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Note: This page contains sample records for the topic "network esnet bes" from the National Library of EnergyBeta (NLEBeta).
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We encourage you to perform a real-time search of NLEBeta
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1

BES_ESnet_Cover_CR  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to someone byDearTechnicalAwardssupportsBES User Facilities

2

BES Science Network Requirements  

SciTech Connect (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

3

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

4

ESnet: Advanced Networking for Science  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series toESnet4: Networking for the Future of DOE Science William E.NetworkN E R

5

Science-Driven Network Requirements for ESnet  

SciTech Connect (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

6

ESnet: a Production IPv6 Network  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert Southwest Region service area. TheEPSCI Home It is the mission of theESnet Paves Way

7

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

Office of Science (SC) Website

Bookmarks External link Email a Friend Email link to: send Additional Information ESnet Web Site 25 Years ESnet - 25 Years ESnet Celebrates 25 Years ESnet Topology Map ESnet...

8

ESnet Program Plan 1994  

SciTech Connect (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

9

ESnet4:  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series toESnet4: Networking for the Future of DOE Science William E. Johnston

10

ESnet Update  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct:DirectivesSAND2015-21271MostMirror ServersESnetPowersESnet

11

ESnet4_cover  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series toESnet4: Networking for the Future of DOE Science William E.Network

12

ESnet_Cover_New  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series toESnet4: Networking for the Future of DOE Science William E.NetworkN E R

13

ESnet supports Sandia and APNIC IPv6 Background Radiation research  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

supports Sandia and APNIC IPv6 Background Radiation research Engineering Services The Network OSCARS Fasterdata IPv6 Network IPv6 Implementation Checklist ESnet IPv6 Mirror Servers...

14

ESnet's LHCONE Service  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct:DirectivesSAND2015-21271MostMirrorESnet's OSCARSatESnet's

15

Energy Sciences Network (ESnet)  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation InInformation InExplosion Monitoring:Home| Visitors|Upcoming Events andWelcome USESnet, 11

16

ESnet Planning, Status,  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct:DirectivesSAND2015-21271MostMirror ServersESnet Planning,

17

ESnet Policy Board  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct:DirectivesSAND2015-21271MostMirror ServersESnet

18

ESnet Requirements Workshops  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct:DirectivesSAND2015-21271MostMirror ServersESnetPowers

19

ESnet awarded honorable mention  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct:DirectivesSAND2015-21271MostMirrorESnet's OSCARS Selected

20

ESnet Paves Way for HPC 'Superfacility' Real-time Beamline Experiments  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

via the Energy Sciences Network (ESnet) is yielding exciting results in organic photovoltaics research that could transform the way researchers use these facilities and improve...

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

ESnet4_USA_Map_V2  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series toESnet4: Networking for the Future of DOE Science William E.Network

22

ESnet awarded honorable mention  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

of next-generation research in areas including high-energy physics, climate change, genomics and other fields is challenging the capacity of the scientific networks that support...

23

ESnet4_USA_Map_V2  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series toESnet4: Networking for the Future of DOE Science William E.

24

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

ScienceCinema (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

2011-04-28T23:59:59.000Z

25

BES Science Network Requirements  

E-Print Network [OSTI]

in computational nanoscience, providing opportunities toby the needs of users in nanoscience research. The internalprogram and the broader nanoscience community. To understand

Dart, Eli

2011-01-01T23:59:59.000Z

26

BES Science Network Requirements  

E-Print Network [OSTI]

compression ignition (HCCI) environments, and differentialof H2O2 as an intermediate in HCCI ignition and asked if it

Dart, Eli

2011-01-01T23:59:59.000Z

27

BES Science Network Requirements  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to someone byDearTechnicalAwardssupports

28

Final report and recommendations of the ESnet Authentication Pilot Project  

SciTech Connect (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

29

ESnet Marks 25 Years of Service to Science  

ScienceCinema (OSTI)

More information: http://www.es.net/news-and-publications/esnet-news/2011/esnet-celebrates-25th-anniversary-at-sc11/

None

2013-05-29T23:59:59.000Z

30

ESnet's Michael Bennett Recognized by IEEE for Work in Energy...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Michael Bennett Recognized by IEEE for Work in Energy Efficiency News & Publications ESnet News Media & Press Publications and Presentations Galleries ESnet Awards and Honors...

31

Sandia National Laboratories: BES  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared0Energy Advanced NuclearBASF latent curing epoxy FabricationBES

32

ESxSNMP: ESnet eXtensible SNMP System  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series toESnet4: Networking for the Future of DOE Science William E.NetworkN E

33

Recent Charmonium Results from BES  

E-Print Network [OSTI]

This paper summarizes recent results obtained from the BES psi(2S) data, which with 3.8 M events, is the world's largest data set. Distributions for psi(2S) -> pi^+ pi^- J/psi are fit to the Novikov-Shifman model. Preliminary branching fractions are reported for psi(2S) -> gamma f_2(1270) and gamma f_J(1710), as well as for decays into states containing an omega or phi. Finally recent measurements of the mass of the chi_c0 and eta_c are reported.

Frederick A. Harris; for the BES Collaboration

1999-10-14T23:59:59.000Z

34

BES-NERSCWorkshopPresen.ppt  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD)ProductssondeadjustsondeadjustAboutScience Program CumulusA t iBudget Basic Energy Sciences BES

35

Electron and Photon Stimulated Desorption (BES 2) | EMSL  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series toESnet4: Networking for the‹ See allElectrochemicalElectronXPSand

36

ESnet Update Steve Cotter, Dept Head  

E-Print Network [OSTI]

Model Operations End-site education, best practices and consulting services Performance management, personalized reporting Network Knowledgebase like fasterdata Additional Topics Energy efficiency, reduced for DOE community - Conduct/enable groundbreaking research in new protocols/storage/ energy efficient

37

25420_ESNet_ASCR_Cover_Final2  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert SouthwestTechnologies |November 2011 Mon, Next2025 PowerNetwork Requirements ASCR

38

26094_ESNet_BER_Cover_052213  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert SouthwestTechnologies |November 2011 Mon, Next2025 PowerNetwork Requirementsand

39

ESnet Named One of Top Government IT Innovators -- Again  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct:DirectivesSAND2015-21271MostMirror Servers EngineeringESnet

40

ESnet supports Sandia and APNIC IPv6 Background Radiation research  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct:DirectivesSAND2015-21271MostMirrorESnet's OSCARS

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

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

Office of Science (SC) Website

DOE Press Release... To Learn More: HPCwire Article... External link The US LHC Web Site... External link The CERN Web Site... External link ESnet Web Site... External...

42

NERSC/DOE BES Requirements Workshop Worksheet - Normand Modine  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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...

43

Basic Energy Sciences (BES) at LLNL  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation InInformationCenterResearch HighlightsToolsBES ReportsExperimentBasic Energy Sciences at

44

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

45

IT Division's Julie Petersen Attends Networking Conference with ESnet's  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-SeriesFlickr FlickrGuidedCH2MLLCBasicsScience at ALCFPhysics LabIT

46

ESnet Support for WAN Data Movement Eli Dart, Network Engineer  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation Proposed NewcatalystNeutronEnvironmentZIRKLE FRUIT reduces overall energyAN 241.4ESUE Sign

47

The Science DMZ Eli Dart, Network Engineer ESnet Engineering Group  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassiveSubmittedStatus TomAboutManusScienceThe Life ofScience Behind Good BBQ: KnowDMZ

48

Report on Hydrogen Storage Panel Findings in DOE-BES Sponsored...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

Hydrogen Storage Panel Findings in DOE-BES Sponsored Workshop on Basic Research for Hydrogen Production, Storage and Use Report on Hydrogen Storage Panel Findings in DOE-BES...

49

24052_NP_ESnet_Cover_150_v3  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert SouthwestTechnologies |November 2011 Mon, Next2025 Power MarketingPrincetonNetwork

50

26093_ESNet_Belle_II_Cover_v3  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert SouthwestTechnologies |November 2011 Mon, Next2025 PowerNetwork Requirements

51

27264_ESNet_HEP_NP_Cover_final3_102113  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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52

Recent Charmonium Results from BES (Talk Presented at DPF99)  

E-Print Network [OSTI]

Recent results obtained from the BES psi(2S) data are summarized, including the measurement of the branching ratio of the J/psi to leptons, B(J/psi -> l^+ l^-) = 5.87 +/- 0.04 +/- 0.09, many psi(2S) and chi_c branching ratios, information on the rho-pi puzzle, and measurements of the mass of the chi_c0, m(chi_c0) = 3414.1 +/- 0.6 +/- 0.8 MeV, and the eta_c, m(eta_c) = 2975.8 +/- 3.9 +/- 1.2 MeV.

F. A. Harris

1999-03-17T23:59:59.000Z

53

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

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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54

BioEnergy Solutions BES | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating SolarElectricEnergyCTBarre Biomass FacilityOregon:Great EscapeBinaryBioCarbonBES Jump

55

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

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation InInformationCenterResearch HighlightsToolsBES Reports Energy Frontier Research Centers

56

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

Office of Science (SC) Website

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57

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

58

ESnet History  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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59

ESnet Powers NRL's 100 Gbps Remote I/O Demo at SC14  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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60

ESnet to Demonstrate Science DMZ as a Service, Create Virtual Superfacility  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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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

ESnet's Michael Bennett Recognized by IEEE for Work in Energy Efficiency  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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62

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

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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63

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

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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64

ESnet Paves Way for HPC 'Superfacility' Real-time Beamline Experiments  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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65

Microsoft Word - ESnetServiceLevels-V4.0.doc  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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66

Advanced Scientific Computing Research Network Requirements  

SciTech Connect (OSTI)

The Energy Sciences Network (ESnet) is the primary provider of network connectivity for the U.S. Department of Energy (DOE) Office of Science (SC), the single largest supporter of basic research in the physical sciences in the United States. In support of SC 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 25 years. In October 2012, ESnet and the Office of Advanced Scientific Computing Research (ASCR) of the DOE SC organized a review to characterize the networking requirements of the programs funded by the ASCR program office. The requirements identified at the review are summarized in the Findings section, and are described in more detail in the body of the report.

Dart, Eli; Tierney, Brian

2013-03-08T23:59:59.000Z

67

Building A Science DMZ Eli Dart, Network Engineer ESnet Network Engineering Group  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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68

A Systematic Methodology to Underpin the CC Process Using Calibrated BES Models  

E-Print Network [OSTI]

This paper describes a theoretical framework for utilizing whole building and reduced order calibrated BES models to underpin a systematic Continuous Commissioning (CC) process for building environmental optimisation and effective energy...

White, G.; Keane, M.; Raftery, P.; Coakley, D.

2011-01-01T23:59:59.000Z

69

STAGES -ENSEIGNEMENT AU SECONDAIRE (BES) ANGLAIS LANGUE SECONDE (BEALS) Programme Dure / Rythme Calendrier Milieux de  

E-Print Network [OSTI]

STAGES - ENSEIGNEMENT AU SECONDAIRE (BES) ANGLAIS LANGUE SECONDE (BEALS) Programme Durée / Rythme'enseignante ou l'enseignant associé BES/BEALS STP 100 (2 cr) STP 111 (2 cr) Niveau 1 Valeur 1 10 jours 10 jours perlés (dont 1 journée au primaire pour le BEALS) Les mercredis 17 sept., 1er , 8, 22, 29 oct., 5, 19, 26

Spino, Claude

70

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

Office of Science (SC) Website

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71

ESnet Opens 40G perfSONAR Host for Network Performance Testing  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct:DirectivesSAND2015-21271MostMirror Servers

72

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

Office of Science (SC) Website

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched5 Industrial CarbonArticlesHumanJune 2008 Basic Energy Sciences (BES) BES Home About

73

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

Office of Science (SC) Website

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched5 Industrial CarbonArticlesHumanJune 2008 Basic Energy Sciences (BES) BES Home

74

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

Office of Science (SC) Website

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched5 Industrial CarbonArticlesHumanJune 2008 Basic Energy Sciences (BES) BES HomeOctober

75

BER Science Network Requirements  

SciTech Connect (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

76

Biological and Environmental Research Network Requirements  

SciTech Connect (OSTI)

The Energy Sciences Network (ESnet) is the primary provider of network connectivity for the U.S. Department of Energy (DOE) Office of Science (SC), the single largest supporter of basic research in the physical sciences in the United States. In support of SC 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 be a highly successful enabler of scientific discovery for over 25 years. In November 2012, ESnet and the Office of Biological and Environmental Research (BER) of the DOE SC organized a review to characterize the networking requirements of the programs funded by the BER program office. Several key findings resulted from the review. Among them: 1) The scale of data sets available to science collaborations continues to increase exponentially. This has broad impact, both on the network and on the computational and storage systems connected to the network. 2) Many science collaborations require assistance to cope with the systems and network engineering challenges inherent in managing the rapid growth in data scale. 3) Several science domains operate distributed facilities that rely on high-performance networking for success. Key examples illustrated in this report include the Earth System Grid Federation (ESGF) and the Systems Biology Knowledgebase (KBase). This report expands on these points, and addresses others as well. The report contains a findings section as well as the text of the case studies discussed at the review.

Dart, Eli; Tierney, Brian

2013-09-01T23:59:59.000Z

77

Benefits of Green Energy and Proportionality in High Speed Wide Area Networks Connecting Data Centers  

E-Print Network [OSTI]

Benefits of Green Energy and Proportionality in High Speed Wide Area Networks Connecting Data Network ModelBackbone Network Model Green EnergyGreen Energy SPR vs. GEARSPR vs. GEAR All vs. Necessary (MuSyC), National Science Foundation (NSF) Project GreenLight, Energy Sciences Network (ESnet), NSF

Simunic, Tajana

78

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

Office of Science (SC) Website

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79

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

Office of Science (SC) Website

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched5 Industrial CarbonArticlesHumanJune 2008 Basic EnergyB. Grant Logan,Committees ofBES

80

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

Office of Science (SC) Website

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched5 Industrial CarbonArticlesHumanJune 2008 Basic EnergyB. Grant Logan,Committees 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.


81

ASCR Science Network Requirements  

SciTech Connect (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

82

Advance Network Reservation and Provisioning for Science  

SciTech Connect (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

83

ESnet Update Summer 2007  

E-Print Network [OSTI]

Offices MIT ANL BNL FNAL AMES NREL LLNL GA DOE-ALB OSC GTN NNSA International (high speed) 10 Gb/s SDN / GigEthernet OC3 (155 Mb/s) 45 Mb/s and less NNSA Sponsored (12) Joint Sponsored (3) Other Sponsored

84

The ESnet Engineering Team  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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85

Who ESnet Serves  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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86

ESnet IPv6 History  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct:DirectivesSAND2015-21271Most

87

ESnet Awards and Honors  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert Southwest Region service area. TheEPSCI Home It is the mission of the EnvironmentalNews

88

Validation of Simulated Thermal Comfort using a Calibrated Building Energy Simulation (BES) model in the context of Building Performance Evaluation & Optimisation  

E-Print Network [OSTI]

Building Energy Simulation (BES) models play a significant role in the design and optimisation of buildings. Simulation models may be used to compare the cost-effectiveness of Energy- Conservation Measures (ECMs) in the design stage as well...

Coakley, D.; Corry, E. J.; Keane, M. M.

2013-01-01T23:59:59.000Z

89

Brooklin Gore  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Brooklin Gore About ESnet Our Mission The Network ESnet History Governance & Policies Career Opportunities ESnet Staff & Org Chart Administration Advanced Network Technologies...

90

Brendan M. White  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Brendan M. White About ESnet Our Mission The Network ESnet History Governance & Policies Career Opportunities ESnet Staff & Org Chart Administration Advanced Network Technologies...

91

Daniel White  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Daniel White About ESnet Our Mission The Network ESnet History Governance & Policies Career Opportunities ESnet Staff & Org Chart Administration Advanced Network Technologies...

92

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

SciTech Connect (OSTI)

ESnet - the Energy Sciences Network - has the mission of enabling the aspects of the US Department of Energy's Office of Science programs and facilities that depend on large collaborations and large-scale data sharing to accomplish their science. The Office of Science supports a large fraction of all U.S. physical science research and operates many large science instruments and supercomputers that are used by both DOE and University researchers. The network requirements of this community have been explored in some detail by ESnet and a long-term plan has been developed in order to ensure adequate networking to support the science. In this paper we describe the planning process (which has been in place for several years and was the basis of a new network that is just now being completed and a new set of network services) and examine the effectiveness and adequacy of the planning process in the light of evolving science requirements.

Johnston, W.; Chaniotakis, E.; Dart, E.; Guok, C.; Metzger, J.; Tierney, B.

2009-06-15T23:59:59.000Z

93

Energy-Efficient Networks  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series toESnet4: Networking for37Energy Storage &Architecting and Operating

94

perfSONAR Workshop Helps Network Engineers Improve Network Performance...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

at ESnet, were the featured speakers at "perfSONAR Deployment Best Practices, Architecture, and Moving the Needle," organized by ESnet and Internet2 and hosted Jan. 21-22 by...

95

ESnet IPv6 Mirror Servers  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct:DirectivesSAND2015-21271MostMirror Servers Engineering

96

ESnet LHCONE Service for Universities  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation Proposed NewcatalystNeutronEnvironmentZIRKLE FRUIT reduces overall energyAN 241.4ESUE Sign In

97

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

SciTech Connect (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

98

BES Energy Storage Research  

Broader source: Energy.gov [DOE]

2013 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting

99

Recent BES charmonium results  

E-Print Network [OSTI]

Using 58 million $J/\\psi$ decays, we have investigated the $p \\bar{p}$ invariant mass spectrum in the radiative decay $J/\\psi \\to \\gamma p \\bar{p}$ and observe a prominent structure with mass near $2m_p$. Fitting with an S-wave Breit-Wigner, we obtain a peak mass of $M= 1859^{+3}_{-10}(\\rm stat)^{+5}_{-25}(sys) MeV/c^2$. $J/\\psi \\to \\gamma \\eta_c$ decays from the same sample are used to determine the mass, width, and hadronic branching ratios of the $\\eta_c$. From a sample of 14 million $\\psi(2S)$ events, the first observation of $\\chi_{cJ}$ (J=0,1,2) decays to $\\Lambda\\bar{\\Lambda}$ is made, and branching ratios are determined, which are larger than expected from the Color Octet Model. Branching ratios of $K_s^0K_L^0$ in both $\\psi(2S)$ and $J/\\psi$ decays are measured, and a more than four sigma deviation from the pQCD predicted "12% rule" is observed. In $\\psi(3770)$ decays, evidence for the non-$D\\bar{D}$ decay to $\\pi^+\\pi^-J/\\psi$ is observed.

Jiangchuan Chen; Frederick A. Harris

2003-10-16T23:59:59.000Z

100

NERSC BES Review Presentations  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

| 20 MB Large-Scale Computation for Excited State Phenomena Author(s): Jeffrey Neaton, LBNL | Download File: NeatonRightSized.pdf | pdf | 14 MB Sampling diffusive dynamics on long...

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

BES Open Funding Opportunities  

Office of Science (SC) Website

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102

BES Science Highlights  

Office of Science (SC) Website

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103

BES Workshop Reports  

Office of Science (SC) Website

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104

NERSC BES Review Presentations  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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105

BES Requirements Review 2014  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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106

NERSC BES Review Presentations  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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107

NERSC BES Review Presentations  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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108

NERSC-BES.pptx  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Opticalhttp://www.fnal.gov/directorate/nalcal/nalcal02_07_05_files/nalcal.gifA Comparison of2009 UsercBasic Energy

109

High Energy Physics and Nuclear Physics Network Requirements  

SciTech Connect (OSTI)

The Energy Sciences Network (ESnet) is the primary provider of network connectivity for the U.S. Department of Energy (DOE) Office of Science (SC), the single largest supporter of basic research in the physical sciences in the United States. In support of SC programs, ESnet regularly updates and refreshes its understanding of the networking requirements needed by 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 25 years. In August 2013, ESnet and the DOE SC Offices of High Energy Physics (HEP) and Nuclear Physics (NP) organized a review to characterize the networking requirements of the programs funded by the HEP and NP program offices. Several key findings resulted from the review. Among them: 1. The Large Hadron Collider?s ATLAS (A Toroidal LHC Apparatus) and CMS (Compact Muon Solenoid) experiments are adopting remote input/output (I/O) as a core component of their data analysis infrastructure. This will significantly increase their demands on the network from both a reliability perspective and a performance perspective. 2. The Large Hadron Collider (LHC) experiments (particularly ATLAS and CMS) are working to integrate network awareness into the workflow systems that manage the large number of daily analysis jobs (1 million analysis jobs per day for ATLAS), which are an integral part of the experiments. Collaboration with networking organizations such as ESnet, and the consumption of performance data (e.g., from perfSONAR [PERformance Service Oriented Network monitoring Architecture]) are critical to the success of these efforts. 3. The international aspects of HEP and NP collaborations continue to expand. This includes the LHC experiments, the Relativistic Heavy Ion Collider (RHIC) experiments, the Belle II Collaboration, the Large Synoptic Survey Telescope (LSST), and others. The international nature of these collaborations makes them heavily reliant on transoceanic connectivity, which is subject to longer term service disruptions than terrestrial connectivity. The network engineering aspects of undersea connectivity will continue to be a significant part of the planning, deployment, and operation of the data analysis infrastructure for HEP and NP experiments for the foreseeable future. Given their critical dependency on networking services, the experiments have expressed the need for tight integration (both technically and operationally) of the domestic and the transoceanic parts of the network infrastructure that supports the experiments. 4. The datasets associated with simulations continue to increase in size, and the need to move these datasets between analysis centers is placing ever-increasing demands on networks and on data management systems at the supercomputing centers. In addition, there is a need to harmonize cybersecurity practice with the data transfer performance requirements of the science. This report expands on these points, and addresses others as well. The report contains a findings section in addition to the text of the case studies discussed during the review.

Dart, Eli; Bauerdick, Lothar; Bell, Greg; Ciuffo, Leandro; Dasu, Sridhara; Dattoria, Vince; De, Kaushik; Ernst, Michael; Finkelson, Dale; Gottleib, Steven; Gutsche, Oliver; Habib, Salman; Hoeche, Stefan; Hughes-Jones, Richard; Ibarra, Julio; Johnston, William; Kisner, Theodore; Kowalski, Andy; Lauret, Jerome; Luitz, Steffen; Mackenzie, Paul; Maguire, Chales; Metzger, Joe; Monga, Inder; Ng, Cho-Kuen; Nielsen, Jason; Price, Larry; Porter, Jeff; Purschke, Martin; Rai, Gulshan; Roser, Rob; Schram, Malachi; Tull, Craig; Watson, Chip; Zurawski, Jason

2014-03-02T23:59:59.000Z

110

Energetics of Hydrogen Bond Network Rearrangements in Liquid Water  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series toESnet4: Networking for37 East and WestLydiaEnabling time

111

Energetics of Hydrogen Bond Network Rearrangements in Liquid Water  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series toESnet4: Networking for37 East and WestLydiaEnabling timeEnergetics of

112

Energetics of Hydrogen Bond Network Rearrangements in Liquid Water  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series toESnet4: Networking for37 East and WestLydiaEnabling timeEnergetics

113

Phoebus: Network Middleware for Next-Generation Network Computing  

SciTech Connect (OSTI)

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

114

End-to-End Network Tuning Sends Data Screaming from NERSC to NOAA  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series toESnet4: Networking for37 East and WestLydiaEnabling time travel

115

How NERSC and ESnet Grew Up Together  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

person, Alvin Trivelpiece. In 1973, Trivelpiece was head of the Controlled Thermonuclear Research program for the Atomic Energy Commission, solicited proposals for a...

116

ESnet Extends 100G Connectivity Across Atlantic  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

the ability to distribute this on a global scale is the key to its analysis," said David Foster, who is deputy head of CERN's IT Department and is responsible for international...

117

ESnet Extends 100G Connectivity Across Atlantic  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct:DirectivesSAND2015-21271Most FrequentlyESTSCCircuitsExtends

118

24544_FES_ESnet_Cover_final  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert SouthwestTechnologies |November 2011 Mon, Next2025 Power

119

BER_ESnet_Cover_WhiteBckgrnd  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to someone byDearTechnicalAwardssupports local

120

CENIC Honors ESnet's 100G Testbed  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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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

Biological and Environmental Research Network Requirements  

E-Print Network [OSTI]

Cesar Izaurralde, PNNL (GLBRC) Bill Johnston, ESnet (Bioenergy Research Center (GLBRC) needs assistance with dataBioenergy Research Center (GLBRC) has developed a high-

Dart, Eli

2014-01-01T23:59:59.000Z

122

Network  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert Southwest Regionat Cornell Batteries &NSTCurrent Issues &Network » Network

123

LHCNet: Wide Area Networking and Collaborative Systems for HEP  

SciTech Connect (OSTI)

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

124

Recent Charmonium Physics from BES  

E-Print Network [OSTI]

Measurements of branching fractions for nine different final states, based on a data sample of approximately 4 million psi(2S) events collected with the BESI detector at the BEPC, are reported. Using the same event sample, radiative decays of the psi (2S) into pi pi, K K-bar and eta eta final states have been measured. Cross sections for e e -> e e, hadrons, pi pi J/psi, and mu mu have been measured in the vicinity of the psi(2S) resonance using the BESII detector. The psi(2S) total width; partial widths to hadrons, pi pi J/psi and muons; and corresponding branching fractions have been determined. Decays of J/psi -> gamma eta_c are used to determine the mass and width of the eta_c using a sample of 58 M J/psi events. $M_{\\eta_c} = (2977.5 \\pm 1.0 \\pm 1.2)$ MeV and $\\Gamma_{\\eta_c} = (17.0 \\pm 3.7 \\pm 7.4)$ MeV. The first observation of chicJ (J=0,1,2) decays to lambda lambda-bar is reported using psi(2S) data collected with the BESII detector. Results are compared with model predictions.

Frederick A. Harris

2003-05-30T23:59:59.000Z

125

Collaborative Combustion Research with BES  

Broader source: Energy.gov [DOE]

2013 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting

126

BES_NERSC_Wang.ppt  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD)ProductssondeadjustsondeadjustAboutScience Program CumulusA t iBudget Basic Energy

127

Sandia National Laboratories: BES EFRC  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared0Energy Advanced NuclearBASF latent curing epoxy FabricationBESBES

128

Belle-II Experiment Network Requirements  

SciTech Connect (OSTI)

The Belle experiment, part of a broad-based search for new physics, is a collaboration of ~;;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-1 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 neworking 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.

Belle-II Experiment Collaboration; Asner, David; Bell, Greg; Carlson, Tim; Cowley, David; Dart, Eli; Erwin, Brock; Godang, Romulus; Hara, Takanori; Johnson, Jerry; Johnson, Ron; Johnston, Bill; Dam, Kerstin Kleese-van; Kaneko, Toshiaki; Kubota, Yoshihiro; Kuhr, Thomas; McCoy, John; Miyake, Hideki; Monga, Inder; Nakamura, Motonori; Piilonen, Leo; Pordes, Ruth; Ray, Douglas; Russell, Richard; Schram, Malachi; Schroeder, Jim; Sevior, Martin; Singh, Surya; Suzuki, Soh; Sasaki, Takashi; Williams, Jim

2013-05-28T23:59:59.000Z

129

Network Communication as a Service-Oriented Capability  

SciTech Connect (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

130

Network Management Network Management  

E-Print Network [OSTI]

that pertain to the operation, administration, maintenance, and provisioning of networked systems Operation deals with keeping the network up (and the service provided by the network) Administration involvesNetwork Management Pag. 1 Network Management Andrea Bianco Telecommunication Network Group Network

131

Sowmya Balasubramanian  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

ESnet in 2010. She works to develop and maintain perfSONAR (PERFormance Service Oriented Network monitoring ARchitecture), a network testing and troubleshooting system....

132

ESnet_Map_PL11_peerings.ai  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

NUS-GPODN REANNZSinet TRANSPACTWAREN) AUSTRALIA (AARnet) LATIN AMERICA CLARACUDI CANADA (CANARIE) US R&E (DRENInternet2NLR) US R&E (DRENInternet2 NASA) US R&E (NASANISN...

133

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

134

ESnet Update Steve Cotter, Dept Head Lawrence Berkeley National Lab  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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135

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

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recovery challenge fundProject8 - OutlineWIPP Emergency Operations

136

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; Seghezzo et al. 1998). This is a more sustainable treatment method because methane in biogas can partly

Angenent, Lars T.

137

Recent BES results and the BESIII upgrade  

E-Print Network [OSTI]

Using 58 million $J/\\psi$ and 14 million $\\psi(2S)$ events collected by the BESII detector at the BEPC, branching fractions or upper limits for the decays $J/\\psi$ and $\\psi(2S) \\to \\Lambda \\bar{\\Lambda} \\pi^0$ and $\\Lambda \\bar{\\Lambda} \\eta$ are measured, and the decays of $J/\\psi$ and $\\psi(2S)$ to $n K^0_S \\bar{\\Lambda}+c.c.$ are observed and measured for the first time. Finally, $R$ measurement data taken with the BESII detector at center-of-mass energies between 3.7 and 5.0 GeV are fitted to determine resonance parameters of the high mass charmonium states, $\\psi(3770)$, $\\psi(4040)$, $\\psi(4160)$, and $\\psi(4415)$. The Beijing Electron Collider is being upgraded to a two-ring collider (BEPCII) with a design luminosity of $1 \\times 10^{33}$cm$^{-2}$ s$^{-1}$ at 3.89 GeV and will operate between 2 and 4.2 GeV in the center of mass. With this luminosity, the new BESIII detector will beable to collect, for example, 10 billion $J/\\psi$ events in one year of running. BEPCII and BESIII are currently nearing completion, and commissioning of both is expected to begin in mid-2008.

Frederick A. Harris

2007-12-17T23:59:59.000Z

138

BES Results on Charmonium Decays and Transitions  

E-Print Network [OSTI]

Results are reported based on samples of 58 million $J/\\psi$ and 14 million $\\psi(2S)$ decays obtained by the BESII experiment. Improved branching fraction measurements are determined, including branching fractions for $J/\\psi\\to\\pi^+\\pi^-\\pi^0$, $\\psi(2S)\\to \\pi^0 J/\\psi$, $\\eta J/\\psi$, $\\pi^0 \\pi^0 J/\\psi$, anything $J/\\psi$, and $\\psi(2S)\\to\\gamma\\chi_{c1},\\gamma\\chi_{c2}\\to\\gamma\\gamma\\jpsi$. Using 14 million $\\psi(2S)$ events, $f_0(980)f_0(980)$ production in $\\chi_{c0}$ decays and $K^*(892)^0\\bar K^*(892)^0$ production in $\\chi_{cJ}~(J=0,1,2)$ decays are observed for the first time, and branching ratios are determined.

Frederick A. Harris

2004-09-29T23:59:59.000Z

139

Experimental charmonium decay results from BES  

E-Print Network [OSTI]

Based on 14 million psi(2S) and 58 million J/psi events collected by the BESII detector, the leptonic decay of psi(2S) into $\\tau^+\\tau^-$, psi(2S) multi-body decays, chi_cJ decays, and J/psi hadronic decays are studied, and the branching fractions of these decays are reported. These results may shed light on the understanding of QCD.

Ping Rong-Gang; F. A. Harris; for BES collaboration

2007-11-23T23:59:59.000Z

140

NERSC/DOE BES Requirements Workshop Agenda  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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141

NERSC/DOE BES Requirements Workshop Logistics  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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142

NERSC/DOE BES Requirements Workshop Participants  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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143

NERSC/DOE BES Requirements Workshop Presentations  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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144

BES2017-v2.10  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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145

NERSC-BES-Requirements-Yelick10.ppt  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Opticalhttp://www.fnal.gov/directorate/nalcal/nalcal02_07_05_files/nalcal.gifA Comparison of2009 UsercBasic Energy Science

146

NERSC/DOE BES Requirements Workshop Presentations  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Opticalhttp://www.fnal.gov/directorate/nalcal/nalcal02_07_05_files/nalcal.gifA Comparison of2009FusionQuantum Monte Carlo

147

NERSC/DOE BES Requirements Workshop Presentations  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Opticalhttp://www.fnal.gov/directorate/nalcal/nalcal02_07_05_files/nalcal.gifA Comparison of2009FusionQuantum Monte Carlo3D

148

KENT_NERSC_BES_Requirements_20131008.ppt  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsingFunInfraredJeffersonJonathan Pershingrelocates 18-ton machine | Nationalm 526: C

149

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

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct:DirectivesSAND2015-21271Most FrequentlyESTSC

150

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

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct:DirectivesSAND2015-21271Most FrequentlyESTSCCircuits

151

Network Chimera Network Chimera  

E-Print Network [OSTI]

Network Chimera Network Chimera Objective Chimera aims to understand how the network properties enough with limited resources. The Chimera team is cross-disciplinary, and includes computer scientists Impact The original hypothesis of Chimera was that a physical network could be reduced to a graph

152

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

SciTech Connect (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

153

DOE Designated User Facilities Multiple Laboratories * ARM Climate...  

Broader source: Energy.gov (indexed) [DOE]

* Energy Sciences Network( ESnet) ** * Joint Genome Institute (JGI) - Production Genomics Facility(PGF)** (joint with LLNL, LANL, ORNL and PNNL) * Advanced Light Source (ALS)...

154

Exploiting Network Parallelism  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series toESnet4:Epitaxial Thin FilmEquipment SSRL plansExperts

155

Network Programming 1 Computer Networks  

E-Print Network [OSTI]

Network Programming 1 Computer Networks client/server architecture, protocols, and sockets 2;Network Programming 1 Computer Networks client/server architecture, protocols, and sockets 2 Network;client/server architecture Client/server architecture defines the communication between two computers

Verschelde, Jan

156

Brookhaven National Laboratory moves to the fast lane  

E-Print Network [OSTI]

"The U.S. Department of Energy's energy sciences network (ESnet) continues to roll out its next-generation architecture on schedule with the March 14 completion of the Long Island Metropolitan Area Network, connecting Brookhaven National Laboratory (BNL) to the ESnet point of presente (PO) 60 miles away in New York City." (1 page)

2006-01-01T23:59:59.000Z

157

Year 1 Progress Report Computational Materials and Chemical Sciences Network Administration  

SciTech Connect (OSTI)

This document reports progress on the project Computational Materials and Chemical Sciences Network Administration, which is supported by DOE BES Grant DE-FG02-02ER45990 MOD 08. As stated in the original proposal, the primary goal of this project is to carry out the scientific administrative responsibilities for the Computational Materials and Chemical Sciences Network (CMCSN) of the U.S. Department of Energy, Office of Basic Energy Sciences. These responsibilities include organizing meetings, publishing and maintaining CMCSNs website, publishing a periodic newsletter, writing original material for both the website and the newsletter, maintaining CMCSN documentation, editing scientific documents, as needed, serving as liaison for the entire Network, facilitating information exchange across the network, communicating CMCSNs success stories to the larger community and numerous other tasks outside the purview of the scientists in the CMCSN. Given the dramatic increase in computational power, advances in computational materials science can have an enormous impact in science and technology. For many of the questions that can be addressed by computation there is a choice of theoretical techniques available, yet often there is no accepted understanding of the relative strengths and effectiveness of the competing approaches. The CMCSN fosters progress in this understanding by providing modest additional funding to research groups which engage in collaborative activities to develop, compare, and test novel computational techniques. Thus, the CMCSN provides the glue money which enables different groups to work together, building on their existing programs and expertise while avoiding unnecessary duplication of effort. This includes travel funding, partial postdoc salaries, and funding for periodic scientific meetings. The activities supported by this grant are briefly summarized below.

Rehr, John J.

2012-08-02T23:59:59.000Z

158

E-Print Network 3.0 - air-water solution interface Sample Search...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Search Powered by Explorit Topic List Advanced Search Sample search results for: air-water solution interface Page: << < 1 2 3 4 5 > >> 1 BES Chemical Sciences Division Research...

159

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 Berkeley National Laboratory, MS 50B-2239, Berkeley, California, U.S.A. Abstract Modern large-scale science. of Energy's Office of Science that examined the networking and middleware requirements of the major science

160

Arra: Tas::89 0227::Tas Recovery Act 100g Ftp: An Ultra-High Speed Data Transfer Service Over Next Generation 100 Gigabit Per Second Network  

SciTech Connect (OSTI)

Data-intensive applications, including high energy and nuclear physics, astrophysics, climate modeling, nano-scale materials science, genomics, and financing, are expected to generate exabytes of data over the coming years, which must be transferred, visualized, and analyzed by geographically distributed teams of users. High-performance network capabilities must be available to these users at the application level in a transparent, virtualized manner. Moreover, the application users must have the capability to move large datasets from local and remote locations across network environments to their home institutions. To solve these challenges, the main goal of our project is to design and evaluate high-performance data transfer software to support various data-intensive applications. First, we have designed a middleware software that provides access to Remote Direct Memory Access (RDMA) functionalities. This middleware integrates network access, memory management and multitasking in its core design. We address a number of issues related to its efficient implementation, for instance, explicit buffer management and memory registration, and parallelization of RDMA operations, which are vital to delivering the benefit of RDMA to the applications. Built on top of this middleware, an implementation and experimental evaluation of the RDMA-based FTP software, RFTP, is described and evaluated. This application has been implemented by our team to exploit the full capabilities of advanced RDMA mechanisms for ultra-high speed bulk data transfer applications on Energy Sciences Network (ESnet). Second, we designed our data transfer software to optimize TCP/IP based data transfer performance such that RFTP can be fully compatible with todays Internet. Our kernel optimization techniques with Linux system calls sendfile and splice, can reduce data copy cost. In this report, we summarize the technical challenges of our project, the primary software design methods, the major project milestones achieved, as well as the testbed evaluation work and demonstrations during our project life time.

YU, DANTONG [Brookhaven National Lab/Stony Brook University; Jin, Shudong [Stony Brook University

2014-03-01T23:59:59.000Z

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

Cognitive Radio Networks as Sensor Networks  

E-Print Network [OSTI]

is used, assuming the cognitive radios know their ownfor Embedded Networked Sensing Cognitive Radio Networks AsJ. Pottie Introduction: Cognitive Radio (CR) Networks The

Bandari, Dorna; Yang, Seung R.; Zhao, Yue; Pottie, Gregory

2007-01-01T23:59:59.000Z

162

Network Perspectives on Communities  

E-Print Network [OSTI]

W W. Networks Fields and Organizations: Micro-Dynamics Scaleentitled Networks, Fields and Organizations: Micro-

Wolfe, Alvin W

2006-01-01T23:59:59.000Z

163

Routing in hybrid networks  

E-Print Network [OSTI]

Hybrid networks are networks that have wired as well as wireless components. Several routing protocols exist for traditional wired networks and mobile ad-hoc networks. However, there are very few routing protocols designed for hybrid networks...

Gupta, Avinash

2001-01-01T23:59:59.000Z

164

NERSC/DOE BES Requirements Workshop Worksheet - Brian Austin  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

large) matrix of wave-function derivatives. Alternatively, a variety of conjugate gradient methods provided by the GSL library can be used for the optimization. The largest...

165

NERSC/DOE BES Requirements Workshop Worksheet - Tony Ladd  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Principal Investigator Tony Ladd Participating Organizations University of Florida University of Warsaw Funding Agencies DOE SC DOE NSA NSF NOAA NIH Other: 2. Project...

166

NERSC/DOE BES Requirements Workshop Worksheet - Burkhard Militzer  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Pressure Materials Principal Investigator Burkhard Militzer Participating Organizations University of California, Berkeley Funding Agencies DOE SC DOE NSA NSF NOAA NIH Other: 2....

167

NERSC/DOE BES Requirements Workshop Worksheet - Randy Cygan  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Sandia National Laboratories Michigan State University Northwestern University Purdue University Funding Agencies DOE SC DOE NSA NSF NOAA NIH Other: 2. Project Summary &...

168

NERSC/DOE BES Requirements Workshop Worksheet - Brian Austin  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

time. The time-dependent Schroedinger equation for N electrons is a 3-N dimensional partial differential equation. Solutions to the time-dependent equation indicate that...

169

NERSC/DOE BES Requirements Workshop Worksheet - Greg Newman  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

invert both large scale seismic and EM data sets. To insure both data sets has similar spatial resolution, sesimic data will be Laplace-Fourier transformed before before...

170

BES Results on J/psi decays and Charmonium Transitions  

E-Print Network [OSTI]

Results are reported based on samples of 58 million $\\jpsi$ and 14 million $\\psip$ decays obtained by the BESII experiment. Improved branching fraction measurements are determined, including branching fractions for $\\jpsi\\to\\ppp$, $\\psip\\ra \\pi^0\\J$, $\\eta\\J$, $\\pi^0 \\pi^0 J/\\psi$, anything $J/\\psi$, and $\\psi(2S)\\ar\\gamma\\chi_{c1},\\gamma\\chi_{c2}\\ar\\gamma\\gamma\\jpsi$. The decay $J/\\psi \\to \\omega \\pi ^+\\pi ^-$ is studied. At low $\\pi \\pi$ mass, a large, broad peak due to the $\\sigma$ is observed, and its pole position is determined. Results are presented on $\\psi(2S)$ and $J/\\psi$ hadronic decays to $K^0_SpK^-\\bar n$ and $K^0_S\\bar p K^+n$ final states. No significant $\\Theta(1540)$ signal, the pentaquark candidate, is observed, and upper limits are set. An enhancement near the $m_p + M_{\\Lambda}$ mass threshold is observed in the $p\\bar{\\Lambda}$ invariant mass spectrum from $J/\\psi \\to p K^- \\bar{\\Lambda} + c.c.$ decays. It can be fit with an S-wave Breit-Wigner resonance with a mass $m=2075\\pm 12 (stat) \\pm 5 (syst)$ MeV and a width of $\\Gamma =90 \\pm 35 (stat) \\pm 9 (syst)$ MeV.

Frederick A. Harris

2004-07-20T23:59:59.000Z

171

NERSC/DOE BES Requirements Workshop Worksheet - Peter Cummings  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

1.1. Project Information - Molecular-Based Simulation of Complex and Nanostructured Fluids Document Prepared By Peter Cummings Project Title Molecular-Based Simulation of...

172

NERSC/DOE BES Requirements Workshop Worksheet - James Muckerman  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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

173

NERSC/DOE BES Requirements Workshop Worksheet - Greg Newman  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

reach in 5 years. To imageinvert geophysical data obtained from electromagnetic (EM), seismic and gravity surveys to obtain images of how geophysical attributes, such as...

174

NERSC/DOE BES Requirements Workshop Worksheet - Habib Najm  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Organizations Sandia National Laboratories Funding Agencies DOE SC DOE NSA NSF NOAA NIH Other: 2. Project Summary & Scientific Objectives for the Next 5 Years Please give a...

175

NERSC/DOE BES Requirements Workshop Worksheet - Thomas Miller  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

California Institute of Technology Funding Agencies DOE SC DOE NSA NSF NOAA NIH Other: 2. Project Summary & Scientific Objectives for the Next 5 Years Please give a...

176

NERSC/DOE BES Requirements Workshop Worksheet - Thomas Devereaux  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

support for these experiments. Developments in theory will be crucial to provide meaning to and understanding of results, to provide insights into the new physics revealed...

177

Collaborative Combustion Research with BES | Department of Energy  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

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178

NERSC/DOE BES Requirements Workshop Case Study Worksheets  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recovery challengeMultiscaleLogos NERSC LogosAttendees AttendeesAgenda

179

NERSC/DOE BES Requirements Workshop Organizing Committee  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recovery challengeMultiscaleLogos NERSC LogosAttendees

180

NERSC/DOE BES Requirements Workshop Reference Materials  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recovery challengeMultiscaleLogos NERSC LogosAttendeesParticipants

Note: This page contains sample records for the topic "network esnet bes" from the National Library of EnergyBeta (NLEBeta).
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181

NERSC/DOE BES Requirements Workshop Worksheet - Andrew Felmy  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recovery challengeMultiscaleLogos NERSC LogosAttendeesParticipantsAndrew Felmy Andrew

182

NERSC/DOE BES Requirements Workshop Worksheet - Brian Austin  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recovery challengeMultiscaleLogos NERSC LogosAttendeesParticipantsAndrew Felmy

183

NERSC/DOE BES Requirements Workshop Worksheet - Burkhard Militzer  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recovery challengeMultiscaleLogos NERSC LogosAttendeesParticipantsAndrew

184

NERSC/DOE BES Requirements Workshop Worksheet - Greg Newman  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recovery challengeMultiscaleLogos NERSC LogosAttendeesParticipantsAndrewGreg Newman

185

NERSC/DOE BES Requirements Workshop Worksheet - Habib Najm  

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186

NERSC/DOE BES Requirements Workshop Worksheet - James Muckerman  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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187

NERSC/DOE BES Requirements Workshop Worksheet - Malcolm Stocks  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recovery challengeMultiscaleLogos NERSCJeffrey B. Neaton Jeffrey B. NeatonMalcolm

188

NERSC/DOE BES Requirements Workshop Worksheet - Mark Jarrell  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recovery challengeMultiscaleLogos NERSCJeffrey B. Neaton Jeffrey B. NeatonMalcolmMark

189

NERSC/DOE BES Requirements Workshop Worksheet - Normand Modine  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recovery challengeMultiscaleLogos NERSCJeffrey B. Neaton Jeffrey B.

190

NERSC/DOE BES Requirements Workshop Worksheet - Peter Cummings  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recovery challengeMultiscaleLogos NERSCJeffrey B. Neaton Jeffrey B.Peter Cummings

191

NERSC/DOE BES Requirements Workshop Worksheet - Randy Cygan  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recovery challengeMultiscaleLogos NERSCJeffrey B. Neaton Jeffrey B.Peter

192

NERSC/DOE BES Requirements Workshop Worksheet - Thomas Devereaux  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recovery challengeMultiscaleLogos NERSCJeffrey B. Neaton Jeffrey B.PeterDevereaux

193

NERSC/DOE BES Requirements Workshop Worksheet - Thomas Miller  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recovery challengeMultiscaleLogos NERSCJeffrey B. Neaton Jeffrey

194

NERSC/DOE BES Requirements Workshop Worksheet - Tony Ladd  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recovery challengeMultiscaleLogos NERSCJeffrey B. Neaton JeffreyTony Ladd Tony Ladd

195

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

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment Surfaces and Interfaces Sample Environment: Magnet and6 th7525T HE F IRST EMembers

196

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

Office of Science (SC) Website

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched5 Industrial CarbonArticlesHumanJune 2008 Basic EnergyB. Grant Logan, 1980BERBERBudget

197

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

Office of Science (SC) Website

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched5 Industrial CarbonArticlesHumanJune 2008 Basic EnergyB. Grant Logan,

198

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

Office of Science (SC) Website

nuclear weapons dating back to the Manhattan Project, are being stored in underground tanks at USDOE sites such as Hanford and Savannah River. There is currently a search for a...

199

NERSC/DOE BES Requirements Workshop Worksheet - Andrew Felmy  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

scale understanding of surface complexation reactions at oxide, oxyhydroxide, and silicate minerals through the use of molecular modeling calculations. Supercritical behavior...

200

Status for Learning Curves indlg ved BES temadag om  

E-Print Network [OSTI]

;Characteristics of technical changes in wind power technology · Up-scaling of turbines · Improved efficiency's Law": Size - in rated power - doubles every four years #12;On Experience Curves · Cost decreases assessment, forecasting, scenarios, the development of energy models, etc. Researchers will use values

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

Sandia National Laboratories: BES Web Highlight: Single-mode gallium  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive SolarEducation Programs: CroSSlinksHumannitride nanowire lasers

202

DavenportNERSC-BES-10-8-2013.ppt  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation Proposed Newcatalyst phasesData Files Data Files 1 EIA Best EstimateProduction Research and

203

BES_NERSC_Workshop_Final_P6.pptx  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD)ProductssondeadjustsondeadjustAboutScience Program CumulusA t iBudget Basic

204

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

Office of Science (SC) Website

technology. Link to the LBNL press release> External link Link to the ACTIAC web site> External link Link to the ACTIAC Excellence.Gov 2009 Awards web site> External...

205

ESnet's Tierney, Zurawski to Present at Workshop on perfSONAR Best  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to

206

Microsoft Word - ESnet SRS SC12 paper camera ready.docx  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recovery challenge fundProject8 - OutlineWIPP Emergency Operations Centerbig-data

207

15-CS-1035 ESnet EuropeUS Map_EEX_v4  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert SouthwestTechnologies | BlandinePrincetonOPT OpticsFrequently Asked12 tips

208

Secure and efficient wireless networks  

E-Print Network [OSTI]

CA Systems and Network Administrator California Integrationgives the campus network administrators complete admissionin engineered networks, enterprise administrators try to

Bellardo, John Michael

2006-01-01T23:59:59.000Z

209

Network Connections  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert Southwest Regionat Cornell Batteries &NSTCurrent Issues &Network » Network

210

Tourism networks and computer networks  

E-Print Network [OSTI]

The body of knowledge accumulated in recent years on the structure and the dynamics of complex networks has offered useful insights on the behaviour of many natural and artificial complex systems. The analysis of some of these, namely those formed by companies and institutions, however, has proved problematical mainly for the difficulties in collecting a reasonable amount of data. This contribution argues that the World Wide Web can provide an efficient and effective way to gather significant samples of networked socio-economic systems to be used for network analyses and simulations. The case discussed refers to a tourism destination, the fundamental subsystem of an industry which can be considered one of the most important in today's World economy.

Baggio, Rodolfo

2008-01-01T23:59:59.000Z

211

Network Embedded Systems Sensor Networks  

E-Print Network [OSTI]

Battery Energy Reserve Manager = Bank Each task requests an account with conditions W fraction Tracking 9 #12;Virtual Battery: An Energy Reserve Abstraction for Embedded Sensor Networks Qing Cao of real battery allocated N number of energy installments L expected lifetime of the task C

Amir, Yair

212

Dynamic NetworksDynamic Networks ApplicationsApplications  

E-Print Network [OSTI]

Satellite Constellation Network #12;Satellite and Undersea Cable Networks #12;Energy NetworksEnergy Networks Electric Power Network #12;Duke Energy Gas Pipeline Network #12;Components of Some Common Physical Networks Roads, Airline Routes, Railroad Track Automobiles, Trains, and Planes, Manufacturing and logistics

Nagurney, Anna

213

E-Print Network 3.0 - area network performance Sample Search...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

networks - network performance modeling - wireless networks - wireless sensor networks - ad hoc ... Source: Iowa State University, Office of Biorenewables Programs Collection:...

214

Network Maps  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recoveryLaboratory | NationalJohn Cyber SecurityAlamos NationalNeil Network Traffic

215

Network Policies  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recoveryLaboratory | NationalJohn Cyber SecurityAlamos NationalNeil NetworkAcceptable

216

The Network  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert Southwest RegionatSearchScheduled System BurstLong Term ScheduleProject HomeTheNetwork

217

attractor neural network: Topics by E-print Network  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Convolutional Neural Networks 5 Mixture of density networks Englebienne, Gwenn 138 Fuzzy neural network pattern recognition algorithm for classification of the events in...

218

analog neural network: Topics by E-print Network  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Convolutional Neural Networks 5 Mixture of density networks Englebienne, Gwenn 118 Fuzzy neural network pattern recognition algorithm for classification of the events in...

219

attractor neural networks: Topics by E-print Network  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Convolutional Neural Networks 5 Mixture of density networks Englebienne, Gwenn 138 Fuzzy neural network pattern recognition algorithm for classification of the events in...

220

algebraic network coding: Topics by E-print Network  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

and robust networking. For networks which are restricted to using linear network codes, we find necessary and sufficient conditions for the feasibility of any given set of...

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

Professional Networking Michelle Burdick  

E-Print Network [OSTI]

Development Green Sustainability Professionals #12;How To Use LinkedIn Groups Group Discussions: ­ Members can Environmental Careers Network GIS Professional & Networking Green Jobs & Career Network Sustainable EnergyLinkedIn Professional Networking Workshop Michelle Burdick 24 January 2014 #12;· Building a Strong

Awtar, Shorya

222

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

223

Survivability Considerations in Wireless Networks  

E-Print Network [OSTI]

pre-configured by the network administrator, otherwise thedetermined by the network administrator according to if thebut also allow a network administrator to determine the

Ning, Jianxia

2012-01-01T23:59:59.000Z

224

Solving stochasic PERT networks exactly using hybrid Bayesian networks  

E-Print Network [OSTI]

In this paper, we describe how a stochastic PERT network can be formulated as a Bayesian network. We approximate such PERT Bayesian network by mixtures of Gaussians hybrid Bayesian networks. Since there exists algorithms for solving mixtures...

Cinicioglu, Esma N.; Shenoy, Prakash P.

2006-09-16T23:59:59.000Z

225

Networking Call for Residential Network Members Peer Exchange...  

Office of Environmental Management (EM)

Networking Call for Residential Network Members Peer Exchange Call Networking Call for Residential Network Members Peer Exchange Call March 12, 2015 12:30PM to 2:00PM EDT...

226

Building a Network Simulation Model of the Teragrid Network  

E-Print Network [OSTI]

Building a Network Simulation Model of the Teragrid Network Thomas Hacker Preston Smith* Computer in designing and using an accurate network simulation model of the Teragrid network, and the performance

Jiang, Wen

227

analysis network sevan: Topics by E-print Network  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Francesco Keywords: Knowledge Base, Social Network Analysis, Variety, Coherence, Industry lifecycles; exploration network analysis (SNA) within an evolutionary framework, to...

228

Interconnection networks  

DOE Patents [OSTI]

A network of interconnected processors is formed from a vertex symmetric graph selected from graphs GAMMA/sub d/(k) with degree d, diameter k, and (d + 1)exclamation/ (d /minus/ k + 1)exclamation processors for each d greater than or equal to k and GAMMA/sub d/(k, /minus/1) with degree d /minus/ 1, diameter k + 1, and (d + 1)exclamation/(d /minus/ k + 1)exclamation processors for each d greater than or equal to k greater than or equal to 4. Each processor has an address formed by one of the permutations from a predetermined sequence of letters chosen a selected number of letters at a time, and an extended address formed by appending to the address the remaining ones of the predetermined sequence of letters. A plurality of transmission channels is provided from each of the processors, where each processor has one less channel than the selected number of letters forming the sequence. Where a network GAMMA/sub d/(k, /minus/1) is provided, no processor has a channel connected to form an edge in a direction delta/sub 1/. Each of the channels has an identification number selected from the sequence of letters and connected from a first processor having a first extended address to a second processor having a second address formed from a second extended address defined by moving to the front of the first extended address the letter found in the position within the first extended address defined by the channel identification number. The second address is then formed by selecting the first elements of the second extended address corresponding to the selected number used to form the address permutations. 9 figs.

Faber, V.; Moore, J.W.

1988-06-20T23:59:59.000Z

229

Reliability Gain of Network Coding in Lossy Wireless Networks  

E-Print Network [OSTI]

Reliability Gain of Network Coding in Lossy Wireless Networks Majid Ghaderi Department of Computer that network coding improves network reliability by reducing the number of packet retransmissions in lossy networks. However, the extent of the reliability benefit of network coding is not known. This paper

Massachusetts at Amherst, University of

230

Evolution of Grain Boundary Networks in Extreme Radiation Environments  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series toESnet4:Epitaxial Thin Film XRDEvan FelixExperiments withof the Evolution

231

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

232

Using Neural Networks  

E-Print Network [OSTI]

unmeasurable parameters in a first-principles mathematical model of the engine. The network is trained using data derived from measured data taken on an auxiliary power unit (APU) engine (from an aircraft application). A discussion of the neural network...

Gabel, S.

233

Financial Networks Anna Nagurney  

E-Print Network [OSTI]

themselves, such as the Internet with electric power networks, financial networks, and transportation Automobiles, Trains, and Planes, Manufacturing and logistics Workstations, Distribution Points Processing Cables Radio Links Voice, Data, Video Energy Pumping Stations, Plants Pipelines, Transmission Lines Water

Nagurney, Anna

234

Membership Criteria: Better Buildings Residential Network | Department...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

Membership Criteria: Better Buildings Residential Network Membership Criteria: Better Buildings Residential Network Membership Criteria: Better Buildings Residential Network...

235

Network Economics Anna Nagurney  

E-Print Network [OSTI]

Cables Radio Links Voice, Data, Video Energy Pumping Stations, Plants Pipelines, Transmission Lines Water building evacuation models · DNA sequence alignment · assembly line balancing · compact book storage Network Satellite and Undersea Cable Networks Duke Energy Gas Pipeline Network Transportation

Nagurney, Anna

236

Virtual Gateway Network Documentation  

E-Print Network [OSTI]

Virtual Gateway Network Documentation Composed By: Stiven Andre Nikolai Gukov #12;Table of contents.3) VGNET as a network manager 2) VGNET explained 2.1) One PC with multiple Internet access points. 2 both routers. 1.3) VGNET as a network manager Let's look at figure 3 again. The perfect scenario we may

Segall, Adrian

237

Seaborg Briefs Kennedy| U.S. DOE Office of Science (SC)  

Office of Science (SC) Website

Energy Sciences (BES) BES Home About Staff Organization Chart .pdf file (46KB) BES Budget BES Committees of Visitors Directions Jobs Organizational History Germantown Natural...

238

Kennedy and the AEC Commissioners | U.S. DOE Office of Science...  

Office of Science (SC) Website

Energy Sciences (BES) BES Home About Staff Organization Chart .pdf file (46KB) BES Budget BES Committees of Visitors Directions Jobs Organizational History Germantown Natural...

239

AEC Headquarters | U.S. DOE Office of Science (SC)  

Office of Science (SC) Website

Energy Sciences (BES) BES Home About Staff Organization Chart .pdf file (46KB) BES Budget BES Committees of Visitors Directions Jobs Organizational History Germantown Natural...

240

Seaborg and Kennedy in the AEC Building | U.S. DOE Office of...  

Office of Science (SC) Website

in the AEC Building Basic Energy Sciences (BES) BES Home About Staff Organization Chart .pdf file (46KB) BES Budget BES Committees of Visitors Directions Jobs Organizational...

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

Network topology analysis.  

SciTech Connect (OSTI)

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

242

A network security monitor  

SciTech Connect (OSTI)

The study of security in computer networks is a rapidly growing area of interest because of the proliferation of networks and the paucity of security measures in most current networks. Since most networks consist of a collection of inter-connected local area networks (LANs), this paper concentrates on the security-related issues in a single broadcast LAN such as Ethernet. Specifically, we formalize various possible network attacks and outline methods of detecting them. Our basic strategy is to develop profiles of usage of network resources and then compare current usage patterns with the historical profile to determine possible security violations. Thus, our work is similar to the host-based intrusion-detection systems such as SRI's IDES. Different from such systems, however, is our use of a hierarchical model to refine the focus of the intrusion-detection mechanism. We also report on the development of our experimental LAN monitor currently under implementation. Several network attacks have been simulated and results on how the monitor has been able to detect these attacks are also analyzed. Initial results demonstrate that many network attacks are detectable with our monitor, although it can surely be defeated. Current work is focusing on the integration of network monitoring with host-based techniques. 20 refs., 2 figs.

Heberlein, L.T.; Dias, G.V.; Levitt, K.N.; Mukherjee, B.; Wood, J.; Wolber, D. (California Univ., Davis, CA (USA). Dept. of Electrical Engineering and Computer Science)

1989-11-01T23:59:59.000Z

243

Research Network E-Mobility Research Network  

E-Print Network [OSTI]

-Mobility Research Network Energy Storage Drive Train Vehicle System Technology (Electrics & Electronics) Materials Chair: ELECTRICAL DRIVES 1. Energy Efficient Electric Drives Improvement of low load efficiency School of Process Science School of Electrical Engineering and Computer Science School of Mechanical

Berlin,Technische Universität

244

Random Walks and Electrical Networks Electrical Network  

E-Print Network [OSTI]

Feb 4, 2008 ... Random Walks and Electrical Networks. Hitting Probabilities and Voltage. Voltage. Connect a 1V battery to nodes a and b. ix,y is the current...

Jonathon Peterson

2008-01-30T23:59:59.000Z

245

artifical neural network: Topics by E-print Network  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

8, Nos. 1-2 Cytological Diagnosis Based on Fuzzy Neural Networks max combined with a fuzzy neural network approach, for the discrimination of benign from malignant gastric...

246

artifical neural networks: Topics by E-print Network  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

8, Nos. 1-2 Cytological Diagnosis Based on Fuzzy Neural Networks max combined with a fuzzy neural network approach, for the discrimination of benign from malignant gastric...

247

artificial neural network: Topics by E-print Network  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

neural networks, for phosphene localisation are used Rattray, Magnus 63 Dynamic Pattern Recognition in Sport by Means of Artificial Neural Networks Computer Technologies...

248

artificial neural networks: Topics by E-print Network  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

neural networks, for phosphene localisation are used Rattray, Magnus 63 Dynamic Pattern Recognition in Sport by Means of Artificial Neural Networks Computer Technologies...

249

activity network sespan: Topics by E-print Network  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

social networks, a lot Gionis, Aristides 19 Evolving dynamical networks with transient cluster activity Nonlinear Sciences (arXiv) Summary: We study transient sequential dynamics...

250

analyzing interactome networks: Topics by E-print Network  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

into an organization's structure and dynamics. The creation and analysis of sample social media network datasets is described to illustrate types of enterprise networks and...

251

adolescent social networks: Topics by E-print Network  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

into an organization's structure and dynamics. The creation and analysis of sample social media network datasets is described to illustrate types of enterprise networks and...

252

animal social networks: Topics by E-print Network  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

into an organization's structure and dynamics. The creation and analysis of sample social media network datasets is described to illustrate types of enterprise networks and...

253

BER Science Network Requirements  

E-Print Network [OSTI]

Networking) David Benton, GLBRC/University of Wisconsin (and analysis tools. GLBRC currently comprises some 44 inter-year funding period of the GLBRC, while several terabytes of

Dart, Eli

2011-01-01T23:59:59.000Z

254

JAMMING COMMUNICATION NETWORKS UNDER COMPLETE ...  

E-Print Network [OSTI]

This paper describes a problem of interdicting/jamming communication networks in un- ... Jamming communication networks is an important problem but has.

2007-02-08T23:59:59.000Z

255

Water Network Design by MINLP  

E-Print Network [OSTI]

We propose a solution method for a water-network optimization problem using a ... The optimal design of a WDN (Water Distribution Network) consists, in its...

2008-02-12T23:59:59.000Z

256

Water Network Design by MINLP  

E-Print Network [OSTI]

Feb 13, 2008 ... We propose a solution method for a water-network optimization problem ... The optimal design of a WDN (Water Distribution Network) consists,...

2008-02-12T23:59:59.000Z

257

The simplicity of planar networks  

E-Print Network [OSTI]

source and observe the micro-tube network at six phases ofin a planar network-like structure of micro-tubes 33 . In

Viana, Matheus P; Strano, Emanuele; Bordin, Patricia; Barthelemy, Marc

2013-01-01T23:59:59.000Z

258

Analyzing Network-Wide Interactions Using Graphs: Techniques and Applications  

E-Print Network [OSTI]

IP networks. They enable network administrators to gain in-Network Managment Network Administrator Figure 1.1: Basica valuable tool for network administrators to detect

Iliofotou, Marios

2011-01-01T23:59:59.000Z

259

Comparative analysis of collaboration networks  

SciTech Connect (OSTI)

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

260

Essays on Network Formation  

E-Print Network [OSTI]

that may depend on the network of connections among the individuals that make up each group. I assume the existence of a single divisible good, such as a monetary prize, which will be divided amongst the members of the winning network. The probability...

Mueller, William Graham

2012-10-19T23:59:59.000Z

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

Honors Faculty Mentor Network  

E-Print Network [OSTI]

@uga.edu ELIZABETH MANLEY, Administrative Assistant eym@uga.edu KAREN NEWCOMB, Network Administrator knewcombHonors Faculty Mentor Network Providing Students with Friends on the Faculty Mentor Handbook 2006@uga.edu REBECCA CHENEY, Program Assistant rcheney@uga.edu PAULA LANGSTON, Administrative Associate fellows

Arnold, Jonathan

262

Seminar: Ad Hoc Networks Konrad Meier Seminar Ad Hoc Networks  

E-Print Network [OSTI]

1 Seminar: Ad Hoc Networks Konrad Meier Seminar Ad Hoc Networks Feasibility of an Aeronautical Mobile Ad Hoc Network Over the North Atlantic Corridor Daniel Medina, Felix Hoffmann, Serkan Ayaz;2 What is the idea? Ad Hoc Network in the North Atlantic Corridor ­ multihop air to air communication

Schindelhauer, Christian

263

Social Network Analysis Plugin (SNAP) for Mesh Networks  

E-Print Network [OSTI]

networks, called Mesh-Mon, that can help a team of system administrators (sysadmins) manage a wireless. In a wireless mesh network context, a system administrator should pay attention to "bridging nodes" sinceSocial Network Analysis Plugin (SNAP) for Mesh Networks Soumendra Nanda BAE Systems Burlington, MA

Kotz, David

264

New Paradigm for Seismic Networks: Crowd-Sourced Seismic Networks,  

E-Print Network [OSTI]

#12;New Paradigm for Seismic Networks: Crowd-Sourced Seismic Networks, including Buildings Tom Egill Hauksson #12;SCSN: what does it encompass? · ~360 Seismic Stations · ~60 stations from partners SCSN/SCEDC total of ~26 FTE's #12;Crowd Sourced Networks · Current broadband seismic network

Greer, Julia R.

265

Introduction to Network Science 1 Introduction to Network Science  

E-Print Network [OSTI]

of nuclear power plant Actors, Reactors and More #12;Introduction to Network Science 12 #12;Introduction A 80 B 60 C 0 F #12;Introduction to Network Science 2 Recommended Books (optional) #12;Introduction to Network Science 3 Recommended Books (optional) #12;Introduction to Network Science 4 facebook #12

Safro, Ilya

266

Vulnerability Analysis of Complex Networks from Transportation Networks to  

E-Print Network [OSTI]

and Methodological Tools · The Braess Paradox · Transportation and Critical Infrastructure Networks · A New Network Performance/Efficiency Measure with Applications to Critical Infrastructure Networks · A New Approach infrastructure systems and emphasis on transportation, will be the focus of this talk. #12;Bus Network Rail

Nagurney, Anna

267

Collective network routing  

DOE Patents [OSTI]

Disclosed are a unified method and apparatus to classify, route, and process injected data packets into a network so as to belong to a plurality of logical networks, each implementing a specific flow of data on top of a common physical network. The method allows to locally identify collectives of packets for local processing, such as the computation of the sum, difference, maximum, minimum, or other logical operations among the identified packet collective. Packets are injected together with a class-attribute and an opcode attribute. Network routers, employing the described method, use the packet attributes to look-up the class-specific route information from a local route table, which contains the local incoming and outgoing directions as part of the specifically implemented global data flow of the particular virtual network.

Hoenicke, Dirk

2014-12-02T23:59:59.000Z

268

SYNTHESIS LECTURES ON COMMUNICATION NETWORKS  

E-Print Network [OSTI]

Pricing Jean Walrand, Series Editor Jianwei Huang Lin Gao SYNTHESIS LECTURES ON COMMUNICATION NETWORKS CM& Morgan Claypool Publishers& Wireless Network Pricing Jean Walrand, Series Editor Jianwei Huang Lin Gao SYNTHESIS LECTURES ON COMMUNICATION NETWORKS CM& Morgan Claypool Publishers& Wireless Network Pricing Jean

Huang, Jianwei

269

E-Print Network 3.0 - ad hoc networking Sample Search Results  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

networking Search Powered by Explorit Topic List Advanced Search Sample search results for: ad hoc networking...

270

E-Print Network 3.0 - ad hoc networks Sample Search Results  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

networks Search Powered by Explorit Topic List Advanced Search Sample search results for: ad hoc networks...

271

E-Print Network 3.0 - ad hoc network Sample Search Results  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

network Search Powered by Explorit Topic List Advanced Search Sample search results for: ad hoc network...

272

Reverse Engineering User Behaviors From Network Traffic  

E-Print Network [OSTI]

Hunter enable ISPs, network administrators and researchersto help ISPs and network administrators to better understandHunter, ISPs and network administrators can learn which

Xie, Guowu

2013-01-01T23:59:59.000Z

273

Fact Sheet: Better Buildings Residential Network  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

Fact Sheet BETTER BUILDINGS RESIDENTIAL NETWORK Learn more at betterbuildings.energy.govbbrn What Is the Residential Network? The Better Buildings Residential Network connects...

274

Fact Sheet: Better Buildings Residential Network | Department...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

Fact Sheet: Better Buildings Residential Network Fact Sheet: Better Buildings Residential Network Fact Sheet: Better Buildings Residential Network, increasing the number of...

275

April 5, 2005 Professor Richard D. Hazeltine, Chair  

E-Print Network [OSTI]

community on ITER BES = with BES on nano-designed materials NNSA = with NNSA Interdependencies: Broadly

276

Optical Network Testbeds Workshop  

SciTech Connect (OSTI)

This is the summary report of the third annual Optical Networking Testbed Workshop (ONT3), which brought together leading members of the international advanced research community to address major challenges in creating next generation communication services and technologies. Networking research and development (R&D) communities throughout the world continue to discover new methods and technologies that are enabling breakthroughs in advanced communications. These discoveries are keystones for building the foundation of the future economy, which requires the sophisticated management of extremely large qualities of digital information through high performance communications. This innovation is made possible by basic research and experiments within laboratories and on specialized testbeds. Initial network research and development initiatives are driven by diverse motives, including attempts to solve existing complex problems, the desire to create powerful new technologies that do not exist using traditional methods, and the need to create tools to address specific challenges, including those mandated by large scale science or government agency mission agendas. Many new discoveries related to communications technologies transition to wide-spread deployment through standards organizations and commercialization. These transition paths allow for new communications capabilities that drive many sectors of the digital economy. In the last few years, networking R&D has increasingly focused on advancing multiple new capabilities enabled by next generation optical networking. Both US Federal networking R&D and other national R&D initiatives, such as those organized by the National Institute of Information and Communications Technology (NICT) of Japan are creating optical networking technologies that allow for new, powerful communication services. Among the most promising services are those based on new types of multi-service or hybrid networks, which use new optical networking technologies. Several years ago, when many of these optical networking research topics were first being investigated, they were the subject of controversial debate. The new techniques challenged many long-held concepts related to architecture and technology. However, today all major networking organizations are transitioning toward infrastructure that incorporates these new concepts. This progress has been assisted through the series of Optical Networking Testbed Workshops (ONT). The first (ONT1) outlined a general framework of key issues and topics and developed a series of recommendations (www.nren.nasa.gov/workshop7). The second (ONT2) developed a common vision of optical network technologies, services, infrastructure, and organizations (www.nren.nasa.gov/workshop8). Processes that allow for a common vision encourage widespread deployment of these types of resources among advanced networking communities. Also, such a shared vision enables key concepts and technologies to migrate from basic research testbeds to wider networking communities. The ONT-3 workshop built on these earlier activities by expanding discussion to include additional considerations of the international interoperability and of greater impact of optical networking technology on networking in general. In accordance with this recognition, the workshop confirmed that future-oriented research and development is indispensable to fundamentally change the current Internet architecture to create a global network incorporating completely new concepts. The workshop also recognized that the first priority to allow for this progress is basic research and development, including international collaborative activities, which are important for the global realization of interoperability of a new generation architecture.

Joe Mambretti

2007-06-01T23:59:59.000Z

277

Thermal network reduction  

SciTech Connect (OSTI)

A method is presented for reducing the number of elements required in a thermal network representation of a building. The method is based on matching the actual building response at two frequencies, the diurnal response and 3-day response. The procedure provides a straightforward methodology for combining all the various materials inside a discrete building zone into a few nodes while retaining a high degree of accuracy in the dynamic response. An example is given showing a comparison between a large network and the reduced network.

Balcomb, J.D.

1983-06-01T23:59:59.000Z

278

Thermal network reduction  

SciTech Connect (OSTI)

A method is presented for reducing the number of elements required in a thermal network representation of a building. The method is based on matching the actual building response at two frequencies, the diurnal response and 3-day response. The procedure provides a straightforward methodology for combining all the various materials inside a discrete building zone into a few nodes while retaining a high degree of accuracy in the dynamic response. An example is given showing a comparison between a large network and the reduced network.

Balcomb, J.D.

1983-01-01T23:59:59.000Z

279

ENVIRONMENTAL LAW NETWORK  

E-Print Network [OSTI]

ENVIRONMENTAL LAW NETWORK INTERNATIONAL RSEAU INTERNATIONAL DE DROIT DE LENVIRONNEMENT INTERNATIONALES NETZWERK UMWELTRECHT EU Enforcement Policy of Community Environmental law as presented in the Commission Communication on implementing European Community Environmental law Marta Ballesteros The direct

Paris-Sud XI, Universit de

280

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

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

Optimization in Networks  

E-Print Network [OSTI]

The recent surge in the network modeling of complex systems has set the stage for a new era in the study of fundamental and applied aspects of optimization in collective behavior. This Focus Issue presents an extended view of the state of the art in this field and includes articles from a large variety of domains where optimization manifests itself, including physical, biological, social, and technological networked systems.

Adilson E. Motter; Zoltan Toroczkai

2007-07-07T23:59:59.000Z

282

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

283

Instructions for Using Virtual Private Network (VPN)  

Broader source: Energy.gov [DOE]

Virtual Private Network (VPN) provides access to network drives and is recommended for use only from a EITS provided laptop.

284

In Vitro Perfused Human Capillary Networks  

E-Print Network [OSTI]

during vessel network formation, micro- spheres traversedof a living network of dynamic human capillaries in a micro-

Moya, Monica L.; Hsu, Yu-Hsiang; Lee, Abraham P.; Hughes, Christopher C.W.; George, Steven C.

2013-01-01T23:59:59.000Z

285

DOE/BES Workshop on Clean and Efficient Combustion of 21st Century...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

DOEBES Workshop on Clean and Efficient Combustion of 21st Century Transportation Fuels DOEBES Workshop on Clean and Efficient Combustion of 21st Century Transportation Fuels...

286

NERSC/DOE BES Requirements Workshop Worksheet - Lin-Wang Wang  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

systems in energy applications. We like to understand the band alignment in a heterojunction nanostructure, the carrier dynamics and electron-phonon interaction in such a...

287

Report on Hydrogen Storage Panel Findings in DOE-BES Sponsored...  

Broader source: Energy.gov (indexed) [DOE]

(Univ. Pittsburgh) Theory and Computation Thomas Klassen (GKSS- Research Center, Germany) Nanostuctured Hydrides Peter Eklund (Penn State Univ) Carbon related materials Basic...

288

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

Office of Science (SC) Website

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...

289

Seventh BES (Basic Energy Sciences) catalysis and surface chemistry research conference  

SciTech Connect (OSTI)

Research programs on catalysis and surface chemistry are presented. A total of fifty-seven topics are included. Areas of research include heterogeneous catalysis; catalysis in hydrogenation, desulfurization, gasification, and redox reactions; studies of surface properties and surface active sites; catalyst supports; chemical activation, deactivation; selectivity, chemical preparation; molecular structure studies; sorption and dissociation. Individual projects are processed separately for the data bases. (CBS)

Not Available

1990-03-01T23:59:59.000Z

290

NERSC/DOE BES Requirements Workshop Worksheet - Hai-Ping Cheng  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Organizations University of Florida Funding Agencies DOE SC DOE NSA NSF NOAA NIH Other: 2. Project Summary & Scientific Objectives for the Next 5 Years Please give a...

291

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

Office of Science (SC) Website

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched5 Industrial CarbonArticles News NewsAbout BerkeleyDOEBES User Facilities User

292

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

Office of Science (SC) Website

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched5 Industrial CarbonArticles News NewsAbout BerkeleyDOEBES User

293

NERSC/DOE BES Requirements Workshop Worksheet - Hai-Ping Cheng  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recovery challengeMultiscaleLogos NERSC LogosAttendeesParticipantsAndrewGregHai-Ping

294

NERSC/DOE BES Requirements Workshop Worksheet - Lin-Wang Wang  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recovery challengeMultiscaleLogos NERSCJeffrey B. Neaton Jeffrey B. Neaton

295

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

Office of Science (SC) Website

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched5 Industrial CarbonArticlesHuman ResourcesScienceHomeAboutLightAllenAnthonyOffice03

296

Archives of BES CRAs April 2010 | U.S. DOE Office of Science (SC)  

Office of Science (SC) Website

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched5 Industrial CarbonArticlesHuman ResourcesScienceHomeAboutLightAllenAnthonyOffice0310

297

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

Office of Science (SC) Website

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched5 Industrial CarbonArticlesHuman

298

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

Office of Science (SC) Website

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched5 Industrial CarbonArticlesHumanJune 2008 Basic EnergyB. Grant Logan,Committees of

299

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

Office of Science (SC) Website

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched5 Industrial CarbonArticlesHumanJune 2008 Basic EnergyB. Grant Logan,Committees

300

Vehicle Technologies Office Merit Review 2014: Collaborative Combustion Research with BES  

Broader source: Energy.gov [DOE]

Presentation given by Argonne National Laboratory at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about collaborative...

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

DOE/BES Workshop on Clean and Efficient Combustion of 21st Century  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-UpHeat Pump Models | Department DOE-STD-1171-2003Department of

302

Report on Hydrogen Storage Panel Findings in DOE-BES Sponsored Workshop on  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion | Department ofT ib l L dDepartmentnews-flashesEnergy byNuclear Reactor August S.8,

303

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

Office of Science (SC) Website

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched5 IndustrialIsadore Perlman, 1960RealStephanieUseful2-3,Atmospheric

304

DOE-BES Chemical Sciences Highlights of Progress in Separations Sciences  

Office of Science (SC) Website

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched5 IndustrialIsadore Perlman,Bios High Energy PhysicsU.S. DOESolarCurrentDOEOffice

305

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

Office of Science (SC) Website

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched5 IndustrialIsadore Perlman,BiosScience (SC)Supply and Demand

306

Expanding the Repertoire of Chalcogenide Nanocrystal Networks: Ag2Se Gels  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series toESnet4:Epitaxial Thin Film XRDEvanExecutiveSRD-13 1ExhibitsExpandedand

307

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

308

amacrine cell network: Topics by E-print Network  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

but also helps improve the QoS of the core network and saves the carriers' OPEX and CAPEX on their core networks. Ouyang, Ye; 10.5121ijngn.2010.2105 2010-01-01 64 The...

309

Introduction to Network Analysis 1 Introduction to Network Analysis  

E-Print Network [OSTI]

of movie actors Transportation and logistics network of nuclear power plant Actors, Reactors and More #12). Points Grade 92 A 80 B 60 C 0 F #12;Introduction to Network Analysis 2 Recommended Books (optional

Safro, Ilya

310

Green Networks: Energy Efficient Design for Optical Networks Balagangadhar G. Bathula, Jaafar M. H. Elmirghani  

E-Print Network [OSTI]

Green Networks: Energy Efficient Design for Optical Networks Balagangadhar G. Bathula, Jaafar M. H in backbone networks such as optical networks increase. Energy consumption of optical networks is an important the energy consumption of optical networks. We propose sleep cycle protocols for use in the network nodes

Bathula, Balagangadhar G

311

Mobile Network Management and Robust Spatial Retreats via Network Dynamics  

E-Print Network [OSTI]

1 Mobile Network Management and Robust Spatial Retreats via Network Dynamics Ke Ma, Yanyong Zhang., Piscataway, NJ 08854. Abstract-- The mobility provided by mobile ad hoc and sen- sor networks will facilitate new mobility-oriented services. Recent work has demonstrated that, for many issues, mobility

Zhang, Yanyong

312

Synchronization of Power Networks: Network Reduction and Effective Resistance  

E-Print Network [OSTI]

Synchronization of Power Networks: Network Reduction and Effective Resistance Florian D¨orfler Barbara, Santa Barbara, CA 93106 USA (e-mail: {dorfler,bullo}@engineering.ucsb.edu). Abstract in a network-reduced power system. Among other things, D¨orfler and Bullo (2010b) provided a solution

Bullo, Francesco

313

Chapters 6 & 8 Wireless Networks  

E-Print Network [OSTI]

for sending packets between wired network and wireless host(s) in its "area" e.g., cell towers, 802.11 access protocol coordinates link access various data rates, transmission distance Elements of a wireless network

Lu, Enyue "Annie"

314

Video transmission over wireless networks  

E-Print Network [OSTI]

Compressed video bitstream transmissions over wireless networks are addressed in this work. We first consider error control and power allocation for transmitting wireless video over CDMA networks in conjunction with multiuser detection. We map a...

Zhao, Shengjie

2005-08-29T23:59:59.000Z

315

Computer Systems and Network Manager  

E-Print Network [OSTI]

Computer Systems and Network Manager Fort Collins, Colorado POSITION A Computers Systems activities. RESPONSIBILITIES The successful candidate will perform computer systems and network administration, including computer hardware, systems software, applications software, and all configurations

316

Mobility in Wireless Sensor Networks  

E-Print Network [OSTI]

A MAV D C ADV E D Micro Air Vehicle Network Manager C B D CA B A F A D B A E Micro Air Vehicle Network Manager C B MAV

Mehta, Ankur Mukesh

2012-01-01T23:59:59.000Z

317

E-Print Network 3.0 - adaptive dynamic networks Sample Search...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

results for: adaptive dynamic networks Page: << < 1 2 3 4 5 > >> 1 Bio-Networking Architecture PI: Tatsuya Suda, University of California, Irvine Summary: the Bio- Networking...

318

Data Network Equipment Energy Use and Savings Potential in Buildings  

E-Print Network [OSTI]

and interviews with network administrators and serviceinterviews with network administrators, home network owners,selected by the network administrator. Switches and routers

Lanzisera, Steven

2010-01-01T23:59:59.000Z

319

VEHICLE NETWORKS: ACHIEVING REGULAR FORMATION  

E-Print Network [OSTI]

VEHICLE NETWORKS: ACHIEVING REGULAR FORMATION MADALENA CHAVES, ROBERT DAY, LUCIA GOMEZ a network of vehicles exchanging information among themselves with the intention of achieving a specified the performance of the vehicle network. A stochastic model for information flow is also considered, allowing

320

Synchronization in complex networks  

SciTech Connect (OSTI)

Synchronization processes in populations of locally interacting elements are in the focus of intense research in physical, biological, chemical, technological and social systems. The many efforts devoted to understand synchronization phenomena in natural systems take now advantage of the recent theory of complex networks. In this review, we report the advances in the comprehension of synchronization phenomena when oscillating elements are constrained to interact in a complex network topology. We also overview the new emergent features coming out from the interplay between the structure and the function of the underlying pattern of connections. Extensive numerical work as well as analytical approaches to the problem are presented. Finally, we review several applications of synchronization in complex networks to different disciplines: biological systems and neuroscience, engineering and computer science, and economy and social sciences.

Arenas, A.; Diaz-Guilera, A.; Moreno, Y.; Zhou, C.; Kurths, J.

2007-12-12T23:59:59.000Z

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.


321

Directory Enabled Policy Based Networking  

SciTech Connect (OSTI)

This report presents a discussion of directory-enabled policy-based networking with an emphasis on its role as the foundation for securely scalable enterprise networks. A directory service provides the object-oriented logical environment for interactive cyber-policy implementation. Cyber-policy implementation includes security, network management, operational process and quality of service policies. The leading network-technology vendors have invested in these technologies for secure universal connectivity that transverses Internet, extranet and intranet boundaries. Industry standards are established that provide the fundamental guidelines for directory deployment scalable to global networks. The integration of policy-based networking with directory-service technologies provides for intelligent management of the enterprise network environment as an end-to-end system of related clients, services and resources. This architecture allows logical policies to protect data, manage security and provision critical network services permitting a proactive defense-in-depth cyber-security posture. Enterprise networking imposes the consideration of supporting multiple computing platforms, sites and business-operation models. An industry-standards based approach combined with principled systems engineering in the deployment of these technologies allows these issues to be successfully addressed. This discussion is focused on a directory-based policy architecture for the heterogeneous enterprise network-computing environment and does not propose specific vendor solutions. This document is written to present practical design methodology and provide an understanding of the risks, complexities and most important, the benefits of directory-enabled policy-based networking.

KELIIAA, CURTIS M.

2001-10-01T23:59:59.000Z

322

Power Control and Transmission Scheduling for Network Utility Maximization in Wireless Networks  

E-Print Network [OSTI]

Power Control and Transmission Scheduling for Network Utility Maximization in Wireless Networks Min power control and transmis- sion scheduling problem in wireless networks with average power constraints. Index Terms--Network utility maximization, power control, transmission scheduling, column generation I

Sharma, Vinod

323

Financial Networks Anna Nagurney  

E-Print Network [OSTI]

of Management University of Massachusetts Amherst, Massachusetts 01003 MEASURING SYSTEMIC RISK Conference and realizing a timely response to evolving events. Anna Nagurney Financial Networks #12;Characteristics by the intersection of supply and demand curves in the context of spatially separate markets in which transportation

Nagurney, Anna

324

Internet architecture Access networks  

E-Print Network [OSTI]

access points switch cellular tower Optical 8iber Network Core Internet links " connect end systems/routers/switches/access points " fiber, copper and radio " transmission rate " Message placed on one link end is delivered to the other end " No contention for use of transmission media

325

Transactional Network Platform: Applications  

SciTech Connect (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

326

TKN Telecommunication Networks Group  

E-Print Network [OSTI]

Lightpaths 10 3.3 Differences to related work 10 4 Scenarios 11 4.1 Networks and traffic 11 4.2 Power and CapEx components 15 5.3 Costs of energy savings 16 6 Conclusion 19 References 20 #12;2 List of Acronyms CapEx

Wichmann, Felix

327

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

328

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

329

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

330

EBONEEUROPEAN BIODIVERSITY OBSERVATION NETWORK  

E-Print Network [OSTI]

EBONEEUROPEAN BIODIVERSITY OBSERVATION NETWORK Geert De Blust, Guy Laurijssens, Hans Van Calster of biodiversity monitoring through close collaboration of users and data providers #12;#12;Design of a monitoring-effectiveness Optimization of biodiversity monitoring through close collaboration of users and data providers Geert De Blust1

331

Lattice Gauge Tensor Networks  

E-Print Network [OSTI]

We present a unified framework to describe lattice gauge theories by means of tensor networks: this framework is efficient as it exploits the high amount of local symmetry content native of these systems describing only the gauge invariant subspace. Compared to a standard tensor network description, the gauge invariant one allows to speed-up real and imaginary time evolution of a factor that is up to the square of the dimension of the link variable. The gauge invariant tensor network description is based on the quantum link formulation, a compact and intuitive formulation for gauge theories on the lattice, and it is alternative to and can be combined with the global symmetric tensor network description. We present some paradigmatic examples that show how this architecture might be used to describe the physics of condensed matter and high-energy physics systems. Finally, we present a cellular automata analysis which estimates the gauge invariant Hilbert space dimension as a function of the number of lattice sites and that might guide the search for effective simplified models of complex theories.

Pietro Silvi; Enrique Rico; Tommaso Calarco; Simone Montangero

2014-10-12T23:59:59.000Z

332

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

333

Mobile Computing/Mobile Computing/Mobile Computing/Mobile Computing/ Mobile NetworksMobile NetworksMobile NetworksMobile Networks  

E-Print Network [OSTI]

Mobile Computing/Mobile Computing/Mobile Computing/Mobile Computing/ Mobile NetworksMobile NetworksMobile NetworksMobile Networks Mobile IP Prof. Chansu Yu 2 Contents IP for Wired Network Mobile IP Overview Basic Mobile IP Agent Discovery Registration Tunneling Route Optimization Current Topics #12;3 Simplified

Yu, Chansu

334

Securing Ad Hoc Networks Lidong Zhou  

E-Print Network [OSTI]

Securing Ad Hoc Networks Lidong Zhou Department of Computer Science Zygmunt J. Haas School of Electrical Engineering Cornell University Ithaca, NY 14853 Abstract Ad hoc networks are a new wireless networking paradigm for mobile hosts. Unlike traditional mobile wireless networks, ad hoc networks do

Schneider, Fred B.

335

area network wlan: Topics by E-print Network  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

wireless network, 802.11, WLAN, security, scalability. 1 Keren Tan; Chris Mcdonald; Bennet Vance; Chrisil Arackaparambil; Sergey Bratus; David Kotz 266 A 60 GHz Wireless Home...

336

applying neural networks: Topics by E-print Network  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

discrimination of benign from malignant gastric neural network classifier, an efficient pattern recognition approach, is used to classify benign Likas, Aristidis 48 A conjugate...

337

adaptive neural networks: Topics by E-print Network  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

their spatial scale. Applications of the new techn... Jonathan A. Marshall 1995-01-01 46 Fuzzy neural network pattern recognition algorithm for classification of the events in...

338

applying neural network: Topics by E-print Network  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

discrimination of benign from malignant gastric neural network classifier, an efficient pattern recognition approach, is used to classify benign Likas, Aristidis 48 A conjugate...

339

automata neural networks: Topics by E-print Network  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

and genetic programming. In this line of research, we have also Cho, Sung-Bae 115 Fuzzy neural network pattern recognition algorithm for classification of the events in...

340

adaptive neural network: Topics by E-print Network  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

their spatial scale. Applications of the new techn... Jonathan A. Marshall 1995-01-01 46 Fuzzy neural network pattern recognition algorithm for classification of the events in...

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

artificial neutral network: Topics by E-print Network  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

it was proposed that the theory of neutral mutations Fernandez, Thomas 48 Dynamics of artificial spin ice: a continuous honeycomb network MIT - DSpace Summary: We model the...

342

artificial immune networks: Topics by E-print Network  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

if the learning resides purely in the weights of fixed Fernandez, Thomas 115 Dynamics of artificial spin ice: a continuous honeycomb network MIT - DSpace Summary: We model the...

343

artificial neuron networks: Topics by E-print Network  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

machine-learning algorithm, inspired by the immune Kent, University of 68 Dynamics of artificial spin ice: a continuous honeycomb network MIT - DSpace Summary: We model the...

344

artificial neuronal networks: Topics by E-print Network  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

machine-learning algorithm, inspired by the immune Kent, University of 68 Dynamics of artificial spin ice: a continuous honeycomb network MIT - DSpace Summary: We model the...

345

acquisition computer network: Topics by E-print Network  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

H. Richter, R. Kleber, M. Ohlenroth acquisition purposes commercially available SCI Zachmann, Gabriel 15 Model-Driven Data Acquisition in Sensor Networks CiteSeer Summary:...

346

Supporting Advanced Scientific Computing Research Basic Energy Sciences Biological  

E-Print Network [OSTI]

and Environmental Research · Fusion Energy Sciences · High Energy Physics · Nuclear Physics IPv6 SNMP Network · Communicate using IPv6 addressing when monitoring router/switch status and receiving real-time router/switch initiated alerts within the ESnet · Verify the operational status of both IPv4 and IPv6 protocols within

347

Online Submission ID: 0 Detecting Distributed Scans Using High-Performance Query-Driven  

E-Print Network [OSTI]

and destination ports, duration of connection, number of bytes exchanged and so forth. A year's worth of such data and Johnston 2005], traffic volume over ESnet, a production network servicing the U. S. Department of Energy analyzed. For example, to identify unusual activities on TCP ports, we may compute a histogram over

Geddes, Cameron Guy Robinson

348

Evolutionary approaches toward practical network coding  

E-Print Network [OSTI]

There have been numerous studies showing various benefits of network coding. However, in order to have network coding widely deployed in real networks, it is also important to show that the amount of overhead incurred by ...

Kim, Minkyu, 1976-

2008-01-01T23:59:59.000Z

349

Using Recurrent Networks for Dimensionality Reduction  

E-Print Network [OSTI]

This report explores how recurrent neural networks can be exploited for learning high-dimensional mappings. Since recurrent networks are as powerful as Turing machines, an interesting question is how recurrent networks ...

Jones, Michael J.

1992-09-01T23:59:59.000Z

350

Community structure in the phonological network  

E-Print Network [OSTI]

Community structure, which refers to the presence of densely connected groups within a larger network, is a common feature of several real-world networks from a variety of domains such as the human brain, social networks ...

Siew, Cynthia S. Q.

2013-08-27T23:59:59.000Z

351

HYBRID MODELING OF COMMUNICATION NETWORKS USING MODELICA  

E-Print Network [OSTI]

HYBRID MODELING OF COMMUNICATION NETWORKS USING MODELICA Daniel Farnqvist Katrin Strandemar and simulation of communication networks using the modeling language Modelica are discussed. Congestion control model, that Modelica provides an efficient platform for the analysis of communication networks

Johansson, Karl Henrik

352

Decentring Policy Networks: Lessons and Prospects  

E-Print Network [OSTI]

of policy networks lacked a suitable micro-theory. As weexplains network behaviour as a product of the micro-levelof networks. Thus the decentred approach offers a micro-

Bevir, Mark

2009-01-01T23:59:59.000Z

353

Decentring Policy Networks: A Theoretical Agenda  

E-Print Network [OSTI]

In their view, at the micro-level, networks are comprised ofbetween the micro- (or individual), meso- (or network), andpolicy networks as a meso-level concept. It links the micro-

Bevir, Mark

2009-01-01T23:59:59.000Z

354

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

355

Hybrid Routing in Delay Tolerant Networks.  

E-Print Network [OSTI]

??This work addresses the integration of today's infrastructure-based networks with infrastructure-less networks. The resulting Hybrid Routing System allows for communication over both network types and (more)

Mayer, Christoph P.

2012-01-01T23:59:59.000Z

356

Hybrid routing in delay tolerant networks.  

E-Print Network [OSTI]

??This work addresses the integration of today\\'s infrastructure-based networks with infrastructure-less networks. The resulting Hybrid Routing System allows for communication over both network types and (more)

Mayer, Christoph P.

2012-01-01T23:59:59.000Z

357

Modular sensor network node  

DOE Patents [OSTI]

A distributed wireless sensor network node is disclosed. The wireless sensor network node includes a plurality of sensor modules coupled to a system bus and configured to sense a parameter. The parameter may be an object, an event or any other parameter. The node collects data representative of the parameter. The node also includes a communication module coupled to the system bus and configured to allow the node to communicate with other nodes. The node also includes a processing module coupled to the system bus and adapted to receive the data from the sensor module and operable to analyze the data. The node also includes a power module connected to the system bus and operable to generate a regulated voltage.

Davis, Jesse Harper Zehring (Berkeley, CA); Stark, Jr., Douglas Paul (Tracy, CA); Kershaw, Christopher Patrick (Hayward, CA); Kyker, Ronald Dean (Livermore, CA)

2008-06-10T23:59:59.000Z

358

Asymptotics of Relativistic Spin Networks  

E-Print Network [OSTI]

The stationary phase technique is used to calculate asymptotic formulae for SO(4) Relativistic Spin Networks. For the tetrahedral spin network this gives the square of the Ponzano-Regge asymptotic formula for the SU(2) 6j symbol. For the 4-simplex (10j-symbol) the asymptotic formula is compared with numerical calculations of the Spin Network evaluation. Finally we discuss the asymptotics of the SO(3,1) 10j-symbol.

John W Barrett; Christopher M Steele

2003-01-31T23:59:59.000Z

359

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

360

Helper's Network Gazette August 1994  

E-Print Network [OSTI]

Helpers Network Gazette - August 1994 file:///K|/...t/Helper's%20Gazette%20Newsletter/Beauty%20and%20the%20Beast%20Helper's%20Gazette%201994-08%20(August)%20.htm[3/31/2013 5:37:11 PM] The Helpers' Network GAZETTE - August 1994 a monthly newsletter...-i-ana, Nan can make copies. Any of these videos available for $8.50 from Helpers' Network. Helpers Network Gazette - August 1994 file:///K|/...t/Helper's%20Gazette%20Newsletter/Beauty%20and%20the%20Beast%20Helper's%20Gazette%201994-08%20(August)%20.htm[3...

1994-01-01T23:59:59.000Z

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

Power network analysis and optimization  

E-Print Network [OSTI]

hierarchical power distribution design with a power tree [T. Roy, Power distribution system design methodology andChen, 3D Power Distribution Network Co-design for Nanascale

Zhang, Wanping

2009-01-01T23:59:59.000Z

362

Power network analysis and optimization  

E-Print Network [OSTI]

chip power supply network optimization using multigrid-basedchip decoupling capacitor optimization for high- performanceSapatnekar, Analysis and optimization of structured power/

Zhang, Wanping

2009-01-01T23:59:59.000Z

363

Imprinted Networks as Chiral Pumps  

E-Print Network [OSTI]

We investigate the interaction between a chirally imprinted network and a solvent of chiral molecules. We find, a liquid crystalline polymer network is preferentially swollen by one component of a racemic solvent. This ability to separate is linked to the chiral order parameter of the network, and can be reversibly controlled via temperature or a mechanical deformation. It is maximal near the point at which the network loses its imprinted structure. One possible practical application of this effect would be a mechanical device for sorting mixed chiral molecules.

Y. Mao; M. Warner

2001-01-12T23:59:59.000Z

364

CONVERGENT NETWORK APPROXIMATION FOR THE ...  

E-Print Network [OSTI]

Even though the smaller networks produce useless negative lower bounds, they .... for MCM path planning, in Detection and Remediation Technologies for.

2007-09-12T23:59:59.000Z

365

Insecurity of Wireless Networks  

SciTech Connect (OSTI)

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

366

Progress of the Engine Combustion Network  

Broader source: Energy.gov (indexed) [DOE]

DOE Office of Vehicle Technologies Program Manager: Gurpreet Singh Introducing the Engine Combustion Network Introducing the Engine Combustion Network * Collaborative modeling...

367

Southeast Energy Efficiency Alliance Launches Finance Network...  

Broader source: Energy.gov (indexed) [DOE]

Southeast Energy Efficiency Alliance Launches Finance Network Southeast Energy Efficiency Alliance Launches Finance Network Photo of two hands holding dollar bills shaped like a...

368

EA-1964: National Ecological Observation Network (NEON)  

Broader source: Energy.gov [DOE]

The National Science Foundation (NSF) prepared an EA that evaluated potential environmental impacts of the proposed National Ecological Observation Network (NEON), a continental-scale network of...

369

Better Buildings Residential Network Case Study: Partnerships...  

Energy Savers [EERE]

Case Study: Partnerships Better Buildings Residential Network Case Study: Partnerships Better Buildings Residential Network Case Study: Partnerships, from the U.S. Department of...

370

Better Buildings Residential Network Orientation Peer Exchange...  

Broader source: Energy.gov (indexed) [DOE]

Better Buildings Residential Network Orientation Peer Exchange Webinar Better Buildings Residential Network Orientation Peer Exchange Webinar September 11, 2014 7:00PM to 8:3...

371

Deadline-aware Broadcasting in Wireless Networks with Network Coding  

E-Print Network [OSTI]

on time. Index Terms--Broadcasting, broadcast tree, network coding, energy efficiency, deadline, NP 19122 Department of Electrical & Computer Engineering, New Jersey Institute of Technology, Newark, NJ of transmissions, which improves the energy efficiency of wireless networks. On the other hand, delaying

Wu, Jie

372

Wireless Network Interface Energy Conservation for Bottlenecked First Mile Networks  

E-Print Network [OSTI]

user using the limited upstream capacity of the home broad- band link. We analyze the behavior of two- posed by this behavior on a client side energy saving mechanism. We also describe techniques that allowWireless Network Interface Energy Conservation for Bottlenecked First Mile Networks Surendar

Chandra, Surendar

373

Ecological NetworksEcological Networks 15 September 2009  

E-Print Network [OSTI]

Antagonistic networks ­ Food webs Host parasite/parasitoid webs­ Hostparasite/parasitoid webs · Mutualistic networks ­ Plantseed disperser webs ­ Plantpollinator webs ­ Plantant webs Ings et al 2009 J Animal Ecol #12;Food websFood webs · Directed links denoteDirected links denote direction of energy flow http

Albert, Réka

374

Network Upgrade for the SLC: PEP II Network  

SciTech Connect (OSTI)

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

375

Network Bandwidth Utilization Forecast Model on High Bandwidth Network  

SciTech Connect (OSTI)

With the increasing number of geographically distributed scientific collaborations and the scale of the data size growth, it has become more challenging for users to achieve the best possible network performance on a shared network. We have developed a forecast model to predict expected bandwidth utilization for high-bandwidth wide area network. The forecast model can improve the efficiency of resource utilization and scheduling data movements on high-bandwidth network to accommodate ever increasing data volume for large-scale scientific data applications. Univariate model is developed with STL and ARIMA on SNMP path utilization data. Compared with traditional approach such as Box-Jenkins methodology, our forecast model reduces computation time by 83.2percent. It also shows resilience against abrupt network usage change. The accuracy of the forecast model is within the standard deviation of the monitored measurements.

Yoo, Wucherl; Sim, Alex

2014-07-07T23:59:59.000Z

376

Giant Magnetic Effects Induced in Hybrid Materials | U.S. DOE...  

Office of Science (SC) Website

Giant Magnetic Effects Induced in Hybrid Materials Basic Energy Sciences (BES) BES Home About Research Facilities Science Highlights Benefits of BES Funding Opportunities Basic...

377

Artificial Spin Ice - A New Playground to Better Understand Magnetism...  

Office of Science (SC) Website

Artificial Spin Ice - A New Playground to Better Understand Magnetism Basic Energy Sciences (BES) BES Home About Research Facilities Science Highlights Benefits of BES Funding...

378

Smarter Smart Windows | U.S. DOE Office of Science (SC)  

Office of Science (SC) Website

Smarter Smart Windows Basic Energy Sciences (BES) BES Home About Research Facilities Science Highlights Benefits of BES Funding Opportunities Basic Energy Sciences Advisory...

379

Understanding Nature's Choreography in Batteries | U.S. DOE Office...  

Office of Science (SC) Website

Understanding Nature's Choreography in Batteries Basic Energy Sciences (BES) BES Home About Research Facilities Science Highlights Benefits of BES Funding Opportunities Basic...

380

For "Ribbons" of Graphene, Width Matters | U.S. DOE Office of...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

For "Ribbons" of Graphene, Width Matters Basic Energy Sciences (BES) BES Home About Research Facilities Science Highlights Benefits of BES Funding Opportunities Basic Energy...

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

Global interrupt and barrier networks  

DOE Patents [OSTI]

A system and method for generating global asynchronous signals in a computing structure. Particularly, a global interrupt and barrier network is implemented that implements logic for generating global interrupt and barrier signals for controlling global asynchronous operations performed by processing elements at selected processing nodes of a computing structure in accordance with a processing algorithm; and includes the physical interconnecting of the processing nodes for communicating the global interrupt and barrier signals to the elements via low-latency paths. The global asynchronous signals respectively initiate interrupt and barrier operations at the processing nodes at times selected for optimizing performance of the processing algorithms. In one embodiment, the global interrupt and barrier network is implemented in a scalable, massively parallel supercomputing device structure comprising a plurality of processing nodes interconnected by multiple independent networks, with each node including one or more processing elements for performing computation or communication activity as required when performing parallel algorithm operations. One multiple independent network includes a global tree network for enabling high-speed global tree communications among global tree network nodes or sub-trees thereof. The global interrupt and barrier network may operate in parallel with the global tree network for providing global asynchronous sideband signals.

Blumrich, Matthias A. (Ridgefield, CT); Chen, Dong (Croton-On-Hudson, NY); Coteus, Paul W. (Yorktown Heights, NY); Gara, Alan G. (Mount Kisco, NY); Giampapa, Mark E (Irvington, NY); Heidelberger, Philip (Cortlandt Manor, NY); Kopcsay, Gerard V. (Yorktown Heights, NY); Steinmacher-Burow, Burkhard D. (Mount Kisco, NY); Takken, Todd E. (Mount Kisco, NY)

2008-10-28T23:59:59.000Z

382

Networks in Finance Anna Nagurney  

E-Print Network [OSTI]

Chapter 1 Networks in Finance Anna Nagurney Department of Finance and Operations Management as Chapter 17 in the Handbook on IT and Finance, D. Seese, C. Weinhardt, and F. Schlottmann, Editors, Springer (2008), Berlin, Germany. Summary. This handbook chapter traces the history of networks in finance

Nagurney, Anna

383

Nordic network for Sustainable Energy  

E-Print Network [OSTI]

Nordic network for Sustainable Energy Systems in Isolated Locations (NordSESIL) Gordon A. Mackenzie of the Nordic region to access sustainable energy solutions by creating and stimulating a network of relevant sustainable energy projects happening' in isolated areas of the Nordic region. #12;Partners, organisation (1

384

Costeffective Outbreak Detection in Networks  

E-Print Network [OSTI]

on how contaminants spread in the network Problem posed by US Environmental Protection Agency S On which nodes should we place sensors to efficiently detect the all possible contaminations? S #12 Given a graph G(V,E) and a budget B for sensors and data on how contaminations spread over the network

Yang, Qiang

385

RNEDE: Resilient Network Design Environment  

SciTech Connect (OSTI)

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

386

Ranking species in mutualistic networks  

E-Print Network [OSTI]

Understanding the architectural subtleties of ecological networks, believed to confer them enhanced stability and robustness, is a subject of outmost relevance. Mutualistic interactions have been profusely studied and their corresponding bipartite networks, such as plant-pollinator networks, have been reported to exhibit a characteristic "nested" structure. Assessing the importance of any given species in mutualistic networks is a key task when evaluating extinction risks and possible cascade effects. Inspired in a recently introduced algorithm --similar in spirit to Google's PageRank but with a built-in non-linearity-- here we propose a method which --by exploiting their nested architecture-- allows us to derive a sound ranking of species importance in mutualistic networks. This method clearly outperforms other existing ranking schemes and can become very useful for ecosystem management and biodiversity preservation, where decisions on what aspects of ecosystems to explicitly protect need to be made.

Domnguez-Garca, Virginia

2015-01-01T23:59:59.000Z

387

Collective network for computer structures  

DOE Patents [OSTI]

A system and method for enabling high-speed, low-latency global collective communications among interconnected processing nodes. The global collective network optimally enables collective reduction operations to be performed during parallel algorithm operations executing in a computer structure having a plurality of the interconnected processing nodes. Router devices are included that interconnect the nodes of the network via links to facilitate performance of low-latency global processing operations at nodes of the virtual network. The global collective network may be configured to provide global barrier and interrupt functionality in asynchronous or synchronized manner. When implemented in a massively-parallel supercomputing structure, the global collective network is physically and logically partitionable according to the needs of a processing algorithm.

Blumrich, Matthias A; Coteus, Paul W; Chen, Dong; Gara, Alan; Giampapa, Mark E; Heidelberger, Philip; Hoenicke, Dirk; Takken, Todd E; Steinmacher-Burow, Burkhard D; Vranas, Pavlos M

2014-01-07T23:59:59.000Z

388

Neural Networks Perceptrons and Backpropagation  

E-Print Network [OSTI]

neural network Inputs x = (x1, x2) = (a1, a2) a5 = g(W3,5a3 + W4,5a4) a5 = g(W3,5g(W1,3a1 + W2,3a2) + W4,5g(W1,4a1 + W2,4a2)) function hW(x) is computed Neural Networks 8 / 17 #12;Network structure Network network Inputs x = (x1, x2) = (a1, a2) a5 = g(W3,5a3 + W4,5a4) a5 = g(W3,5g(W1,3a1 + W2,3a2) + W4,5g(W1,4a

Bremen, Universität

389

Collective network for computer structures  

DOE Patents [OSTI]

A system and method for enabling high-speed, low-latency global collective communications among interconnected processing nodes. The global collective network optimally enables collective reduction operations to be performed during parallel algorithm operations executing in a computer structure having a plurality of the interconnected processing nodes. Router devices ate included that interconnect the nodes of the network via links to facilitate performance of low-latency global processing operations at nodes of the virtual network and class structures. The global collective network may be configured to provide global barrier and interrupt functionality in asynchronous or synchronized manner. When implemented in a massively-parallel supercomputing structure, the global collective network is physically and logically partitionable according to needs of a processing algorithm.

Blumrich, Matthias A. (Ridgefield, CT); Coteus, Paul W. (Yorktown Heights, NY); Chen, Dong (Croton On Hudson, NY); Gara, Alan (Mount Kisco, NY); Giampapa, Mark E. (Irvington, NY); Heidelberger, Philip (Cortlandt Manor, NY); Hoenicke, Dirk (Ossining, NY); Takken, Todd E. (Brewster, NY); Steinmacher-Burow, Burkhard D. (Wernau, DE); Vranas, Pavlos M. (Bedford Hills, NY)

2011-08-16T23:59:59.000Z

390

Introduction to Ad hoc Networks CS-647: Advanced Topics in Wireless Networks  

E-Print Network [OSTI]

1-1 Introduction to Ad hoc Networks CS-647: Advanced Topics in Wireless Networks Drs. Baruch Awerbuch 2008 #12;1-2 Outline What is an ad hoc network? Challenges facing ad hoc networks History of Ad C. K. Toh, Chapter 3, "Ad Hoc Wireless Networks", Prentice Hall, 2002 D. P. Agrawal and Qing

Amir, Yair

391

Transportation Network Equilibrium --The Formalism for Networks Today from the Internet  

E-Print Network [OSTI]

Telecommunications Energy Supply Chains Interregional Trade Industrial Organization Location Theory Spatial #12;US Railroad Freight Flows #12;Natural Gas Pipeline Network in the US #12;World Oil Trading Network and Complex Networks · A New Network Performance/Efficiency Measure with Applications to Network Systems

Nagurney, Anna

392

Linear Quantum Feedback Networks  

E-Print Network [OSTI]

The mathematical theory of quantum feedback networks has recently been developed for general open quantum dynamical systems interacting with bosonic input fields. In this article we show, for the special case of linear dynamical systems Markovian systems with instantaneous feedback connections, that the transfer functions can be deduced and agree with the algebraic rules obtained in the nonlinear case. Using these rules, we derive the the transfer functions for linear quantum systems in series, in cascade, and in feedback arrangements mediated by beam splitter devices.

J. Gough; R. Gohm; M. Yanagisawa

2008-07-15T23:59:59.000Z

393

Transactional Network Overview  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion |Energy Usage »of EnergyThe EnergyDepartment7 th ,TopDepartment ofTransactional Network

394

Rooftop Unit Network Project  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion | Department ofT ib l LPROJECTS IN7 Roadmap for Bioenergy and BiobasedofHow TheNetwork Project

395

Restructuring our electricity networks to promote decarbonisation  

E-Print Network [OSTI]

............................................29 V. HOW TO EFFICIENTLY MEET EUROPEAN RET TARGETS INCENTIVE REGULATION AND THE NETWORK OPERATOR

Watson, Andrew

396

Network Reliability: Models, Measures and Analysis  

E-Print Network [OSTI]

Network Reliability: Models, Measures and Analysis #3; L.Jereb Department of Telecommunications y quality services when the network elements apt to random failures. Several network reliability models have of network reliability analysis and summarizes the critical issues. A possible solution taking into account

László, Jereb

397

Security in 3rd Generation Mobile Networks  

E-Print Network [OSTI]

-based transport technology to the core of 3G mobile networks brings along new vulnerabilities and potentialSecurity in 3rd Generation Mobile Networks Christos Xenakis and Lazaros Merakos Communication by the proliferation of mobile/wireless networks, the fixed- mobile network convergence, and the emergence of new

Stavrakakis, Ioannis

398

Localized Bridging Centrality for Distributed Network Analysis  

E-Print Network [OSTI]

network administrators identify critical nodes that are important for the robustness of the network administrator (sysadmin) manage a wireless mesh network or would allow an automated management system understand a system administrator to manage a mesh network in a more effective manner. While the system administrator

Kotz, David

399

Introduction to Network Science 1 Random Models  

E-Print Network [OSTI]

Introduction to Network Science 1 Random Models #12;Introduction to Network Science 2 mean degree in a graph with exactly m edges Taylor series reminder: #12;Introduction to Network Science 3 In contrast to the degree distribution in random model ... #12;Introduction to Network Science 4 In contrast to the degree

Safro, Ilya

400

Slide #1CENTER FOR INTEGRATED ACCESS NETWORKS  

E-Print Network [OSTI]

Slide #1CENTER FOR INTEGRATED ACCESS NETWORKS Photonics Communication Engineering Khanh Kieu, Ph.D. College of Optical Sciences, University of Arizona #12;Slide #2CENTER FOR INTEGRATED ACCESS NETWORKS OPTI · Metropolitan and local area networks #12;Slide #3CENTER FOR INTEGRATED ACCESS NETWORKS OPTI500C Syllabus

Kieu, Khanh

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

Slide #1CENTER FOR INTEGRATED ACCESS NETWORKS  

E-Print Network [OSTI]

Slide #1CENTER FOR INTEGRATED ACCESS NETWORKS Photonics Communication Engineering Khanh Kieu, Ph.D. College of Optical Sciences, University of Arizona #12;Slide #2CENTER FOR INTEGRATED ACCESS NETWORKS multiplexing · Network topology #12;Slide #3CENTER FOR INTEGRATED ACCESS NETWORKS Communication Source

Kieu, Khanh

402

Social networks and the Semantic Web  

E-Print Network [OSTI]

Social networks and the Semantic Web Peter Mika Business Informatics group Dept. of Computer technology for the social sciences Social network mining from the Web Semantics-based data management Browsing and visualization Case study Network Analysis of Semantic Web research 2. Network Analysis

Baeza-Yates, Ricardo

403

Network Virtualization in Multi-tenant Datacenters  

E-Print Network [OSTI]

Network Virtualization in Multi-tenant Datacenters T E C H N I C A L R E P O R T TR-2013-001E Teemu-tenant Datacenters Abstract Multi-tenant datacenters represent an extremely challenging networking environment provider datacenters, retaining the same networking configurations of their home network. The service

Park, KyoungSoo

404

Integrating Correlated Bayesian Networks Using Maximum Entropy  

SciTech Connect (OSTI)

We consider the problem of generating a joint distribution for a pair of Bayesian networks that preserves the multivariate marginal distribution of each network and satisfies prescribed correlation between pairs of nodes taken from both networks. We derive the maximum entropy distribution for any pair of multivariate random vectors and prescribed correlations and demonstrate numerical results for an example integration of Bayesian networks.

Jarman, Kenneth D.; Whitney, Paul D.

2011-08-30T23:59:59.000Z

405

High Performance Network Monitoring  

SciTech Connect (OSTI)

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

406

Using Mobile Technology and Social Networking to Crowdsource Citizen Science  

E-Print Network [OSTI]

Using Mobile Technology and Social Networking to CrowdsourceFall 2012 Using Mobile Technology and Social Networking toAbstract Using Mobile Technology and Social Networking to

Robson, Christine

2012-01-01T23:59:59.000Z

407

access control mechanism: Topics by E-print Network  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

the channel utilization of multihop wireless networks. Keywords: Mobile ad hoc networks, medium access control, this is not necessarily true in a mobile ad hoc network (MANET)...

408

Scalable, efficient, and fault-tolerant data center networking  

E-Print Network [OSTI]

cost that the network administrator is willing to pay.overhead on the network administrator. ALIAS provides thethese entries as a network administrator would prefer. Super

Walraed-Sullivan, Meg; Walraed-Sullivan, Meg

2012-01-01T23:59:59.000Z

409

A Continuous Time Bayesian Network Approach for Intrusion Detection  

E-Print Network [OSTI]

also challenges network administrators to deal with identitya fact of life for network administrators. Detecting attackscan help the network administrator tell whether the current

Xu, Jing

2010-01-01T23:59:59.000Z

410

Better Buildings Network View | April 2014 | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

April 2014 More Documents & Publications Better Buildings Network View | December 2014 Better Buildings Residential Network Orientation Better Buildings Network View | November...

411

Better Buildings Network View | January 2015 | Department of...  

Broader source: Energy.gov (indexed) [DOE]

5 More Documents & Publications Better Buildings Network View | December 2014 Better Buildings Network View | November 2014 Better Buildings Residential Network Orientation...

412

Better Buildings Network View | November 2014 | Department of...  

Broader source: Energy.gov (indexed) [DOE]

November 2014 More Documents & Publications Better Buildings Network View | July-August 2014 Better Buildings Network View | December 2014 Better Buildings Network View | January...

413

Better Buildings Network View | June 2014 | Department of Energy  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

June 2014 Better Buildings Network View | June 2014 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network....

414

Better Buildings Network View | January 2014 | Department of...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

4 Better Buildings Network View | January 2014 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network....

415

Better Buildings Network View | February 2015 | Department of...  

Broader source: Energy.gov (indexed) [DOE]

5 More Documents & Publications Better Buildings Network View | November 2014 Better Buildings Network View | September 2014 Better Buildings Residential Network Case Study:...

416

A publish-subscribe implementation of network management  

E-Print Network [OSTI]

As modern networks become highly integrated, heterogeneous, and experience exponential growth, the task of network management becomes increasingly unmanageable for network administrators and designers. The Knowledge Plane ...

Simosa, Jorge D. (Jorge David)

2013-01-01T23:59:59.000Z

417

A Publish-Subscribe Implementation of Network Management  

E-Print Network [OSTI]

As modern networks become highly integrated, heterogeneous, and experience exponential growth, the task of network management becomes increasingly unmanageable for network administrators and designers. The Knowledge Plane ...

Simosa, Jorge D.

2013-06-04T23:59:59.000Z

418

Fair rate assignment in interference limited multi-hop networks  

E-Print Network [OSTI]

Conclusion (Micro-Bu?ered Networks) . . . . . . . . . . .Micro-Bu?ered Networks . . . . . . . . . . . . . . . . . . . . . . . . . . .for wdm-based micro-bu?ered networks . Figure 2.3: A sample

Arisoylu, Mustafa

2006-01-01T23:59:59.000Z

419

About the Better Buildings Residential Network | Department of...  

Office of Environmental Management (EM)

About the Better Buildings Residential Network About the Better Buildings Residential Network The Better Buildings Residential Network connects energy efficiency programs and...

420

Aging and functional brain networks  

SciTech Connect (OSTI)

Aging is associated with changes in human brain anatomy and function and cognitive decline. Recent studies suggest the aging decline of major functional connectivity hubs in the 'default-mode' network (DMN). Aging effects on other networks, however, are largely unknown. We hypothesized that aging would be associated with a decline of short- and long-range functional connectivity density (FCD) hubs in the DMN. To test this hypothesis, we evaluated resting-state data sets corresponding to 913 healthy subjects from a public magnetic resonance imaging database using functional connectivity density mapping (FCDM), a voxelwise and data-driven approach, together with parallel computing. Aging was associated with pronounced long-range FCD decreases in DMN and dorsal attention network (DAN) and with increases in somatosensory and subcortical networks. Aging effects in these networks were stronger for long-range than for short-range FCD and were also detected at the level of the main functional hubs. Females had higher short- and long-range FCD in DMN and lower FCD in the somatosensory network than males, but the gender by age interaction effects were not significant for any of the networks or hubs. These findings suggest that long-range connections may be more vulnerable to aging effects than short-range connections and that, in addition to the DMN, the DAN is also sensitive to aging effects, which could underlie the deterioration of attention processes that occurs with aging.

Tomasi D.; Tomasi, D.; Volkow, N.D.

2011-07-11T23:59:59.000Z

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

E-Print Network 3.0 - artificial neural network-based Sample...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

tive-network-based... Lin, C.-T. and Lee, C. S. G. (1991). Neural-network-based fuzzy logic control and decision system... and artificial neural networks. In Eckmiller, R.,...

422

Proactive mobile wireless networks : an infrastructureless wireless network architecture for delay-sensitive applications  

E-Print Network [OSTI]

Infrastructureless wireless networks are an important class of wireless networks that is best suited for scenarios where there is temporary and localized telecommunication demand. Such networks consist of wireless devices ...

Dai, Lillian Lei, 1978-

2008-01-01T23:59:59.000Z

423

Facilitating Circle success through networking  

SciTech Connect (OSTI)

Numerous steps have been taken by Human Resource personnel and Quality Circle members at Los Alamos National Laboratory to increase networking opportunities between themselves and other organizations. Many Circle successes can be attributed to factors such as Lab-wide Circle activities and meetings, Employee Involvement Team reports, a videotape library for reference, and communications from Sandia National Laboratory and Livermore National Laboratory, and other organizations. A description of how to make networking more effective is given. Conference participants will have the opportunity to take part in a networking activity.

McIver, S.D.

1986-12-01T23:59:59.000Z

424

Helper's Network Gazette January 1995  

E-Print Network [OSTI]

Helpers Network Gazette - January 1995 file:///K|/.../Helper's%20Gazette%20Newsletter/Beauty%20and%20the%20Beast%20Helper's%20Gazette%201995-01%20(January)%20.htm[3/31/2013 5:37:01 PM] The Helpers' Network GAZETTE - January 1995 a monthly... no English -- you know, Helpers Network Gazette - January 1995 file:///K|/.../Helper's%20Gazette%20Newsletter/Beauty%20and%20the%20Beast%20Helper's%20Gazette%201995-01%20(January)%20.htm[3/31/2013 5:37:01 PM] they translated [the series] into Arabic...

1995-01-01T23:59:59.000Z

425

Biomass Rapid Analysis Network (BRAN)  

SciTech Connect (OSTI)

Helping the emerging biotechnology industry develop new tools and methods for real-time analysis of biomass feedstocks, process intermediates and The Biomass Rapid Analysis Network is designed to fast track the development of modern tools and methods for biomass analysis to accelerate the development of the emerging industry. The network will be led by industry and organized and coordinated through the National Renewable Energy Lab. The network will provide training and other activities of interest to BRAN members. BRAN members will share the cost and work of rapid analysis method development, validate the new methods, and work together to develop the training for the future biomass conversion workforce.

Not Available

2003-10-01T23:59:59.000Z

426

agency national network: Topics by E-print Network  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

to this effort-98-1-0225, DARPA Order G409 Quarterly Progress Report 1 October 1999 - 31 December 1999 David L. Mills Electrical previous research in network time...

427

Network Infusion to Infer Information Sources in Networks  

E-Print Network [OSTI]

Several models exist for diffusion of signals across biological, social, or engineered networks. However, the inverse problem of identifying the source of such propagated information appears more difficult even in the ...

Feizi, Soheil

2014-12-02T23:59:59.000Z

428

actor network perspective: Topics by E-print Network  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

actors and the powerful investment of the public sector in the development of this industry, both as an actor and as a sponsor. Networks in this study primarily refer to...

429

astrocyte networks theory: Topics by E-print Network  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Epilepsy. 1 Paris-Sud XI, Universit de 3 Nonlinear gap junctions enable long-distance propagation of pulsating calcium waves in astrocyte networks Nonlinear Sciences (arXiv)...

430

E-Print Network 3.0 - achievable network capacity Sample Search...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

data transmission rate that a network can support. The throughput capacity... of pure ad hoc network models. It is not ... Source: Massachusetts at Amherst, University of -...

431

E-Print Network 3.0 - advanced research network Sample Search...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Dartmouth Collection: Computer Technologies and Information Sciences 4 EEL6935: Wireless Ad Hoc Networks Spring 2007 Summary: EEL6935: Wireless Ad Hoc Networks Spring 2007 Catalog...

432

E-Print Network 3.0 - association networks obtained Sample Search...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Sample search results for: association networks obtained Page: << < 1 2 3 4 5 > >> 1 Ad Hoc Networking Critical Features and Performance Metrics Madhavi W. Subbarao Summary:...

433

E-Print Network 3.0 - adaptable reconfigurable networked Sample...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Reconfiguration of Network Applications and Middleware Systems in the Bio-Networking Architecture, 2002 IEEE Workshop on Large Scale Real-Time and Embedded Systems Summary: to...

434

E-Print Network 3.0 - active network analysis Sample Search Results  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

activity of coupled networks. The neurons... and activity propagation in coupled neural networks from rat cortical cells grown on a micro-electrode array... for parallel activity...

435

E-Print Network 3.0 - area navigation network Sample Search Results  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

and Computer... for successful navigation. In this paper, we design and analyze the micro-navigation satellite network that share... in the network. In this paper, we propose...

436

E-Print Network 3.0 - area network umts Sample Search Results  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

15 Integrating UMTS and 802.11 WLAN Networks Summary: Integrating UMTS and 802.11 WLAN Networks Muhammad Jaseemuddin Ryerson University, Toronto, Canada... ;Integration...

437

Wellbore Integrity Network  

SciTech Connect (OSTI)

In this presentation, we review the current state of knowledge on wellbore integrity as developed in the IEA Greenhouse Gas Programme's Wellbore Integrity Network. Wells are one of the primary risks to the successful implementation of CO{sub 2} storage programs. Experimental studies show that wellbore materials react with CO{sub 2} (carbonation of cement and corrosion of steel) but the impact on zonal isolation is unclear. Field studies of wells in CO{sub 2}-bearing fields show that CO{sub 2} does migrate external to casing. However, rates and amounts of CO{sub 2} have not been quantified. At the decade time scale, wellbore integrity is driven by construction quality and geomechanical processes. Over longer time-scales (> 100 years), chemical processes (cement degradation and corrosion) become more important, but competing geomechanical processes may preserve wellbore integrity.

Carey, James W. [Los Alamos National Laboratory; Bachu, Stefan [Alberta Innovates

2012-06-21T23:59:59.000Z

438

Survivable paths in multilayer networks  

E-Print Network [OSTI]

We consider the problem of protection in multilayer networks. In single-layer net- works, a pair of disjoint paths can be used to provide protection for a source-destination pair. However, this approach cannot be directly ...

Parandehgheibi, Marzieh

2012-01-01T23:59:59.000Z

439

Controlled mobility in sensor networks  

E-Print Network [OSTI]

K. Gupta. Optimizing energy-latency trade- o? in sensoras Optimizing Energy-Latency Trade-o? in Sensor NetworksK. Gupta, Optimizing Energy-Latency Trade-o? in Sensor

Sugihara, Ryo

2009-01-01T23:59:59.000Z

440

Optimization problems in network connectivity  

E-Print Network [OSTI]

Besides being one of the principal driving forces behind research in algorithmic theory for more than five decades, network optimization has assumed increased significance in recent times with the advent and widespread use ...

Panigrahi, Debmalya

2012-01-01T23:59:59.000Z

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.


441

SENSID: a Sensor Network Situation  

E-Print Network [OSTI]

Engineering, The University of Western Australia, 2005 #12;Abstract In the field of environmental monitoring not allow the network to react to events. It also wastes valuable energy by transmitting all data regardless

Cardell-Oliver, Rachel

442

Social networks for lonely objects  

E-Print Network [OSTI]

Visions of ubiquitous computing describe a network of devices that quietly supports human goals, but this may also add complexity to an already frustrating relationship between humans and their electronic objects. As we ...

Kestner, John Anthony

2010-01-01T23:59:59.000Z

443

Ideally Glassy Hydrogen Bonded Networks  

E-Print Network [OSTI]

The axiomatic theory of ideally glassy networks, which has proved effective in describing phase diagrams and properties of chalcogenide and oxide glasses and their foreign interfaces, is broadened here to include intermolecular interactions in hydrogen-bonded polyalcohols such as glycerol, monosaccharides (glucose), and the optimal bioprotective hydrogen-bonded disaccharide networks formed from trehalose. The methods of Lagrangian mechanics and Maxwellian scaffolds are useful at the molecular level when bonding hierarchies are characterized by constraint counting similar to the chemical methods used by Huckel and Pauling. Whereas Newtonian molecular dynamical methods are useful for simulating large-scale interactions for times of order 10 ps, constraint counting describes network properties on glassy (almost equilibrated) time scales, which may be of cosmological order for oxide glasses, or years for trehalose. The ideally glassy network of trehalose may consist of extensible tandem sandwich arrays.

J. C. Phillips

2005-08-05T23:59:59.000Z

444

Google matrix analysis of directed networks  

E-Print Network [OSTI]

In past ten years, modern societies developed enormous communication and social networks. Their classification and information retrieval processing become a formidable task for the society. Due to the rapid growth of World Wide Web, social and communication networks, new mathematical methods have been invented to characterize the properties of these networks on a more detailed and precise level. Various search engines are essentially using such methods. It is highly important to develop new tools to classify and rank enormous amount of network information in a way adapted to internal network structures and characteristics. This review describes the Google matrix analysis of directed complex networks demonstrating its efficiency on various examples including World Wide Web, Wikipedia, software architecture, world trade, social and citation networks, brain neural networks, DNA sequences and Ulam networks. The analytical and numerical matrix methods used in this analysis originate from the fields of Markov chains, quantum chaos and Random Matrix theory.

Leonardo Ermann; Klaus M. Frahm; Dima L. Shepelyansky

2014-09-01T23:59:59.000Z

445

Community Detection from Location-Tagged Networks  

E-Print Network [OSTI]

Many real world systems or web services can be represented as a network such as social networks and transportation networks. In the past decade, many algorithms have been developed to detect the communities in a network using connections between nodes. However in many real world networks, the locations of nodes have great influence on the community structure. For example, in a social network, more connections are established between geographically proximate users. The impact of locations on community has not been fully investigated by the research literature. In this paper, we propose a community detection method which takes locations of nodes into consideration. The goal is to detect communities with both geographic proximity and network closeness. We analyze the distribution of the distances between connected and unconnected nodes to measure the influence of location on the network structure on two real location-tagged social networks. We propose a method to determine if a location-based community detection...

Liu, Zhi

2015-01-01T23:59:59.000Z

446

The Cost of Attack in Competing Networks  

E-Print Network [OSTI]

Real-world attacks can be interpreted as the result of competitive interactions between networks, ranging from predator-prey networks to networks of countries under economic sanctions. Although the purpose of an attack is to damage a target network, it also curtails the ability of the attacker, which must choose the duration and magnitude of an attack to avoid negative impacts on its own functioning. Nevertheless, despite the large number of studies on interconnected networks, the consequences of initiating an attack have never been studied. Here, we address this issue by introducing a model of network competition where a resilient network is willing to partially weaken its own resilience in order to more severely damage a less resilient competitor. The attacking network can take over the competitor nodes after their long inactivity. However, due to a feedback mechanism the takeovers weaken the resilience of the attacking network. We define a conservation law that relates the feedback mechanism to the resilie...

Podobnik, B; Lipic, T; Perc, M; Buldu, J M; Stanley, H E

2015-01-01T23:59:59.000Z

447

Transient approximations in queueing networks  

E-Print Network [OSTI]

TRANSIENT APPROXIMATIONS IN QUEUEING NETWORKS A Thesis by JOHN MICHAEL ANDREWARTHA Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE May 1989... Major Subject: Electrical Engineering TRANSIENT APPROXIMATIONS IN QUEUEING NETWORKS A Thesis JOHN MICHAEL ANDREWARTHA Approved as to style and content by: P. E. Cantrell (Chair of Committee) m P7~ W. K. Tsai (Member) J. D. Gibson (Member) R...

Andrewartha, John Michael

1989-01-01T23:59:59.000Z

448

Proposed Solution:Proposed Solution: The Autonomous Networked Aquatic Microbial Observing SystemThe Autonomous Networked Aquatic Microbial Observing System Networked Aquatic Microbial Observing Systems: an overviewNetworked Aquatic Microbial Observing Sys  

E-Print Network [OSTI]

Proposed Solution:Proposed Solution: The Autonomous Networked Aquatic Microbial Observing SystemThe Autonomous Networked Aquatic Microbial Observing System Networked Aquatic Microbial Observing Systems Ocean Research Goals · Development of autonomous networks of heterogeneous sensors to monitor and sample

Smith, Ryan N.

449

Tensor network states and geometry  

E-Print Network [OSTI]

Tensor network states are used to approximate ground states of local Hamiltonians on a lattice in D spatial dimensions. Different types of tensor network states can be seen to generate different geometries. Matrix product states (MPS) in D=1 dimensions, as well as projected entangled pair states (PEPS) in D>1 dimensions, reproduce the D-dimensional physical geometry of the lattice model; in contrast, the multi-scale entanglement renormalization ansatz (MERA) generates a (D+1)-dimensional holographic geometry. Here we focus on homogeneous tensor networks, where all the tensors in the network are copies of the same tensor, and argue that certain structural properties of the resulting many-body states are preconditioned by the geometry of the tensor network and are therefore largely independent of the choice of variational parameters. Indeed, the asymptotic decay of correlations in homogeneous MPS and MERA for D=1 systems is seen to be determined by the structure of geodesics in the physical and holographic geometries, respectively; whereas the asymptotic scaling of entanglement entropy is seen to always obey a simple boundary law -- that is, again in the relevant geometry. This geometrical interpretation offers a simple and unifying framework to understand the structural properties of, and helps clarify the relation between, different tensor network states. In addition, it has recently motivated the branching MERA, a generalization of the MERA capable of reproducing violations of the entropic boundary law in D>1 dimensions.

G. Evenbly; G. Vidal

2011-06-06T23:59:59.000Z

450

Evolutionary Dynamics of Complex Networks: Theory, Methods and Applications  

E-Print Network [OSTI]

We propose new direction to understanding evolutionary dynamics of complex networks using two different types of collaboration networks: academic collaboration networks; and, disaster collaboration networks. The results show that academic collaboration network has all properties of small-world networks and can be considered a real small-world network with the result of its structural analysis maybe being extendable for other real-networks who share the common grounds of small-world properties.

Abbasi, Alireza; Wigand, Rolf T

2015-01-01T23:59:59.000Z

451

GLOBAL OPTIMIZATION OF PIPE NETWORKS BY THE INTERVAL ...  

E-Print Network [OSTI]

GLOBAL OPTIMIZATION OF PIPE NETWORKS. BY THE INTERVAL ANALYSIS APPROACH: THE BELGIUM NETWORK CASE. J. FRDRIC BONNANS...

2011-11-20T23:59:59.000Z

452

V-036: EMC Smarts Network Configuration Manager Database Authenticatio...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

36: EMC Smarts Network Configuration Manager Database Authentication Bypass Vulnerability V-036: EMC Smarts Network Configuration Manager Database Authentication Bypass...

453

Better Buildings Network View | May 2014 | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

May 2014 More Documents & Publications Better Buildings Network View | July-August 2014 Better Buildings Network View | June...

454

NCON: A tensor network contractor for MATLAB  

E-Print Network [OSTI]

A fundamental process in the implementation of any numerical tensor network algorithm is that of contracting a tensor network. In this process, a network made up of multiple tensors connected by summed indices is reduced to a single tensor or a number by evaluating the index sums. This article presents a MATLAB function ncon(), or "Network CONtractor", which accepts as its input a tensor network and a contraction sequence describing how this network may be reduced to a single tensor or number. As its output it returns that single tensor or number. The function ncon() may be obtained by downloading the source of this preprint.

Robert N. C. Pfeifer; Glen Evenbly; Sukhwinder Singh; Guifre Vidal

2014-02-05T23:59:59.000Z

455

A Multiple Network Approach to Corporate Governance  

E-Print Network [OSTI]

In this work, we consider Corporate Governance ties among companies from a multiple network perspective. Such a structurenaturally arises from the close interrelation between the Shareholding Network and the Board of Directors network. Inorder to capture the simultaneous effects on both networks on Corporate Governance, we propose to model the Corporate Governance multiple network structure via tensor analysis. In particular, we consider the TOPHITS model, based on the PARAFAC tensor decomposition, to show that tensor techniques can be successfully applied in this context. After providing some empirical results from the Italian financial market in the univariate case, we will show that a tensor-based multiple network approach can reveal important information.

Bonacina, Fausto; Moretto, Enrico; Stefani, Silvana; Torriero, Anna

2014-01-01T23:59:59.000Z

456

Optimization of synchronization in gradient clustered networks  

E-Print Network [OSTI]

We consider complex clustered networks with a gradient structure, where sizes of the clusters are distributed unevenly. Such networks describe more closely actual networks in biophysical systems and in technological applications than previous models. Theoretical analysis predicts that the network synchronizability can be optimized by the strength of the gradient field but only when the gradient field points from large to small clusters. A remarkable finding is that, if the gradient field is sufficiently strong, synchronizability of the network is mainly determined by the properties of the subnetworks in the two largest clusters. These results are verified by numerical eigenvalue analysis and by direct simulation of synchronization dynamics on coupled-oscillator networks.

Xingang Wang; Liang Huang; Ying-Cheng Lai; Choy Heng Lai

2007-11-23T23:59:59.000Z

457

Identifying Pollution Attackers in Network-Coding Enabled Wireless Mesh Networks  

E-Print Network [OSTI]

Identifying Pollution Attackers in Network-Coding Enabled Wireless Mesh Networks Yongkun Li: cslui@cse.cuhk.edu.hk Abstract--Pollution attack is a severe security problem in network-coding enabled spreading of polluted packets to deplete network resources. We address this security problem even when

Lui, John C.S.

458

Auto-Networking Technologies for IPv6 Mobile Ad Hoc Networks  

E-Print Network [OSTI]

Auto-Networking Technologies for IPv6 Mobile Ad Hoc Networks Jaehoon Jeong, Jungsoo Park for IPv6 mobile ad hoc networks. The auto-networking technologies consist of IPv6 unicast address. These technologies are based on IPv6's inherent autoconfiguration facility, which can provide ad hoc users

Jeong, Jaehoon "Paul"

459

Random Walks and Electrical Networks Electrical Network Calculations in Random Walks in  

E-Print Network [OSTI]

Random Walks and Electrical Networks Electrical Network Calculations in Random Walks in Random 2/4/2008 1 / 23 #12;Random Walks and Electrical Networks Much of this talk is based on the book Random Walks and Electric Networks by Peter G. Doyle and J. Laurie Snell. Free download available at http

Peterson, Jonathon

460

On the Access Pricing and Network Scaling Issues of Wireless Mesh Networks  

E-Print Network [OSTI]

1 On the Access Pricing and Network Scaling Issues of Wireless Mesh Networks Ray K. Lam Dah. This paper studies the use of pricing as an incentive mechanism to stimulate participation and collaboration in public wireless mesh networks. Our focus is on the "economic behavior" of the network nodes-- the pricing

Lui, John C.S.

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

Bounds on the Gain of Network Coding and Broadcasting in Wireless Networks  

E-Print Network [OSTI]

1 Bounds on the Gain of Network Coding and Broadcasting in Wireless Networks Junning Liu , Dennis the possibility of network coding and broadcasting in their model, and recent work has suggested network coding and broadcasting in a )10 random topology that the throughput scales as ¥§¦¨¤©2

Massachusetts at Amherst, University of

462

NeuDetect: A Neural Network Data Mining Wireless Network Intrusion Detection System  

E-Print Network [OSTI]

NeuDetect: A Neural Network Data Mining Wireless Network Intrusion Detection System C.I. Ezeife wireless intrusion detection systems, this paper presents a method of applying artificial neural networks mining clas- sification technique to wireless network intrusion detection system. The proposed system

Ezeife, Christie

463

Stochastic Networks (M24) Frank Kelly  

E-Print Network [OSTI]

Stochastic Networks (M24) Frank Kelly This course uses stochastic models to shed light on important.P. Kelly Reversibility and Stochastic Networks. Cambridge University Press, 2011. 3. F. Kelly and E

Kelly, Frank

464

Routing in heterogeneous wireless ad hoc networks  

E-Print Network [OSTI]

Wireless ad hoc networks are used in several applications ranging from infrastructure monitoring to providing Internet connectivity to remote locations. A common assumption about these networks is that the devices that ...

Cheekiralla, Sivaram M. S. L., 1980-

2008-01-01T23:59:59.000Z

465

Exploiting Heterogeneity in Sensor Networks Mark Yarvis  

E-Print Network [OSTI]

lifetime and reliability without significantly increasing the cost. For example, Intel has deployed a pilot provide in-network data proc- essing, longer-term storage, and access to building network infrastructures

Singh, Suresh

466

Adaptive Spatiotemporal Node Selection in Dynamic Networks  

E-Print Network [OSTI]

Dynamic networks - spontaneous, self-organizing groups of devices - are a promising new computing platform. Writing applications for such networks is a daunting task, however, due to their extreme variability and ...

Hari, Pradip

467

Improved techniques for passive optical networks  

E-Print Network [OSTI]

for WDM Access Networks with Downstream DPSK and UpstreamReturn to Zero (RZ) Coded Downstream and NRZ Upstream Re-Access Network Scheme with Downstream Manchester Coding and

Jorgesen, Douglas Ryan Tourtillott

2010-01-01T23:59:59.000Z

468

Underwater Data Collection Using Robotic Sensor Networks  

E-Print Network [OSTI]

We examine the problem of utilizing an autonomous underwater vehicle (AUV) to collect data from an underwater sensor network. The sensors in the network are equipped with acoustic modems that provide noisy, range-limited ...

Hollinger, Geoffrey A.

469

Advanced battery modeling using neural networks  

E-Print Network [OSTI]

battery models are available today that can accurately predict the performance of the battery system. This thesis presents a modeling technique for batteries employing neural networks. The advantage of using neural networks is that the effect of any...

Arikara, Muralidharan Pushpakam

1993-01-01T23:59:59.000Z

470

Sensor network localization based on natural phenomena  

E-Print Network [OSTI]

Autonomous localization is crucial for many sensor network applications. The goal of this thesis is to develop a distributed localization algorithm for the PLUG indoor sensor network by analyzing sound and light sensory ...

Kim, Daniel Sang

2006-01-01T23:59:59.000Z

471

Local Area Networks - Applications to Energy Management  

E-Print Network [OSTI]

LOCAL AREA NETWORKS - APPLICATIONS TO MERCY MANAGmNT Advanced BRUCE M. BAKKEN Software bfanager Micro Syatems Corporation Milwaukee, WI ABSTRACT One of the newest advances in computer technology is the Local Area Network. Its many...

Bakken, B. M.

1984-01-01T23:59:59.000Z

472

Epidemic Propagation In Overlaid Wireless Networks  

SciTech Connect (OSTI)

Witb tbe emergence of computer worms tbat can spread over air interfaces, wireless ad boc and sensor networks can be vulnerable to node compromises even if the deployed network is not connected to the backbone. Depending on the physical topology of the wireless network, even a single infected node can compromise the whole network. In this work, epidemic (e.g., worm) propagation in a static wireless network is studied, where a number of inCected mobile nodes are injected over the existing network. It is shown that the epidemic spread threshold and size depend on the physical topology of the underlying static wireless network as well as the mobility model employed by the infected mobile nodes. More specifically, results show that in a Cully-connected static wirelessnctwork targeted attacks are more effective, wbereas Cor a random topology random attacks can be sufficient to compromise the whole network.

Yanmaz, Evsen [Los Alamos National Laboratory

2008-01-01T23:59:59.000Z

473

Intrusion detection in mobile ad hoc networks  

E-Print Network [OSTI]

Most existent protocols, applications and services for Mobile Ad Hoc NET-works (MANETs) assume a cooperative and friendly network environment and do not accommodate security. Therefore, Intrusion Detection Systems (IDSs), serving as the second line...

Sun, Bo

2005-08-29T23:59:59.000Z

474

Aircraft System Identification Using Artificial Neural Networks  

E-Print Network [OSTI]

Artificial neural networks o Require minimal user input o Easily implemented o Robust to noise o Fast #12 interactions between neurons that pass electrochemical signals between each other Artificial neural networks

Valasek, John

475

OFC/NFOEC '12 Summary --Elastic Networks  

E-Print Network [OSTI]

DWDMNetworks regarding CAPEX and Power Consumption Axel Klekamp ALU Traffic Engineering and Network Planning consumption and CAPEX for MLR and Elastic Networks. No. of transponders and fibers used is less in elastic

California at Davis, University of

476

Nano Communication Networks Update | GE Global Research  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Nano Communication Networks Update Nano Communication Networks Update Steve Bush 2011.12.09 Hi everybody, In my last blog I talked about some of the work I have been doing...

477

Information Flow Analysis of Interactome Networks  

E-Print Network [OSTI]

Recent studies of cellular networks have revealed modular organizations of genes and proteins. For example, in interactome networks, a module refers to a group of interacting proteins that form molecular complexes and/or ...

Liu, Kesheng

478

Virtual infrastructure for wireless ad hoc networks  

E-Print Network [OSTI]

One of the most significant challenges introduced by ad hoc networks is coping with the unpredictable deployment, uncertain reliability, and erratic communication exhibited by emerging wireless networks and devices. The ...

Gilbert, Seth, 1976-

2007-01-01T23:59:59.000Z

479

Adaptive sampling in autonomous marine sensor networks  

E-Print Network [OSTI]

In this thesis, an innovative architecture for real-time adaptive and cooperative control of autonomous sensor platforms in a marine sensor network is described in the context of the autonomous oceanographic network scenario. ...

Eickstedt, Donald Patrick

2006-01-01T23:59:59.000Z

480

Essays on social networks in development economics  

E-Print Network [OSTI]

This thesis examines the role that social networks play in developing economies. The first two chapters analyze econometric issues that arise when researchers work with sampled network data. The final two chapters study ...

Chandrasekhar, Arun Gautham

2012-01-01T23:59:59.000Z

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.


481

How Did I Get Here?: The Evolution of Social Network Position Within Firms  

E-Print Network [OSTI]

Social networks and innovation Introduction: Social networks and innovation It is hardlydomains who link social networks and innovation (Hargadon &

Kurkoski, Jennifer

2010-01-01T23:59:59.000Z

482

Flexible network wireless transceiver and flexible network telemetry transceiver  

DOE Patents [OSTI]

A transceiver for facilitating two-way wireless communication between a baseband application and other nodes in a wireless network, wherein the transceiver provides baseband communication networking and necessary configuration and control functions along with transmitter, receiver, and antenna functions to enable the wireless communication. More specifically, the transceiver provides a long-range wireless duplex communication node or channel between the baseband application, which is associated with a mobile or fixed space, air, water, or ground vehicle or other platform, and other nodes in the wireless network or grid. The transceiver broadly comprises a communication processor; a flexible telemetry transceiver including a receiver and a transmitter; a power conversion and regulation mechanism; a diplexer; and a phased array antenna system, wherein these various components and certain subcomponents thereof may be separately enclosed and distributable relative to the other components and subcomponents.

Brown, Kenneth D. (Grain Valley, MO)

2008-08-05T23:59:59.000Z

483

Contemporary data communications and local networking principles  

SciTech Connect (OSTI)

This paper serves as a primer on computer networking for those who wish to pursue specific areas of interest. (GHT)

Chartrand, G.A.

1982-08-01T23:59:59.000Z

484

Biological and Environmental Research Network Requirements  

E-Print Network [OSTI]

usage network can be divided into three categories: Category 1 : International federations ? CMIP5 ? CORDEX ESGF (technology

Dart, Eli

2014-01-01T23:59:59.000Z

485

Network Requirements Workshop - Documents and Background Materials  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Science Requirements Reviews Network Requirements Reviews Documents and Background Materials Science Engagement Move your data Programs & Workshops Science...

486

A User Driven Dynamic Circuit Network Implementation  

SciTech Connect (OSTI)

The requirements for network predictability are becoming increasingly critical to the DoE science community where resources are widely distributed and collaborations are world-wide. To accommodate these emerging requirements, the Energy Sciences Network has established a Science Data Network to provide user driven guaranteed bandwidth allocations. In this paper we outline the design, implementation, and secure coordinated use of such a network, as well as some lessons learned.

Guok, Chin; Robertson, David; Chaniotakis, Evangelos; Thompson, Mary; Johnston, William; Tierney, Brian

2008-10-01T23:59:59.000Z

487

Associative memory in phasing neuron networks  

SciTech Connect (OSTI)

We studied pattern formation in a network of coupled Hindmarsh-Rose model neurons and introduced a new model for associative memory retrieval using networks of Kuramoto oscillators. Hindmarsh-Rose Neural Networks can exhibit a rich set of collective dynamics that can be controlled by their connectivity. Specifically, we showed an instance of Hebb's rule where spiking was correlated with network topology. Based on this, we presented a simple model of associative memory in coupled phase oscillators.

Nair, Niketh S [ORNL; Bochove, Erik J. [United States Air Force Research Laboratory, Kirtland Air Force Base; Braiman, Yehuda [ORNL

2014-01-01T23:59:59.000Z

488

Travel and tourism: Into a complex network  

E-Print Network [OSTI]

It is discussed how the worldwide tourist arrivals, about 10% of world's domestic product, form a largely heterogeneous and directed complex network. Remarkably the random network of connectivity is converted into a scale-free network of intensities. The importance of weights on network connections is brought into discussion. It is also shown how strategic positioning particularly benefit from market diversity and that interactions among countries prevail on a technological and economic pattern, questioning the backbones of traveling driving forces.

Miguens, J I L

2008-01-01T23:59:59.000Z

489

The Network Completion Problem: Inferring Missing Nodes and Edges in Networks  

SciTech Connect (OSTI)

Network structures, such as social networks, web graphs and networks from systems biology, play important roles in many areas of science and our everyday lives. In order to study the networks one needs to first collect reliable large scale network data. While the social and information networks have become ubiquitous, the challenge of collecting complete network data still persists. Many times the collected network data is incomplete with nodes and edges missing. Commonly, only a part of the network can be observed and we would like to infer the unobserved part of the network. We address this issue by studying the Network Completion Problem: Given a network with missing nodes and edges, can we complete the missing part? We cast the problem in the Expectation Maximization (EM) framework where we use the observed part of the network to fit a model of network structure, and then we estimate the missing part of the network using the model, re-estimate the parameters and so on. We combine the EM with the Kronecker graphs model and design a scalable Metropolized Gibbs sampling approach that allows for the estimation of the model parameters as well as the inference about missing nodes and edges of the network. Experiments on synthetic and several real-world networks show that our approach can effectively recover the network even when about half of the nodes in the network are missing. Our algorithm outperforms not only classical link-prediction approaches but also the state of the art Stochastic block modeling approach. Furthermore, our algorithm easily scales to networks with tens of thousands of nodes.

Kim, M; Leskovec, J

2011-11-14T23:59:59.000Z

490

Feedback, power control, and beamforming : methods for situational aware wireless networks  

E-Print Network [OSTI]

Outage balancing in multiuser MISO networks: network dualityOutage balancing in multiuser MISO networks: network dualitywith partial feedback for MISO downlink transmission using

Huang, Yichao

2012-01-01T23:59:59.000Z

491

OFC'13 Summary ---Access Networks-I  

E-Print Network [OSTI]

They Be A Blueprint for Optical Networks? Ali Khayrallah Ericsson Research USA Spectrum crunch, Feedback from receiver's residential network model to a converged access/aggregation platform based on SDN. Network convergence to reduce number of devices such as PON for residential, business as well as mobile backhauling ­ Long reach

California at Davis, University of

492

Contribution Games in Networks Elliot Anshelevich  

E-Print Network [OSTI]

Contribution Games in Networks Elliot Anshelevich Martin Hoefer Abstract We consider network contribution games, where each agent in a network has a budget of effort that he can contribute to different collaborative projects or relationships. Depending on the contribution of the involved agents a relationship

493

NETWORK OF EXCELLENCE The CAP & Bioenergy  

E-Print Network [OSTI]

a campaign to inform farmers about markets for energy crops. #12;BIOENERGY NETWORK OF EXCELLENCE BAPBIOENERGY NETWORK OF EXCELLENCE The CAP & Bioenergy Driver or Barrier? IEA Bioenergy ExCo58://www.ieabioenergy.com/DocSet.aspx?id=5331 #12;BIOENERGY NETWORK OF EXCELLENCE IIIEE ? · A (relatively) small institute in a large University

494

Mobile Ad Hoc Networks Asis Nasipuri  

E-Print Network [OSTI]

1 Mobile Ad Hoc Networks Asis Nasipuri Department of Electrical & Computer Engineering The University of North Carolina at Charlotte Charlotte, NC 28223-0001 I. INTRODUCTION A mobile ad hoc network of base stations, make ad hoc networks radically different from other wireless LANs. Whereas communication

Nasipuri, Asis

495

Scale-Free Growing Networks and Gravity  

E-Print Network [OSTI]

We propose a possible relation between complex networks and gravity. Our guide in our proposal is the power-law distribution of the node degree in network theory and the information approach to gravity. The established bridge may allow us to carry geometric mathematical structures, which are considered in gravitational theories, to probabilistic aspects studied in the framework of complex networks and vice versa.

J. A. Nieto

2012-11-29T23:59:59.000Z

496

Foundations of Artificial Intelligence Neural Networks  

E-Print Network [OSTI]

Foundations of Artificial Intelligence Neural Networks Building Artificial Brains #12;Background of observed examples (training data). #12;Neural Networks Objectives Show how the human brain works Introduction The Human Brain (How a neuron works) Building Artificial Neurons Network Architecture and Learning

Qu, Rong

497

Monitoring Energy Consumption In Wireless Sensor Networks  

E-Print Network [OSTI]

Monitoring Energy Consumption In Wireless Sensor Networks Matthias Witt, Christoph Weyer, it may impair the ability of the sensor network to function. Therefore, minimizing energy consumption energy consumption in both standby and active modes is the basis of wireless networks. Energy preserving

Turau, Volker

498

Incremental Network Design with Maximum Flows - Optimization ...  

E-Print Network [OSTI]

Dec 21, 2013 ... for adding arcs to the network, (2) a performance measure, which prescribes ... network is evaluated (for instance by the shortest s-t path or by the ...... Smart grid design for efficient and flexible power networks operation and.

2013-12-21T23:59:59.000Z

499

Multi-objective routing in ATM networks  

E-Print Network [OSTI]

In this thesis, we extend the schedulable region concept from a mission control for one link only to a network-wide routing and admission approach in ATM networks. We assume that four traffic types traverse the network, i.e., constant bit...

Mennenga, Menno

1996-01-01T23:59:59.000Z

500

Slide #1CENTER FOR INTEGRATED ACCESS NETWORKS  

E-Print Network [OSTI]

Slide #1CENTER FOR INTEGRATED ACCESS NETWORKS Photonics Communication Engineering Khanh Kieu, Ph.D. College of Optical Sciences, University of Arizona #12;Slide #2CENTER FOR INTEGRATED ACCESS NETWORKS is around 340m/s. #12;Slide #3CENTER FOR INTEGRATED ACCESS NETWORKS Homework Problem 2: Calculate

Kieu, Khanh