Yi-min Wang; U. C. Berkeley

2004-01-01T23:59:59.000Z

456

Urban Network Practices  

Science Conference Proceedings (OSTI)

This report describes the findings of an underground distribution practices immersion conducted by the Electric Power Research Institute (EPRI) with Duke Energy Ohio. This immersion was conducted as part of a multiyear effort by EPRI to identify noteworthy practices in managing urban network systems. More specifically, this report profiles the practices (people, processes, and technology) in place at Duke Energy Ohio, a company serving the Cincinnati, Ohio, metropolitan area. In addition, this report hig...

2011-03-31T23:59:59.000Z

457

Urban Network System Practices  

Science Conference Proceedings (OSTI)

This report describes the results of Phase I of a multi-year effort to identify noteworthy practices in managing urban network systems. The report profiles the practices (people, processes, and technology) in place at two host utilities: Seattle City Light (SCL), a small (375,000 customers) municipal utility, and Consolidated Edison (Con Edison), a large (3.2 million customers) investor-owned utility. The results illustrate the similarities and differences between the two utilities, describe the challeng...

2008-07-23T23:59:59.000Z

458

Urban Network Systems Practices  

Science Conference Proceedings (OSTI)

This report describes the findings of an underground distribution practices immersion conducted by the Electric Power Research Institute (EPRI) with CenterPoint Energy (CenterPoint). This immersion was conducted as part of a multiyear effort by EPRI to identify noteworthy practices in managing urban network systems. The report profiles the practices (that is, people, processes, and technology) in place at CenterPoint, a company serving the Houston, Texas, metropolitan area. This report is one of a serie...

2010-12-02T23:59:59.000Z

459

Insecurity of Wireless Networks  

SciTech Connect

Wireless is a powerful core technology enabling our global digital infrastructure. Wi-Fi networks are susceptible to attacks on Wired Equivalency Privacy, Wi-Fi Protected Access (WPA), and WPA2. These attack signatures can be profiled into a system that defends against such attacks on the basis of their inherent characteristics. Wi-Fi is the standard protocol for wireless networks used extensively in US critical infrastructures. Since the Wired Equivalency Privacy (WEP) security protocol was broken, the Wi-Fi Protected Access (WPA) protocol has been considered the secure alternative compatible with hardware developed for WEP. However, in November 2008, researchers developed an attack on WPA, allowing forgery of Address Resolution Protocol (ARP) packets. Subsequent enhancements have enabled ARP poisoning, cryptosystem denial of service, and man-in-the-middle attacks. Open source systems and methods (OSSM) have long been used to secure networks against such attacks. This article reviews OSSMs and the results of experimental attacks on WPA. These experiments re-created current attacks in a laboratory setting, recording both wired and wireless traffic. The article discusses methods of intrusion detection and prevention in the context of cyber physical protection of critical Internet infrastructure. The basis for this research is a specialized (and undoubtedly incomplete) taxonomy of Wi-Fi attacks and their adaptations to existing countermeasures and protocol revisions. Ultimately, this article aims to provide a clearer picture of how and why wireless protection protocols and encryption must achieve a more scientific basis for detecting and preventing such attacks.

Sheldon, Frederick T [ORNL; Weber, John Mark [Dynetics, Inc.; Yoo, Seong-Moo [University of Alabama, Huntsville; Pan, W. David [University of Alabama, Huntsville

2012-01-01T23:59:59.000Z

460

Multi-Flip Networks: Extending Symmetric Networks to Real Parallelism  

E-Print Network (OSTI)

In general, neural networks are regarded as models for massively parallel computation. But very often, this parallelism is rather limited, especially when considering symmetric networks. For instance, Hopfield networks do not really compute in parallel as their updating algorithm always requires sequential execution. Nevertheless, Hopfield networks can be used as auto-associative memories, were shown to have an expressive power equivalent to propositional logic, and can be used to solve several combinatorial problems. Extensions like the Boltzmann Machine with continuous activation functions can additionally be used to solve optimization problems. But, all of these approaches suffer from one disadvantage, namely the impossibility to perform simultaneous computations of more than one unit, i.e. real parallelism. We describe a recurrent network corresponding to a symmetric network and introduce a method of parallel updating multiple units. We show how this may be extended to ...

Antje Strohmaier; Fachgebiet Intellektik; Fachbereich Informatik; Technische Hochschule Darmstadt

1996-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "network esnet bes" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


461

A virtual ad hoc network testbed  

Science Conference Proceedings (OSTI)

Testing of applications for ad hoc networks poses a special technical challenge due to the difficulty of conducting experiments in an ad hoc network environment at a scale larger than a few nodes. One approach is to conduct experiments in a testbed that ... Keywords: MANETs, SITL, VAN, emulation, hybrid testbed, mobile ad hoc networks, mobile networks, network management, shadow nodes, simulation, software-in-, the-loop, virtual ad hoc networks, virtual machines, virtual networks, virtualisation

Alex Poylisher; Constantin Serban; John Lee; Tai-Chuan Lu; Ritu Chadha; Cho-Yu Jason Chiang; Robert Orlando; Kimberly Jakubowski

2010-07-01T23:59:59.000Z

462

Multiple crossbar network: A switched high-speed local network  

SciTech Connect

The Multiple Crossbar Network (MCN) is a prototype High-Speed Local Network at the Los Alamos National Laboratory. It will interconnect supercomputers, network servers and workstations from various commercial vendors. The MCN can also serve as a backbone for message traffic between local area networks. The MCN is a switched local network of switching nodes called Cross-Point Stars (CPs). Hosts and CPs are connected by 800-Mbit/s (100-Mbyte/s) point-to-point ANSI High-Speed Channels. CPs include RISC-based network protocol processors called Crossbar Interfaces and a switching core called the Crossbar Switch. Protocols include physical, data link, intranet, and network access functionality. Various internet and transport protocols are intended to run above the MCN protocol suite. A network management and simple naming service is also included within the Los Alamos Network Architecture. Immediate applications include visualization. The MCN is intended to also serve as a framework for multicomputer applications. 36 refs., 10 figs.

Hoebelheinrich, R.; Thomsen, R.

1989-01-01T23:59:59.000Z

463

Restricted Bayesian Network Structure Learning  

E-Print Network (OSTI)

Learning the structure of a Bayesian network from data is a difficult problem, as its associated search space is exponentially large. As a consequence, researchers have studied learning Bayesian networks with a fixed structure, notably naive Bayesian networks and tree-augmented Bayesian networks. There is substantial evidence in the literature that the performance of such restricted networks can be surprisingly good. In this paper, we propose a restricted, polynomial time structure learning algorithm that is not as restrictive as both other approaches, and allows researchers to determine the right balance between performance in dealing with classification, as well as with respect to quality of the underlying probability distribution. The results obtained with this algorithm allows drawing some conclusions with regard to Bayesian-network structure learning in general.

Peter Lucas

2002-01-01T23:59:59.000Z

464

802.16 mesh networking  

E-Print Network (OSTI)

We present an overview of the 802.16 mesh protocol with a specific focus on the networking aspects of the protocol. We first review the 802.16 mesh Time Division Multiple Access (TDMA) technology, including state of the art research on scheduling algorithms required by the technology. We then propose an addressing assignment for the 802.16 mesh networks that allows the network layer to take advantage of Qualityof-Service (QoS) provided by the 802.16 mesh protocol. Our addressing scheme allows network layer management of QoS at the edge of the network, thus allowing for simplicity in design of mesh routers. We also overview the security infrastructure of 802.16 mesh networks and their flaws. We propose an end-to-end security scheme that simplifies the design of 802.16 mesh routers. 1

Petar Djukic; Shahrokh Valaee

2007-01-01T23:59:59.000Z

465

Radio Planning of Energy-Aware Cellular Networks  

E-Print Network (OSTI)

Nov 3, 2010 ... Keywords: green networking, wireless, network design, coverage, network management, energy saving. Category 1: Applications -- OR and...

466

JAMMING COMMUNICATION NETWORKS UNDER COMPLETE ...  

E-Print Network (OSTI)

Most papers on network interdiction are about preventing jam- ... cumulative energy received from all jamming devices exceeds some threshold value E: ?i.

467

Automating Network Security Assessment Automating ...  

Science Conference Proceedings (OSTI)

... Remediation is more involved 3. Whole network analysis is the next level ... $5K server (quad core, 32G RAM) Two weeks ...

2012-10-26T23:59:59.000Z

468

Advanced Credentialing for Trusted Networks  

back to their trust network profiles; and (4) an Internet accessible application that links member profiles to mobile applications. Advantages Hardware agnostic

469

United States National Seismographic Network  

SciTech Connect

The concept of a United States National Seismograph Network (USNSN) dates back nearly 30 years. The idea was revived several times over the decades. but never funded. For, example, a national network was proposed and discussed at great length in the so called Bolt Report (U. S. Earthquake Observatories: Recommendations for a New National Network, National Academy Press, Washington, D.C., 1980, 122 pp). From the beginning, a national network was viewed as augmenting and complementing the relatively dense, predominantly short-period vertical coverage of selected areas provided by the Regional Seismograph Networks (RSN`s) with a sparse, well-distributed network of three-component, observatory quality, permanent stations. The opportunity finally to begin developing a national network arose in 1986 with discussions between the US Geological Survey (USGS) and the Nuclear Regulatory Commission (NRC). Under the agreement signed in 1987, the NRC has provided $5 M in new funding for capital equipment (over the period 1987-1992) and the USGS has provided personnel and facilities to develop. deploy, and operate the network. Because the NRC funding was earmarked for the eastern United States, new USNSN station deployments are mostly east of 105{degree}W longitude while the network in the western United States is mostly made up of cooperating stations (stations meeting USNSN design goals, but deployed and operated by other institutions which provide a logical extension to the USNSN).

Buland, R. [Geological Survey, Denver, CO (United States)

1993-09-01T23:59:59.000Z

470

Green Power Network: News Archive  

NLE Websites -- All DOE Office Websites (Extended Search)

to main content U.S. Department of Energy Energy Efficiency and Renewable Energy Green Power Network About the GPN Green Power Markets Buying Green Power Onsite Renewable...

471

Electronics, Lighting and Networks Group  

NLE Websites -- All DOE Office Websites (Extended Search)

Electronics, Lighting and Networks Group NOTICE Due to the current lapse of federal funding, Berkeley Lab websites are accessible, but may not be updated until Congress approves...

472

Selfish Routing in Capacitated Networks  

E-Print Network (OSTI)

According to Wardrop's first principle, agents in a congested network choose their routes selfishly, a behavior that is captured by the Nash equilibrium of the underlying ...

Correa, Jose R.

2003-08-01T23:59:59.000Z

473

Networking RP @ DISI Fabrizio Granelli, Lab Coordinator  

E-Print Network (OSTI)

S and resource management Wireless mesh networks: WiFi, WiMax Cellular: transmission, protocols and network and management Distributed signaling Overlay to network mapping and cooperation Research Topics: Protocol Design-Layering Performance Improvement in Wireless Networks Congestion Control GRID & Overlay Networks Design of Wireless

Granelli, Fabrizio

474

Battery-aware scheduling inwireless mesh networks  

Science Conference Proceedings (OSTI)

Wireless mesh networks recently emerge as a flexible, low-cost and multipurpose networking platform with wired infrastructure connected to the Internet. A critical issue in mesh networks is to maintain network activities for a long lifetime with high ... Keywords: battery models, battery-awareness, energy efficiency, lifetime optimization, mesh routers, power scheduling, wireless mesh networks

Chi Ma; Zhenghao Zhang; Yuanyuan Yang

2008-04-01T23:59:59.000Z

475

Sensor network configuration under physical attacks  

Science Conference Proceedings (OSTI)

Sensor networks will typically operate in hostile environments, where they are susceptible to physical attacks resulting in physical node destructions. In this paper, we study impacts of physical attacks on network configuration w.r.t. lifetime. While ... Keywords: deployment, network configuration, network lifetime, physical attacks, physical node destruction, sensor networks

Xun Wang; Wenjun Gu; Kurt Schosek; Sriram Chellappan; Dong Xuan

2009-04-01T23:59:59.000Z

476

Transportation Networks and Location A Geometric Approach  

E-Print Network (OSTI)

Transportation Networks and Location A Geometric Approach Belén Palop1,2 1Departamento de March 2009 Florida State University #12;Belén Palop, UVa, SUNY Outline Transportation Network Model;Transportation Network Model Belén Palop, UVa, SUNY Outline Transportation Network Model Network placement

Palop del Río, Belén

477

Path selection in multi-layer networks  

Science Conference Proceedings (OSTI)

Multi-layer networks are computer networks where the configuration of the network can be changed dynamically at multiple layers. However, in practice, technologies at different layers may be incompatible to each other, which necessitates a careful choice ... Keywords: Multi-layer network, Network description, Path selection

Fernando Kuipers; Freek Dijkstra

2009-01-01T23:59:59.000Z

478

Monitoring of the electrical distribution network operation  

Science Conference Proceedings (OSTI)

Distribution network operation is determined by the behaviour of the load. To plan and analyse the electrical network operation, precise modelling of load is substantial. The adequate approach to understand the electrical distribution network operation ... Keywords: SCADA, busloads, distribution network, load monitoring, mathematical model of load, network operation monitoring, state estimation

Jako Kilter; Mati Meldorf

2009-02-01T23:59:59.000Z

479

Assessing the vulnerability of replicated network services  

Science Conference Proceedings (OSTI)

Client-server networks are pervasive, fundamental, and include such key networks as the Internet, power grids, and road networks. In a client-server network, clients obtain a service by connecting to one of a redundant set of servers. These networks ...

George Dean Bissias; Brian Neil Levine; Ramesh K. Sitaraman

2010-11-01T23:59:59.000Z

480

Parallel simulation of software defined networks  

Science Conference Proceedings (OSTI)

Existing network architectures fall short when handling networking trends, e.g., mobility, server virtualization, and cloud computing, as well as market requirements with rapid changes. Software-defined networking (SDN) is designed to transform network ... Keywords: parallel discrete event simulation, software-defined networking

Dong Jin, David M. Nicol

2013-05-01T23:59:59.000Z

Note: This page contains sample records for the topic "network esnet bes" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


481

Applying physical-layer network coding in wireless networks  

Science Conference Proceedings (OSTI)

A main distinguishing feature of a wireless network compared with a wired network is its broadcast nature, in which the signal transmitted by a node may reach several other nodes, and a node may receive signals from several other nodes, simultaneously. ...

Shengli Zhang; Soung Chang Liew

2010-01-01T23:59:59.000Z

482

Networked Graphics: Building Networked Games and Virtual Environments  

Science Conference Proceedings (OSTI)

This broad-ranging book equips programmers and designers with a thorough grounding in the techniques used to create truly network-enabled computer graphics and games. Written for graphics/game/VE developers and students, it assumes no prior knowledge ... Keywords: Computer Animation, Computer Graphics, Computer Science, Computers, Game Programming, Interactive & Multimedia, Networking, Video & Electronic, Virtual Reality

Anthony Steed; Manuel Fradinho Oliveira

2009-11-01T23:59:59.000Z

483

High Performance Network Monitoring  

SciTech Connect

Network Monitoring requires a substantial use of data and error analysis to overcome issues with clusters. Zenoss and Splunk help to monitor system log messages that are reporting issues about the clusters to monitoring services. Infiniband infrastructure on a number of clusters upgraded to ibmon2. ibmon2 requires different filters to report errors to system administrators. Focus for this summer is to: (1) Implement ibmon2 filters on monitoring boxes to report system errors to system administrators using Zenoss and Splunk; (2) Modify and improve scripts for monitoring and administrative usage; (3) Learn more about networks including services and maintenance for high performance computing systems; and (4) Gain a life experience working with professionals under real world situations. Filters were created to account for clusters running ibmon2 v1.0.0-1 10 Filters currently implemented for ibmon2 using Python. Filters look for threshold of port counters. Over certain counts, filters report errors to on-call system administrators and modifies grid to show local host with issue.

Martinez, Jesse E [Los Alamos National Laboratory

2012-08-10T23:59:59.000Z

484

Network Upgrade for the SLC: PEP II Network  

SciTech Connect

The PEP-II control system required a new network to support the system functions. This network, called CTLnet, is an FDDI/Ethernet based network using only TCP/IP protocols. An upgrade of the SLC Control System micro communications to use TCP/IP and SLCNET would allow all PEP-II control system nodes to use TCP/IP. CTLnet is private and separate from the SLAC public network. Access to nodes and control system functions is provided by multi-homed application servers with connections to both the private CTLnet and the SLAC public network. Monitoring and diagnostics are provided using a dedicated system. Future plans and current status information is included.

Crane, M.; Call, M.; Clark, S.; Coffman, F.; Himel, T.; Lahey, T.; Miller, E.; Sass, R.; /SLAC

2011-09-09T23:59:59.000Z

485

Opportunistic resource utilization networks-A new paradigm for specialized ad hoc networks  

Science Conference Proceedings (OSTI)

We present opportunistic resource utilization networks or oppnets, a novel paradigm of specialized ad hoc networks. We believe that applications can benefit from using specialized ad hoc networks that provide a natural basis for them, the basis more ... Keywords: Ad hoc networks, Oppnets, Opportunistic networks, Specialized ad hoc networks

Leszek Lilien; Ajay Gupta; Zill-E-Huma Kamal; Zijiang Yang

2010-03-01T23:59:59.000Z

486

A generic network interface architecture for a networked processor array (NePA)  

Science Conference Proceedings (OSTI)

Recently Network-on-Chip (NoC) technique has been proposed as a promising solution for on-chip interconnection network. However, different interface specification of integrated components raises a considerable difficulty for adopting NoC techniques. ... Keywords: interconnection network, multiprocessor systemon-chip (MPSoC), network interface, network-on-chip (NoC), networked processor array (NePA)

Seung Eun Lee; Jun Ho Bahn; Yoon Seok Yang; Nader Bagherzadeh

2008-02-01T23:59:59.000Z

487

Packet-Switched Optical Networks  

Science Conference Proceedings (OSTI)

In this article, we present a platform design for packet-switched OTDM networks operating at ultrafast bit-rates for modern multiprocessor interconnects. The design is implemented in a prototype 8-node transparent shuffle network. The flow control in ... Keywords: Communication system interfaces, signalling, synchronization, clock and data recovery, PLLs

Ben Y. Yu; Paul Toliver; Robert J. Runser; Kung-Li Deng; Deyu Zhou; Ivan Glesk; Paul R. Prucnal

1998-01-01T23:59:59.000Z

488

RNEDE: Resilient Network Design Environment  

SciTech Connect

Modern living is more and more dependent on the intricate web of critical infrastructure systems. The failure or damage of such systems can cause huge disruptions. Traditional design of this web of critical infrastructure systems was based on the principles of functionality and reliability. However, it is increasingly being realized that such design objectives are not sufficient. Threats, disruptions and faults often compromise the network, taking away the benefits of an efficient and reliable design. Thus, traditional network design parameters must be combined with self-healing mechanisms to obtain a resilient design of the network. In this paper, we present RNEDEa resilient network design environment that that not only optimizes the network for performance but tolerates fluctuations in its structure that result from external threats and disruptions. The environment evaluates a set of remedial actions to bring a compromised network to an optimal level of functionality. The environment includes a visualizer that enables the network administrator to be aware of the current state of the network and the suggested remedial actions at all times.

Venkat Venkatasubramanian, Tanu Malik, Arun Giridh; Craig Rieger; Keith Daum; Miles McQueen

2010-08-01T23:59:59.000Z

489

Bayesian networks: A teacher's view  

Science Conference Proceedings (OSTI)

Teachers viewing Bayesian network-based proficiency estimates from a classroom full of students face a different problem from a tutor looking at one student at a time. Fortunately, individual proficiency estimates can be aggregated into classroom and ... Keywords: Aggregation, Bayesian networks, Computer graphics, Probabilities

Russell G. Almond; Valerie J. Shute; Jody S. Underwood; Juan-Diego Zapata-Rivera

2009-03-01T23:59:59.000Z

490

Distance indexing on road networks  

Science Conference Proceedings (OSTI)

The processing of kNN and continuous kNN queries on spatial network databases (SNDB) has been intensively studied recently. However, there is a lack of systematic study on the computation of network distances, which is the most fundamental difference ...

Haibo Hu; Dik Lun Lee; Victor C. S. Lee

2006-09-01T23:59:59.000Z

491

ACDN: active content distribution network  

Science Conference Proceedings (OSTI)

A novel dynamic and active CDN architecture based on active network (ACDN) is proposed. The programmable character of active network makes it easier and quicker to configure new replica servers as well as deploy new policies on demand. A genetic algorithm ...

Yan Chen; Zeng-zhi Li; Zhi-gang Liao

2005-03-01T23:59:59.000Z

492

Bursty subgraphs in social networks  

Science Conference Proceedings (OSTI)

Data available through social media and content sharing platforms present opportunities for analysis and mining. In the context of social networks, it is interesting to formalize and locate bursts of activities amongst users, related to a particular ... Keywords: bursty subgraphs, information burst, social networks, twitter

Milad Eftekhar; Nick Koudas; Yashar Ganjali

2013-02-01T23:59:59.000Z

493

Navigation protocols in sensor networks  

Science Conference Proceedings (OSTI)

We develop distributed algorithms for adaptive sensor networks that respond to directing a target through a region of space. We model this problem as an online distributed motion planning problem. Each sensor node senses values in its perception space ... Keywords: Sensor networks, motes, navigation, potential field, robotics

Qun Li; Daniela Rus

2005-08-01T23:59:59.000Z

494

Disens: scalable distributed sensor network simulation  

Science Conference Proceedings (OSTI)

Simulation is widely used for developing, evaluating and analyzing sensor network applications, especially when deploying a large scale sensor network remains expensive and labor intensive. However, due to its computation intensive nature, existent simulation ... Keywords: distributed simulation, sensor network, simulation

Ye Wen; Rich Wolski; Gregory Moore

2007-03-01T23:59:59.000Z

495

Routing Statistics for Unqueued Banyan Networks  

E-Print Network (OSTI)

Banyan networks comprise a large class of networks that have been used for interconnection in large-scale multiprocessors and telephone switching systems. Regular variants of Banyan networks, such as delta and butterfly ...

Knight, Thomas F., Jr.

1990-09-01T23:59:59.000Z

496

Neural Networks for Postprocessing Model Output: ARPS  

Science Conference Proceedings (OSTI)

The temperature forecasts of the Advanced Regional Prediction System are postprocessed by a neural network. Specifically, 31 stations are considered, and for each a neural network is developed. The nine input variables to the neural network are ...

Caren Marzban

2003-06-01T23:59:59.000Z

497

An overlay architecture for vehicular networks  

Science Conference Proceedings (OSTI)

We propose and discuss an overlay architecture relying on a mobile ad hoc network, called Arigatoni on wheels (Ariwheels for short). More specifically, Ariwheels is a virtual network organization that is designed for a vehicular network underlay environment. ...

Luigi Liquori; Diego Borsetti; Claudio Casetti; Carla-Fabiana Chiasserini

2008-05-01T23:59:59.000Z

498

New generation network architecture and software design  

Science Conference Proceedings (OSTI)

This article deals with new telecommunications networks, the reasons for changes, and the options telecommunications are facing today. The new generation of network architecture is discussed, and two network evolution case studies are presented as well ...

A. Caric; K. Toivo

2000-02-01T23:59:59.000Z

499

Evolution and statistics of biological regulatory networks  

E-Print Network (OSTI)

In this thesis, I study the process of evolution of the gene regulatory network in Escherichia coli. First, I characterize the portion of the network that has been documented, and then I simulate growth of the network. In ...

Chandalia, Juhi Kiran, 1979-

2005-01-01T23:59:59.000Z

500

Decentralized, adaptive resource allocation for sensor networks  

Science Conference Proceedings (OSTI)

This paper addresses the problem of resource allocation in sensor networks. We are concerned with how to allocate limited energy, radio bandwidth, and other resources to maximize the value of each node's contribution to the network. Sensor networks present ...

Geoffrey Mainland; David C. Parkes; Matt Welsh

2005-05-01T23:59:59.000Z