Sample records for network esnet bes

  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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWPAlumniComplex historian ...BES User Facilities UserNetwork

  2. BES Science Network Requirements

    SciTech Connect (OSTI)

    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

    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.

  3. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract ManagementDiscoveringESnet Update Winter 2008ESnet4: Science NetworkN

  4. BES Science Network Requirements

    E-Print Network [OSTI]

    Dart, Eli

    2011-01-01T23:59:59.000Z

    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

  5. Science-Driven Network Requirements for ESnet

    SciTech Connect (OSTI)

    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

    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.

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

    Office of Science (SC) Website

    Computing Facility (OLCF) Argonne Leadership Computing Facility (ALCF) National Energy Research Scientific Computing Center (NERSC) Energy Sciences Network (ESnet) Research...

  7. BES Requirements Review 2014

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

    Review 2014 BES Requirements Review 2014 BES Attendees 2014 Requirements Review Reports Case Studies Contact Us Technical Assistance: 1 800-33-ESnet (Inside US) 1 800-333-7638...

  8. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract ManagementDiscoveringESnet Update Winter 2008ESnet4: Networking for

  9. ESnet Program Plan 1994

    SciTech Connect (OSTI)

    Merola, S.

    1994-11-01T23:59:59.000Z

    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.

  10. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract ManagementDiscoveringESnet Update Winter 2008ESnet4: Science Network

  11. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract ManagementDiscoveringESnet Update Winter 2008ESnet4: Science NetworkN

  12. ESnet 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy,ARMFormsGasRelease Date:research community -- hosted byColdNews &ESnet

  13. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract ManagementDiscoveringESnet Update Winter 2008 Joint Techs Workshop

  14. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract ManagementDiscovering HowAnaDynamicGulfENSURINGSiteofESnet Named

  15. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract ManagementDiscoveringESnet Update Winter 2008ESnet4: Networking

  16. 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...

  17. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract ManagementDiscovering HowAnaDynamicGulfENSURINGSiteofESnet NamedESnet

  18. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract ManagementDiscoveringESnet Update Winter 2008 Joint TechsESnet's

  19. ESnet Named One of Top Government IT Innovators -- Again

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

    ESnet Named One of Top Government IT Innovators - Again News & Publications ESnet News Media & Press Publications and Presentations Galleries ESnet Awards and Honors Contact Us...

  20. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science,SpeedingWu,IntelligenceYou are here ‹ ›Energy.gov

  1. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract ManagementDiscovering HowAnaDynamicGulfENSURINGSiteofESnet

  2. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract ManagementDiscoveringESnet Update Winter 2008 Jointat

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

    ScienceCinema (OSTI)

    Johnston, Bill

    2011-04-28T23:59:59.000Z

    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.

  4. ESnet Marks 25 Years of Service to Science

    ScienceCinema (OSTI)

    None

    2013-05-29T23:59:59.000Z

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

  5. Final report and recommendations of the ESnet Authentication Pilot Project

    SciTech Connect (OSTI)

    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

    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.

  6. 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...

  7. The ESnet Engineering Team

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearch >Internship Program The NIF andPoints of Fasterdata IPv6 Network Network

  8. BES Science Network Requirements

    E-Print Network [OSTI]

    Dart, Eli

    2011-01-01T23:59:59.000Z

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

  9. BES Science Network Requirements

    E-Print Network [OSTI]

    Dart, Eli

    2011-01-01T23:59:59.000Z

    calculations and molecular dynamics simulations to study the structures, electronic and dynamicElectronic structure calculations, quantum many- body simulations, molecular dynamics (electronic structure, Monte Carlo, mean field theory, and dynamics calculations

  10. BES Science Network Requirements

    E-Print Network [OSTI]

    Dart, Eli

    2011-01-01T23:59:59.000Z

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

  11. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWPAlumniComplex historian ...

  12. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract ManagementDiscoveringESnet Update Winter 2008ESnet4:

  13. ESnet Update Steve Cotter, Dept Head

    E-Print Network [OSTI]

    Requirements Workshops Capacity (Science Data > Planned ESnet capacity growth) Multiple 100G links by 2015 Increased commodity Internet peering Increased capacity for private peering Services Differentiated services-HUB 1 Infinera DTC chassis installed (Dec 2010) NEWY-HUB 3 Infinera DTC Chassis installed (Dec 2010

  14. 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)

    Powers NRL's 100 Gbps Remote IO Demo at SC14 News & Publications ESnet News Media & Press Publications and Presentations Galleries ESnet Awards and Honors Contact Us Media Jon...

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

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

    On-Demand Bandwidth Reservation Service Wins R&D 100 Award News & Publications ESnet News Media & Press Publications and Presentations Galleries ESnet Awards and Honors Contact Us...

  16. Microsoft Word - Johnston.IOS.Network Communication as a Service...

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

    of DOE. 1.2. ESnet Defined ESnet is: * A large-scale IP network built on a national circuit infrastructure with high-speed connections to all major US and international research...

  17. Implications of ESnet Site Reliance on Cloud Services

    E-Print Network [OSTI]

    summary of Phil's ESCC survey questions and open discussion 7/19/2010 ESnet Template Examples 2 #12/19/2010 ESnet Template Examples 3 #12;Lawrence Berkeley National Laboratory U.S. Department of Energy | Office Reviewing ESCC Survey Results 1) Does your site currently [or plan to] depend on cloud-based / remotely

  18. Baryon Resonances Observed at BES

    E-Print Network [OSTI]

    B. S. Zou

    2008-02-01T23:59:59.000Z

    The $\\psi$ decays provide a novel way to explore baryon spectroscopy and baryon structure. The baryon resonances observed from $\\psi$ decays at BES are reviewed. The implications and prospects at upgraded BESIII/BEPCII are discussed.

  19. Energy Secretary Moniz Honors ESnet's OSCARS Bandwidth Reservation...

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

    Evangelos Chaniotakis, Chin P. Guok, Andrew Lake, Inder Monga, Eric Pouyoul and Mary Thompson. "This is truly a great honor for the ESnet team and we're gratified by the...

  20. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy,ARMFormsGasRelease Date:research community -- hosted byColdNews IPv6

  1. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract ManagementDiscoveringESnet Update Winter 2008ESnet4: Science

  2. 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...

  3. ESnet, Coalition Partners Announce Global Breakthrough for Software-Defined

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract ManagementDiscoveringESnet Update Winter 2008

  4. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract ManagementDiscovering HowAnaDynamicGulfENSURINGSiteofESnet Named One

  5. ESnet Update Steve Cotter, Dept Head Lawrence Berkeley National Lab

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract ManagementDiscoveringESnet Update Winter 2008 Joint Techs

  6. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract ManagementDiscoveringESnet Update Winter 2008 Joint

  7. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearch >InternshipDepartment ofAugustDecember 201420thSciences Network

  8. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearch >InternshipDepartment ofAugustDecember 201420thSciencesNetwork

  9. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearch >InternshipDepartment ofAugustDecember 201420thSciencesNetworkBelle-IIand

  10. NERSC/DOE BES Requirements Workshop Worksheet - Thomas Miller

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

    Miller Thomas Miller BES Requirements Worksheet 1.1. Project Information - Reaction Dynamics in Complex Molecular Systems Document Prepared By Thomas Miller Project Title Reaction...

  11. Advanced Scientific Computing Research Network Requirements

    SciTech Connect (OSTI)

    Dart, Eli; Tierney, Brian

    2013-03-08T23:59:59.000Z

    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.

  12. 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

  13. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power AdministrationField Campaign:INEA :Work4/11 ENVIROISSUES ESF 12 EventsAN 241.4ESUE Sign

  14. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del SolStrengthening a solidSynthesis of 2Dand WaterThe FutureRiskSaltScience BehindDMZ

  15. FES Science Network Requirements

    E-Print Network [OSTI]

    Geddes, Cameron Guy Robinson

    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

  16. OSCARS Extends JGI Network Capacity

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

    OSCARS & JGI Science DMZ Case Studies Multi-facility Workflow Case Study News & Publications ESnet News Publications and Presentations Galleries ESnet Awards and Honors Blog ESnet...

  17. ESnet, Coalition Partners Announce Global Breakthrough for Software...

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

    https:www.es.net About ONOS and ON.Lab ONOS is a SDN networking operating system for Service Provider networks architected for high performance, scale and availability. ONOS'...

  18. 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...

  19. BES Budget | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041cloth DocumentationProductsAlternativeOperationalAugust NazimBudget Basic Energy Sciences (BES) BES

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

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

    standards for devices with Ethernet connections. The standards are expected to help save terawatts of otherwise-wasted electricity by automatically switching networked...

  1. Network Requirements Workshop - Documents and Background Materials

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

    Requirements Review Reports Case Studies News & Publications ESnet News Publications and Presentations Galleries ESnet Awards and Honors Blog ESnet Live Home Science Engagement...

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

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract ManagementDiscoveringESnet Update Winter 2008 Jointat Conference

  3. 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)

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract ManagementDiscoveringESnet Update Winter 2008 JointatMichael Bennett

  4. 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)

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract ManagementDiscoveringESnet Update Winter 2008 JointatMichael

  5. Microsoft Word - ESnetServiceLevels-V4.0.doc

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |IsLove Your1 SECTION A. Project Title:404 2.1big-dataESnet Services

  6. BER Science Network Requirements

    SciTech Connect (OSTI)

    Dart, Eli; Tierney, Brian

    2010-11-01T23:59:59.000Z

    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.

  7. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearch >InternshipDepartment ofAugustDecember 201420th CenturyPrincetonNetwork

  8. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearch >InternshipDepartment ofAugustDecember 201420thSciencesNetworkBelle-II

  9. Biological and Environmental Research Network Requirements

    SciTech Connect (OSTI)

    Balaji, V. [Princeton Univ., NJ (United States). Earth Science Grid Federation (ESGF); Boden, Tom [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Cowley, Dave [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Dart, Eli [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States). ESNet; Dattoria, Vince [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States). ESNet; Desai, Narayan [Argonne National Lab. (ANL), Argonne, IL (United States); Egan, Rob [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Foster, Ian [Argonne National Lab. (ANL), Argonne, IL (United States); Goldstone, Robin [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Gregurick, Susan [U.S. Dept. of Energy, Washington, DC (United States). Biological Systems Science Division; Houghton, John [U.S. Dept. of Energy, Washington, DC (United States). Biological and Environmental Research (BER) Program; Izaurralde, Cesar [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Johnston, Bill [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States). ESNet; Joseph, Renu [U.S. Dept. of Energy, Washington, DC (United States). Climate and Environmental Sciences Division; Kleese-van Dam, Kerstin [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Lipton, Mary [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Monga, Inder [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States). ESNet; Pritchard, Matt [British Atmospheric Data Centre (BADC), Oxon (United Kingdom); Rotman, Lauren [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States). ESNet; Strand, Gary [National Center for Atmospheric Research (NCAR), Boulder, CO (United States); Stuart, Cory [Argonne National Lab. (ANL), Argonne, IL (United States); Tatusova, Tatiana [National Inst. of Health (NIH), Bethesda, MD (United States); Tierney, Brian [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States). ESNet; Thomas, Brian [Univ. of California, Berkeley, CA (United States); Williams, Dean N. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Zurawski, Jason [Internet2, Washington, DC (United States)

    2013-09-01T23:59:59.000Z

    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.

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

    Office of Science (SC) Website

    Third DOE BES Separations Research Workshop Chemical Sciences, Geosciences, & Biosciences (CSGB) Division CSGB Home About Research Areas Reports and Activities Science Highlights...

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

    E-Print Network [OSTI]

    Simunic, Tajana

    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

  12. BES Budget | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041cloth DocumentationProductsAlternativeOperationalAugust NazimBudget Basic Energy Sciences (BES)

  13. BES Reports | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron4(SC)PrincipalStaffTheofanisApplication1 AdvancedMinutesBES Reports

  14. BES Reports | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron4(SC)PrincipalStaffTheofanisApplication1 AdvancedMinutesBES

  15. DOE BES/DMS Materials Science and Engineering/Frederick Seitz Materials Research Laboratory A Tutorial on Electron Microscopy

    E-Print Network [OSTI]

    Zuo, Jian-Min "Jim"

    DOE BES/DMS Materials Science and Engineering/Frederick Seitz Materials Research Laboratory #12;DOE BES/DMS Materials Science and Engineering/Frederick Seitz Materials Research Laboratory and spectroscopy #12;DOE BES/DMS Materials Science and Engineering/Frederick Seitz Materials Research Laboratory I

  16. 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)

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWPSuccess Stories Siteandscience, and technologyA Science DMZ Eli Dart,

  17. 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...

  18. New features in the simulation of neutrino oscillation experiments with GLoBES 3.0

    E-Print Network [OSTI]

    Patrick Huber; Joachim Kopp; Manfred Lindner; Mark Rolinec; Walter Winter

    2007-08-28T23:59:59.000Z

    We present Version 3.0 of the GLoBES (``General Long Baseline Experiment Simulator'') software, which is a simulation tool for short- and long-baseline neutrino oscillation experiments. As a new feature, GLoBES 3.0 allows for user-defined systematical errors, which can also be used to simulate experiments with multiple discrete sources and detectors. In addition, the combination with external information, such as from different experiment classes, is simplified. As far as the probability calculation is concerned, GLoBES now provides an interface for the inclusion of non-standard physics without re-compilation of the software. The set of experiment prototypes coming with GLoBES has been updated. For example, built-in fluxes are now provided for the simulation of beta beams.

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

    E-Print Network [OSTI]

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

    2011-01-01T23:59:59.000Z

    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...

  20. Advance Network Reservation and Provisioning for Science

    SciTech Connect (OSTI)

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

    2009-07-10T23:59:59.000Z

    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.

  1. ASCR Science Network Requirements

    SciTech Connect (OSTI)

    Dart, Eli; Tierney, Brian

    2009-08-24T23:59:59.000Z

    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.

  2. Energy Sciences Network (ESnet) | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power AdministrationField8, 2000Consumption Survey (CBECS) Data 210EnergyEnergy(SC)

  3. DOE BES/DMS Materials Science and Engineering/Frederick Seitz Materials Research Laboratory Dept. of Materials and Engineering and Materials

    E-Print Network [OSTI]

    Zuo, Jian-Min "Jim"

    DOE BES/DMS Materials Science and Engineering/Frederick Seitz Materials Research Laboratory J. M://cbed.mse.uiuc.edu Theory and Practice of Electron Diffraction #12;DOE BES/DMS Materials Science and Engineering BES/DMS Materials Science and Engineering/Frederick Seitz Materials Research Laboratory Why

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

    SciTech Connect (OSTI)

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

    2009-06-15T23:59:59.000Z

    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.

  5. Strange particles production in relativistic nucleus-nucleus collisions at the RHIC BES energy region

    E-Print Network [OSTI]

    Zhang, Cong-Cong; Feng, Sheng-Qin; Yin, Zhong-Bao

    2015-01-01T23:59:59.000Z

    The parton and hadron cascade model PACIAE is utilized to investigate strange particle productions in Au + Au collision at $\\sqrt{s}$=62.4 GeV in different centralities and at $\\sqrt{s}$= 39, 11.5 and 7.7 GeV in the most central collision, respectively. It is shown that the transverse momentum distributions of strange particles by the PACIAE model fit well the RHIC BES experimental results.

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

    SciTech Connect (OSTI)

    Tierney, Brian L.; Dart, Eli

    2008-02-01T23:59:59.000Z

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

  7. Basic Energy Sciences (BES) Homepage | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron4 Self-Scrubbing:,, ,Development1U CO1) 1Metal this Issue...AboutAwardBES

  8. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron4 Self-Scrubbing:,, ,Development1USummerNewsDOEfunding-opportunities/BES

  9. BES Committees of Visitors | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041cloth DocumentationProductsAlternativeOperationalAugust NazimBudget Basic Energy SciencesBES

  10. DOE BES/DMS Materials Science and Engineering/Frederick Seitz Materials Research Laboratory Dept. of Materials and Engineering and Materials

    E-Print Network [OSTI]

    Zuo, Jian-Min "Jim"

    DOE BES/DMS Materials Science and Engineering/Frederick Seitz Materials Research Laboratory J. M/DMS Materials Science and Engineering/Frederick Seitz Materials Research Laboratory #12;DOE BES/DMS Materials Science and Engineering/Frederick Seitz Materials Research Laboratory Outline of This Lecture I. Electron

  11. 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...

  12. 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

  13. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy,ARMFormsGasRelease Date:research community -- hosted byColdNews &

  14. Who ESnet Serves

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del SolStrengthening aTurbulenceUtilizeRuraltheWelcomeAnalyticsWhite House honors

  15. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract ManagementDiscovering HowAnaDynamicGulfENSURINGSiteof ScienceHistory

  16. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract ManagementDiscovering

  17. 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]

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

    2013-01-01T23:59:59.000Z

    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...

  18. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearch > The EnergyCenterDioxide CaptureSeeNUCLEAR SCIENCENationalNavalESnet

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

    SciTech Connect (OSTI)

    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

    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.

  20. High Energy Physics and Nuclear Physics Network Requirements

    SciTech Connect (OSTI)

    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

    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.

  1. Operating Innovative Networks Workshop Series

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

    Workshop Series Enlighten Your Research Global Program Science Requirements Reviews Case Studies Contact Us Technical Assistance: 1 800-33-ESnet (Inside US) 1 800-333-7638...

  2. Previous Workshops

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

    FES Requirements Review 2014 BES Requirements Review 2014 Requirements Review Reports Case Studies Contact Us Technical Assistance: 1 800-33-ESnet (Inside US) 1 800-333-7638...

  3. FES Requirements Review 2014

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

    Review 2014 FES Attendees 2014 BES Requirements Review 2014 Requirements Review Reports Case Studies Contact Us Technical Assistance: 1 800-33-ESnet (Inside US) 1 800-333-7638...

  4. HEP/NP Requirements Review 2013

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

    FES Requirements Review 2014 BES Requirements Review 2014 Requirements Review Reports Case Studies Contact Us Technical Assistance: 1 800-33-ESnet (Inside US) 1 800-333-7638...

  5. Phoebus: Network Middleware for Next-Generation Network Computing

    SciTech Connect (OSTI)

    Martin Swany

    2012-06-16T23:59:59.000Z

    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.

  6. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power AdministrationField Campaign:INEA :Work4/11 ENVIROISSUES ESF 12 EventsAN 241.4ESUE Sign In

  7. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract ManagementDiscovering HowAnaDynamicGulfENSURINGSiteof

  8. 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

  9. 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...

  10. BES Open Funding Opportunities

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron4 Self-Scrubbing:,, ,Development1USummerNewsDOEfunding-opportunities/ The

  11. BES Science Highlights

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron4 Self-Scrubbing:,, ,Development1USummerNewsDOEfunding-opportunities/

  12. BES Workshop Reports

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron4 Self-Scrubbing:,,

  13. BES Requirements Review 2014

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041cloth DocumentationProductsAlternativeOperationalAugust NazimBudget Basic Energy SciencesBESBESBES

  14. NERSC BES Review 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Saleshttp://www.fnal.gov/directorate/nalcal/nalcal02_07_05_files/nalcal.gif Directorate - Events - FermilabEnergyNERSC

  15. NERSC BES Review 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Saleshttp://www.fnal.gov/directorate/nalcal/nalcal02_07_05_files/nalcal.gif Directorate - Events - FermilabEnergyNERSCChemical

  16. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Saleshttp://www.fnal.gov/directorate/nalcal/nalcal02_07_05_files/nalcal.gif Directorate -Advanced codeMonitoring onOctober 8 , 2 013

  17. NERSC BES Review 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |IsLove Your1Allocations NERSC Allocations: forNERSCPresentations

  18. Members of a workshop at the tenth IAYC Conference, July 7, 2006 1. ge -hak -te le -ber, ge -fil -te -fish: sha-bes iz a far -ge -ni -gn

    E-Print Network [OSTI]

    Finkel, Raphael

    A SUDE Members of a workshop at the tenth IAYC Conference, July 7, 2006 = 90 4 4 1. ge - hak - te le - ber, ge - fil - te - fish: sha- bes iz a far - ge - ni - gn 2. kha - le gri - vn, ku - gl yoykh: ku - men on di ma - khe - to - nem. 3. shtru - dl, tsi - mes, zi - se kalte: a su - de vos men vet ge

  19. Belle-II Experiment Network Requirements

    SciTech Connect (OSTI)

    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

    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.

  20. ESnet Extends 100G Connectivity Across Atlantic

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

    anchors dropped by supertankers riding out storms in the North Sea can still damage the fiber optics inside the cables. Undersea earthquakes pose another hazard. According to...

  1. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWPAlumniComplex historian ... B&WBenhighlights/ TheBER

  2. CENIC Honors ESnet's 100G Testbed

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWPSuccess Stories Siteandscience, and8 FY0LinkA Look atCEN EnergyCENIC

  3. 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

  4. Sandia National Laboratories: BES EFRC

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

    Efficiency, Solid-State Lighting A new top-down method for fabricating gallium nitride (GaN) nanowires with precisely controlled geometries enables single-mode, rather than...

  5. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041cloth DocumentationProductsAlternativeOperationalAugust NazimBudget Basic Energy

  6. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041cloth DocumentationProductsAlternativeOperationalAugust NazimBudget Basic

  7. Science DMZ at the University of Florida

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

    for their pioneering efforts in both networking and computing to facilitate science and health care research. As early adopters of ESnet's Science DMZ in 2004, originally called...

  8. GreenTouch Consortium Passes 50-Member Milestone, Adds Seven...

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

    will define them. The new members are: CommScopeAndrew - United States Energy Sciences Network (ESnet)Lawrence Berkeley National Laboratory - United States Korea Advanced...

  9. 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)...

  10. Brookhaven National Laboratory moves to the fast lane

    E-Print Network [OSTI]

    2006-01-01T23:59:59.000Z

    "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)

  11. OLiMPS: OpenFlow Link-layer MultiPath Switching

    SciTech Connect (OSTI)

    Newman, Harvey B [California Institute of Technology; Barczyk, Artur [California Institute of Technology; Bredel, Michael [California Institute of Technology

    2014-11-17T23:59:59.000Z

    The OLiMPS projects goal was the development of an OpenFlow controller application allowing load balancing over multiple switched paths across a complex network topology. The second goal was to integrate the controller with Dynamic Circuit Network systems such as ESnets OSCARS. Both goals were achieved successfully, as laid out in this report.

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

    SciTech Connect (OSTI)

    Newman, Harvey B; Barczyk, Artur J

    2013-04-05T23:59:59.000Z

    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.

  13. 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

  14. NERSC/DOE BES Requirements Workshop Presentations

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

    NERSC Role in Basic Energy Sciences Research February 9, 2010 | Author(s): Kathy Yelick | Case Studies: Geosciences DOE POC: Nicholas Woodward February 9, 2010 | Author(s): Andrew...

  15. NERSC/DOE BES Requirements Workshop Presentations

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

    Gathering Workshop, Workshop Goals February 9, 2010 | Author(s): Yukiko Sekine | Case Studies: Geosciences DOE POC: Nicholas Woodward February 9, 2010 | Author(s): Andrew...

  16. NERSC/DOE BES Requirements Workshop Agenda

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

    Sciences Research Kathy Yelick, NERSC Director 11:30 a.m. 8:30 a.m. Break 11:50 8:50 Case Studies: Geosciences DOE POC: Nicholas Woodward Andrew Felmy Greg Newman Tony Ladd...

  17. Integrating BES in the wastewater and sludge

    E-Print Network [OSTI]

    Angenent, Lars T.

    , 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

  18. NERSC/DOE BES Requirements Workshop Logistics

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

    Logistics Workshop Logistics Goals This workshop is being organized by the Department of Energy's Office of Basic Energy Sciences and Office of Advanced Scientific Computing...

  19. NERSC/DOE BES Requirements Workshop Agenda

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |IsLoveReference Materials ReferenceReference Materials

  20. NERSC/DOE BES Requirements Workshop Logistics

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |IsLoveReference Materials ReferenceReference MaterialsLogistics

  1. NERSC/DOE BES Requirements Workshop Participants

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |IsLoveReference Materials ReferenceReferenceParticipants

  2. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |IsLoveReference Materials

  3. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHigh SchoolIn12electron beamJoin2015Just Plain Cool,relocatesm 526: C

  4. BES2017-v2.10

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041cloth DocumentationProductsAlternativeOperationalAugust NazimBudget Basic EnergyBasic Energy

  5. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Saleshttp://www.fnal.gov/directorate/nalcal/nalcal02_07_05_files/nalcal.gif Directorate -Advanced codeMonitoring on

  6. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Saleshttp://www.fnal.gov/directorate/nalcal/nalcal02_07_05_files/nalcal.gif Directorate -Advanced codeMonitoring NERSCbasedAnalysis

  7. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Saleshttp://www.fnal.gov/directorate/nalcal/nalcal02_07_05_files/nalcal.gif Directorate -Advanced codeMonitoring NERSCbasedAnalysis3D

  8. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy,ARMForms About BecomeTechnologiesVehicleAuthorAwardsarticleOffice

  9. 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...

  10. Distributed Computing Environment in the ESnet Community R. Roy Whitney

    E-Print Network [OSTI]

    including animation, virtual laboratory technologies can exploit all of these aspects of human communication to the questions can be summarized in the concept of virtual laboratories. Humans want their resources responding. The human end user receives the benefit of virtual presence at on-line facilities and makes use of a rich

  11. Energy Secretary Moniz Honors ESnet's OSCARS Bandwidth Reservation

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy,ARMFormsGasRelease Date:researchEmergingPartnershipBio-Inspired

  12. 27264_ESNet_HEP_NP_Cover_final3_102113

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearch >InternshipDepartment ofAugustDecember

  13. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |IsLove Your1 SECTION A. Project Title:404 2.1big-data

  14. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract ManagementDiscovering HowAnaDynamicGulfENSURINGSite MapCenter

  15. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract ManagementDiscovering HowAnaDynamicGulfENSURINGSite

  16. 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

  17. Social Networking? Secure Networking?

    E-Print Network [OSTI]

    Chapman, Michael S.

    Social Networking? Secure Networking? Teaching & Learning Technology Roundtable February 2010 #12 The intent behind the current security measures in place at OHSU The OHSU Social Networking Guidelines 2. To begin a campus wide dialogue exploring the changing world of online social networking and it

  18. 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)

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

    2014-03-01T23:59:59.000Z

    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.

  19. HPSS Yearly Network Traffic

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

    growth in network traffic to storage over the years. Network Traffic Growth Network Distribution 2010 Network Distribution 2010 Network Distribution 2009 Network Distribution...

  20. Artificial Neural Networks Single Layer Networks Multi Layer Networks Generalization Artificial Neural Networks

    E-Print Network [OSTI]

    Kjellstrm, Hedvig

    Artificial Neural Networks Single Layer Networks Multi Layer Networks Generalization Artificial Neural Networks Artificial Neural Networks Single Layer Networks Multi Layer Networks Generalization 1 Artificial Neural Networks Properties Applications Classical Examples Biological Background 2 Single Layer

  1. Artificial Neural Networks Single Layer Networks Multi Layer Networks Generalization Artificial Neural Networks

    E-Print Network [OSTI]

    Kjellstrm, Hedvig

    Artificial Neural Networks Single Layer Networks Multi Layer Networks Generalization Artificial Neural Networks #12;Artificial Neural Networks Single Layer Networks Multi Layer Networks Generalization 1 Artificial Neural Networks Properties Applications Classical Examples Biological Background 2

  2. Network Economics Anna Nagurney

    E-Print Network [OSTI]

    Nagurney, Anna

    Performance/Efficiency Measure with Applications to a Variety of Network Systems Transportation Network with transportation as the unifying application. #12;Subway Network Railroad Network Iridium Satellite Constellation Network Satellite and Undersea Cable Networks Duke Energy Gas Pipeline Network Transportation

  3. Year 1 Progress Report Computational Materials and Chemical Sciences Network Administration

    SciTech Connect (OSTI)

    Rehr, John J.

    2012-08-02T23:59:59.000Z

    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.

  4. Efficient network camouflaging in wireless networks

    E-Print Network [OSTI]

    Jiang, Shu

    2006-04-12T23:59:59.000Z

    when protected networks are wireless networks, such as sensor networks and mobile ad hoc networks. The reason is that wireless networks are typically subject to resource constraints (e.g. bandwidth, power supply) and possess some unique characteristics...

  5. Distributed control in a mean-field cortical network model: Implications for seizure suppression

    E-Print Network [OSTI]

    Ching, ShiNung

    Brain electrical stimulation (BES) has long been suggested as a means of controlling pathological brain activity. In epilepsy, control of a spatially localized source, the seizure focus, may normalize neuronal dynamics. ...

  6. Sensor networks for social networks

    E-Print Network [OSTI]

    Farry, Michael P. (Michael Patrick)

    2006-01-01T23:59:59.000Z

    This thesis outlines the development of software that makes use of Bayesian belief networks and signal processing techniques to make meaningful inferences about real-world phenomena using data obtained from sensor networks. ...

  7. Cognitive Radio Networks as Sensor Networks

    E-Print Network [OSTI]

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

    2007-01-01T23:59:59.000Z

    assuming the cognitive radios know their own coordinates.Networked Sensing Cognitive Radio Networks As SensorIntroduction: Cognitive Radio (CR) Networks The Need For

  8. Continuous Time Bayesian Network Approximate Inference and Social Network Applications

    E-Print Network [OSTI]

    Fan, Yu

    2009-01-01T23:59:59.000Z

    Modeling Social Network Dynamics . . . . . . . . . . . .85 Social Network Dynamic85 Static Social Network Models . . . . . . . . . . . . .

  9. NetworksNetworks andand hypernetworkshypernetworks 33

    E-Print Network [OSTI]

    Vilela Mendes, Rui

    NetworksNetworks andand hypernetworkshypernetworks 33 NetworksNetworks inin economyeconomy Rui.1 #12;TheThe networksnetworks ofof thethe corporatecorporate eliteelite TheThe Elite 16Elite 16 inin informationinformation inin thethe networknetwork !! CorporateCorporate governancegovernance practicespractices

  10. Routing in hybrid networks

    E-Print Network [OSTI]

    Gupta, Avinash

    2001-01-01T23:59:59.000Z

    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...

  11. Peer-to-Peer Networks Social Networks

    E-Print Network [OSTI]

    Marbach, Peter

    Overview Peer-to-Peer Networks Social Networks Research Hybrid Peer-to-Peer Networks P2P and Online Social Networks: The Best Has Yet to Come Peter Marbach, Dept. of Computer Science University of Toronto P2P and Online Social Networks: The Best Has Yet to Come #12;Overview Peer-to-Peer Networks Social

  12. Clock Auto-synchronizing Method for BES III ETOF Upgrade

    E-Print Network [OSTI]

    Si-Yu, Wang; Shu-Bin, Liu; Qi, An

    2015-01-01T23:59:59.000Z

    An automatic clock synchronizing method implemented in field programmable gate array (FPGA) is proposed in this paper. It is developed for the clock system which will be applied in the end-cap time of flight (ETOF) upgrade of the Beijing Spectrometer (BESIII). In this design, an FPGA is used to automatically monitor the synchronization circuit and deal with signals coming from external clock synchronization circuit. By testing different delay time of the detection signal and analyzing state signals returned, the synchronization windows will be found automatically in FPGA. The new clock system not only retains low clock jitter which is less than 20ps root mean square (RMS), but also demonstrates automatic synchronization to the beam bunches. So far, the clock auto-synchronizing function has been working successfully under a series of tests. It will greatly simplify the system initialization and maintenance in the future.

  13. Clock Auto-synchronizing Method for BES III ETOF Upgrade

    E-Print Network [OSTI]

    Wang Si-Yu; Cao Ping; Liu Shu-Bin; An Qi

    2015-03-09T23:59:59.000Z

    An automatic clock synchronizing method implemented in field programmable gate array (FPGA) is proposed in this paper. It is developed for the clock system which will be applied in the end-cap time of flight (ETOF) upgrade of the Beijing Spectrometer (BESIII). In this design, an FPGA is used to automatically monitor the synchronization circuit and deal with signals coming from external clock synchronization circuit. By testing different delay time of the detection signal and analyzing state signals returned, the synchronization windows will be found automatically in FPGA. The new clock system not only retains low clock jitter which is less than 20ps root mean square (RMS), but also demonstrates automatic synchronization to the beam bunches. So far, the clock auto-synchronizing function has been working successfully under a series of tests. It will greatly simplify the system initialization and maintenance in the future.

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

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

    distinguished by their large surface-to-volume ratios that, upon integration into devices, can lead to a high density of nanoscale interfaces. However, the relationship...

  15. Status for Learning Curves indlg ved BES temadag om

    E-Print Network [OSTI]

    cost of Danish wind turbines 0 200 400 600 800 1970 1980 1990 2000 2010 2020 Ratedpower[kW] 0 5 10 15 Curves - cost of wind energy technology 0,100 1,000 100 1000 10000 100000 Danish wind industry's global's Law": Size - in rated power - doubles every four years #12;On Experience Curves Cost decreases

  16. NERSC/DOE BES Requirements Workshop Worksheet - Andrew Felmy

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

    at providing a molecular scale understanding of surface complexation reactions at oxide, oxyhydroxide, and silicate minerals through the use of molecular modeling...

  17. NERSC/DOE BES Requirements Workshop Worksheet - Tony Ladd

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

    systems. We have developed a state-of-the-art simulation that captures the complex topography of the fracture surface with unprecedented fidelity. We are developing a new...

  18. NERSC/DOE BES Requirements Workshop Worksheet - Thomas Devereaux

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

    II at Brookhaven, are expected to improve experimental accuracy and hold the promise of examining new phenomena and materials. Although progress has been made in the...

  19. 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...

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

    Office of Science (SC) Website

    Dodecyl Ethers in Supercritical Carbon Dioxide and Ethane." Yee, G.G.; Fulton, J.L.; Smith, R.D., Langmuir 1992, (8):377-384). The method of FTIR for studies of supercritical...

  1. 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...

  2. 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...

  3. NERSC/DOE BES Requirements Workshop Worksheet - Peter Cummings

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

    Fluids Principal Investigator Peter Cummings Participating Organizations Vanderbilt University Funding Agencies DOE SC DOE NSA NSF NOAA NIH Other: DOEEERE 2. Project Summary...

  4. 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....

  5. 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 &...

  6. NERSC/DOE BES Requirements Workshop Worksheet - Normand Modine

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

    Nanoscale Phenomena thrust is the component of CINT dedicated to developing and applying theory to enable nanoscale integration. Two examples of specific goals that we hope to...

  7. 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...

  8. 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...

  9. Electron and Photon Stimulated Desorption (BES 2) | EMSL

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

    base pressure of 1 10-10 Torr is reached by a combination of an ultrahigh vacuum turbo pump and cryocooled titanium sublimation pump. User Portal Name: Electron and Photon...

  10. 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...

  11. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |IsLoveReference Materials ReferenceReference

  12. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |IsLoveReference MaterialsReference Materials Reference Materials

  13. Sandia Energy - BES Highlight: Stress-Induced Nanoparticle

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiation Protection245C Unlimited ReleaseWelcome ton6Andy ArmstrongCrystallization

  14. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHigh SchoolIn12electron 9 5 - -/e),,s - 6157Bioenergy0991 Preprint

  15. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041cloth DocumentationProductsAlternativeOperationalAugust NazimBudget

  16. Collaborative Combustion Research with BES | Department of Energy

    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 DataDepartment of Energy Your Density Isn't Your Destiny: Theof"Wave the White Flag"

  17. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power Administration wouldDECOMPOSITION OFSupplementalC. L. Martin andandTop Science News

  18. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty EditCalifornia: EnergyAvignon,Belcher Homes JumpMaintenance

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

    Office of Science (SC) Website

    in the federal government's management and use of information technology. Link to the LBNL press release> External link Link to the ACTIAC web site> External link Link to the...

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

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy,ARMFormsGasRelease Date:research community -- hosted byColdNews

  1. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearch >InternshipDepartment of Energy with Well-BoreAldo BonaseraOffice of

  2. ESnet Enhances Scientific Productivity Around the Globe | U.S. DOE Office

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract ManagementDiscovering HowAnaDynamicGulfENSURINGSiteof Science

  3. 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)

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC) Environmental Assessments (EA) / EnvironmentalStoriesPublicErin AbernethyErnie

  4. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |IsLove Your1 SECTION A. Project Title:404 2.1big-data science

  5. Secure and efficient wireless networks

    E-Print Network [OSTI]

    Bellardo, John Michael

    2006-01-01T23:59:59.000Z

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

  6. Network Embedded Systems Sensor Networks

    E-Print Network [OSTI]

    Amir, Yair

    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

  7. ESCC Evening Discussion: High Performance Data Transfer 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract ManagementDiscovering HowAnaDynamicGulfENSURING AESCC About ESnet

  8. Network coding for robust wireless networks

    E-Print Network [OSTI]

    Kim, MinJi, Ph. D. Massachusetts Institute of Technology

    2012-01-01T23:59:59.000Z

    Wireless networks and communications promise to allow improved access to services and information, ubiquitous connectivity, and mobility. However, current wireless networks are not well-equipped to meet the high bandwidth ...

  9. Network sampling and classification: An investigation of network model representations

    E-Print Network [OSTI]

    Needleman, Daniel

    only one or two connectivity patterns of an observed network--such as degree distribution, or diameterNetwork sampling and classification: An investigation of network model representations Edoardo M: Connectivity pattern Network type Network metrics Network sampling Network classification Methods

  10. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated CodesTransparency VisitSilverNepheline crystallization inNetCDF Network

  11. Networks, Information & Social Capital

    E-Print Network [OSTI]

    Aral, Sinan

    2008-01-26T23:59:59.000Z

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

  12. 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...

  13. autoassociative 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 98 Fuzzy neural network pattern recognition algorithm for classification of the events in...

  14. 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...

  15. 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...

  16. 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...

  17. Survivability Considerations in Wireless Networks

    E-Print Network [OSTI]

    Ning, Jianxia

    2012-01-01T23:59:59.000Z

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

  18. Mobility in Wireless Sensor Networks

    E-Print Network [OSTI]

    Mehta, Ankur Mukesh

    2012-01-01T23:59:59.000Z

    Channel-Specific Wireless Sensor Network Path Data. In:Average Power in Wireless Sensor Networks through Data Ratedesign space of wireless sensor networks. In: IEEE Wireless

  19. Interconnection networks

    DOE Patents [OSTI]

    Faber, V.; Moore, J.W.

    1988-06-20T23:59:59.000Z

    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.

  20. Solving stochasic PERT networks exactly using hybrid Bayesian networks

    E-Print Network [OSTI]

    Cinicioglu, Esma N.; Shenoy, Prakash P.

    2006-09-16T23:59:59.000Z

    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...

  1. When Network Coding improves the Performances of Clustered Wireless Networks

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    When Network Coding improves the Performances of Clustered Wireless Networks that significantly increases the performances of clustering algorithms in wireless multi-hop networks-XOR coding; wireless multi-hop networks; clustering I. INTRODUCTION Partitioning nodes

  2. Networking Call for Residential Network Members Peer Exchange...

    Energy Savers [EERE]

    Networking Call for Residential Network Members Peer Exchange Call Networking Call for Residential Network Members Peer Exchange Call March 12, 2015 12:30PM to 2:0...

  3. Characterization of network traffic on a local area network

    E-Print Network [OSTI]

    Suravarapu, Prasad Devi

    1995-01-01T23:59:59.000Z

    In this thesis we analyze network traffic on a local area network in an academic environment. We analyze the trace based on transport-level and network-level applications. Networks conversations are studied using the newly developed packet...

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

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |IsLove Your1 SECTION A. Revised: April 3, 2014ComparativeESnet4:

  5. 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...

  6. Distributed control of coded networks

    E-Print Network [OSTI]

    Zhao, Fang, Ph. D. Massachusetts Institute of Technology

    2010-01-01T23:59:59.000Z

    The introduction of network coding has the potential to revolutionize the way people operate networks. For the benefits of network coding to be realized, distributed solutions are needed for various network problems. In ...

  7. Dynamic NetworksDynamic Networks ApplicationsApplications

    E-Print Network [OSTI]

    Nagurney, Anna

    of today. #12;The study of the efficient operation on transportation networks dates to ancient Rome telecommunication networks and energy networks. No longer are networks independent of one another but critically. #12;MBTA Network #12;Major Highway and Railroad Networks in the US #12;Water Freight Transport Routes

  8. Bayesian networks for reconstructing transcriptional regulatory networks

    E-Print Network [OSTI]

    Borenstein, Elhanan

    distribution [koller and Friedman] Let G be a Bayesian network graph over the variables X1,...,Xn. We say that a distribution P factorizes according to G if P can be expressed as: A Bayesian network is a pair (G,P) where P, L | I G S | I, D I D : #12;7 13 The Student Bayesian network Joint distribution P(I,D,G,S,L) = 14

  9. Using Neural Networks

    E-Print Network [OSTI]

    Gabel, S.

    2003-01-01T23:59:59.000Z

    A neural network approach is employed for estimating key efficiency parameters in a gas turbine engine. The concept is demonstrated within a limited operating region for a given engine. The neural network is developed to estimate certain...

  10. Class network routing

    DOE Patents [OSTI]

    Bhanot, Gyan (Princeton, NJ); 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); Steinmacher-Burow, Burkhard D. (Mount Kisco, NY); Takken, Todd E. (Mount Kisco, NY); Vranas, Pavlos M. (Bedford Hills, NY)

    2009-09-08T23:59:59.000Z

    Class network routing is implemented in a network such as a computer network comprising a plurality of parallel compute processors at nodes thereof. Class network routing allows a compute processor to broadcast a message to a range (one or more) of other compute processors in the computer network, such as processors in a column or a row. Normally this type of operation requires a separate message to be sent to each processor. With class network routing pursuant to the invention, a single message is sufficient, which generally reduces the total number of messages in the network as well as the latency to do a broadcast. Class network routing is also applied to dense matrix inversion algorithms on distributed memory parallel supercomputers with hardware class function (multicast) capability. This is achieved by exploiting the fact that the communication patterns of dense matrix inversion can be served by hardware class functions, which results in faster execution times.

  11. Beyond Network Equivalence

    E-Print Network [OSTI]

    Koetter, Ralf

    In earlier work, we described an equivalence result for network capacity. Roughly, that result is as follows. Given a network of noisy, memoryless, point-to-point channels, replace each channel by a noiseless, memoryless ...

  12. Network coded wireless architecture

    E-Print Network [OSTI]

    Katti, Sachin Rajsekhar

    2008-01-01T23:59:59.000Z

    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 ...

  13. Connectibles : tangible social networking

    E-Print Network [OSTI]

    Kalanithi, Jeevan James

    2007-01-01T23:59:59.000Z

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

  14. Using Neural Networks

    E-Print Network [OSTI]

    Gabel, S.

    A neural network approach is employed for estimating key efficiency parameters in a gas turbine engine. The concept is demonstrated within a limited operating region for a given engine. The neural network is developed to estimate certain...

  15. Social Network and Communications Institutional Change Principle...

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

    Network and Communications Institutional Change Principle Social Network and Communications Institutional Change Principle Federal agencies can use social networks and...

  16. 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...

  17. Complex Networked Control Systems

    E-Print Network [OSTI]

    buildings, modern control systems are increasingly incorporating communication networks in feedback loops [5Complex Networked Control Systems W e live and operate in a networked world. We drive to work on the performance of feedback control systems [5], [6]. Signifi- cant attention is focused on devising local

  18. Financial Networks Anna Nagurney

    E-Print Network [OSTI]

    Nagurney, Anna

    in decision-making; constraints on resources: human, financial, natural, time, etc.; global reach of many, Transmission Lines Water, Gas, Oil, Electricity Anna Nagurney Financial Networks #12;Interstate Highway System Freight Network World Oil Routes Natural Gas Flows Network Systems Internet Traffic Anna Nagurney

  19. Virtual Gateway Network Documentation

    E-Print Network [OSTI]

    Segall, Adrian

    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

  20. Recommendation in Social Networks

    E-Print Network [OSTI]

    Ester, Martin

    Recommendation in Social Networks Martin Ester Simon Fraser University Tutorial at RecSys 2013 October 12 , 2013 #12;Martin Ester: Recommendation in Social Networks, Tutorial at RecSys 2013 2 Outline Introduction Recommendation in social networks Memory based approaches for item recommendation Model

  1. Network topology analysis.

    SciTech Connect (OSTI)

    Kalb, Jeffrey L.; Lee, David S.

    2008-01-01T23:59:59.000Z

    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.

  2. 4. Network Flows 4.2 The Network Simplex Algorithm

    E-Print Network [OSTI]

    Krumke, Sven O.

    Contents 4. Network Flows 4.2 The Network Simplex Algorithm 1 #12;Starting Solutions Extend Set EB as all new edges, EL as all old edges 2 #12;Network Simplex Part I Require: Network N = (V , E #12;Network Simplex Part II 6: Adjust x: xij := xij + if (i, j) C+ es xij - if (i, j) C- es xij

  3. Flow-based XOR Network Coding for Lossy Wireless Networks

    E-Print Network [OSTI]

    Wu, Jie

    1 Flow-based XOR Network Coding for Lossy Wireless Networks Abdallah Khreishah, Issa M. Khalil, Pouya Ostovari, and Jie Wu Abstract--A practical way for maximizing the throughput of a wireless network. We also extend our 2-hop relay networks results to multihop wireless networks by providing a linear

  4. Distributed Network Monitoring with Bounded Link Utilization in IP Networks

    E-Print Network [OSTI]

    Li, Li Erran

    1 Distributed Network Monitoring with Bounded Link Utilization in IP Networks Li Li Center multiple pollers located at different points in the network. However, using distributed pollers could for Networking Research Lucent Bell Labs erranlli@dnrc.bell-labs.com Marina Thottan Center for Networking

  5. Current Testbed Research

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

    Science Engagement Move your data Programs & Workshops Science Requirements Reviews Case Studies News & Publications ESnet News Publications and Presentations Galleries ESnet...

  6. BER Requirements Review 2015

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

    Attendees 2015 ASCR Requirements Review 2015 Previous Reviews Requirements Review Reports Case Studies News & Publications ESnet News Publications and Presentations Galleries ESnet...

  7. ASCR Requirements Review 2015

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

    Requirements Review 2015 ASCR Attendees 2015 Previous Reviews Requirements Review Reports Case Studies News & Publications ESnet News Publications and Presentations Galleries ESnet...

  8. 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...

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

    Office of Science (SC) Website

    History Germantown Site History Basic Energy Sciences (BES) BES Home About Staff Organization Chart .pdf file (47KB) BES Budget BES Committees of Visitors Directions Jobs...

  10. Chapters 6 & 8 Wireless Networks

    E-Print Network [OSTI]

    Lu, Enyue "Annie"

    Chapters 6 & 8 Wireless Networks and Security Computer Networking:ATop Down Approach 6th edition.W. Ross, All Rights Reserved Wireless, Mobile Networks 6-1 #12;Wireless, Mobile Networks 6-2 Ch. 6: Wireless and Mobile Networks Background: # wireless (mobile) phone subscribers now exceeds # wired phone

  11. A network security monitor

    SciTech Connect (OSTI)

    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

    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.

  12. Potential Networks, Contagious Communities, and Understanding Social Network Structure

    E-Print Network [OSTI]

    Schoenebeck, Grant

    2013-01-01T23:59:59.000Z

    In this paper we study how the network of agents adopting a particular technology relates to the structure of the underlying network over which the technology adoption spreads. We develop a model and show that the network of agents adopting a particular technology may have characteristics that differ significantly from the social network of agents over which the technology spreads. For example, the network induced by a cascade may have a heavy-tailed degree distribution even if the original network does not. This provides evidence that online social networks created by technology adoption over an underlying social network may look fundamentally different from social networks and indicates that using data from many online social networks may mislead us if we try to use it to directly infer the structure of social networks. Our results provide an alternate explanation for certain properties repeatedly observed in data sets, for example: heavy-tailed degree distribution, network densification, shrinking diameter...

  13. Random Walks and Electrical Networks Electrical Network

    E-Print Network [OSTI]

    Jonathon Peterson

    2008-01-30T23:59:59.000Z

    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...

  14. Efficient network camouflaging in wireless networks

    E-Print Network [OSTI]

    Jiang, Shu

    2006-04-12T23:59:59.000Z

    Camouflaging is about making something invisible or less visible. Network camouflaging is about hiding certain traffic information (e.g. traffic pattern, traffic flow identity, etc.) from internal and external eavesdroppers such that important...

  15. COMPRESSIVE LINEAR NETWORK CODING FOR EFFICIENT DATA COLLECTION IN WIRELESS SENSOR NETWORKS

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    COMPRESSIVE LINEAR NETWORK CODING FOR EFFICIENT DATA COLLECTION IN WIRELESS SENSOR NETWORKS fields, Wireless Sensor Networks Index Terms-- Belief Propagation, Network Coding, Fi- nite fields, Wireless Sensor Networks 1. INTRODUCTION A Wireless Sensor Network (WSN) consists of spatially dis

  16. On Benefits of Network Coding in Bidirected Networks and Hyper-networks

    E-Print Network [OSTI]

    Li, Zongpeng

    . It was shown that network coding helps increase the throughput and reduce the cost of data transmission to study the coding advantage in two types of parameterized networks, with richer modeling power. The firstOn Benefits of Network Coding in Bidirected Networks and Hyper-networks Xunrui Yin, Xin Wang, Jin

  17. Reconfigureable network node

    DOE Patents [OSTI]

    Vanderveen, Keith B. (Tracy, CA); Talbot, Edward B. (Livermore, CA); Mayer, Laurence E. (Davis, CA)

    2008-04-08T23:59:59.000Z

    Nodes in a network having a plurality of nodes establish communication links with other nodes using available transmission media, as the ability to establish such links becomes available and desirable. The nodes predict when existing communications links will fail, become overloaded or otherwise degrade network effectiveness and act to establish substitute or additional links before the node's ability to communicate with the other nodes on the network is adversely affected. A node stores network topology information and programmed link establishment rules and criteria. The node evaluates characteristics that predict existing links with other nodes becoming unavailable or degraded. The node then determines whether it can form a communication link with a substitute node, in order to maintain connectivity with the network. When changing its communication links, a node broadcasts that information to the network. Other nodes update their stored topology information and consider the updated topology when establishing new communications links for themselves.

  18. 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...

  19. 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...

  20. 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...

  1. 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...

  2. 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...

  3. 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...

  4. 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...

  5. 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...

  6. Modeling and Control Interactive Networks

    E-Print Network [OSTI]

    Amin, S. Massoud

    Modeling and Control of Complex Interactive Networks By Massoud Amin E nergy, telecommunications complex networks, geographi- cally dispersed, nonlinear, and interacting both among themselves, distributed, highly interactive networks, nor does any such entity have the ability to evaluate, monitor

  7. Survivability Considerations in Wireless Networks

    E-Print Network [OSTI]

    Ning, Jianxia

    2012-01-01T23:59:59.000Z

    Forensics Analysis of Packet Losses in Wireless Networks 2.1Neighbor Discovery in 60 GHz Indoor Wireless Networks 4.1in Wireless Networks . . . . . . . . . . . . . 4.2.4

  8. FUNDAMENTAL PERFORMANCE LIMITS OF WIRELESS SENSOR NETWORKS

    E-Print Network [OSTI]

    Li, Baochun

    FUNDAMENTAL PERFORMANCE LIMITS OF WIRELESS SENSOR NETWORKS ZHIHUA HU, BAOCHUN LI Abstract. Understanding the fundamental performance limits of wireless sensor networks is critical towards. Key words. Wireless sensor networks, network capacity, network lifetime. 1. Introduction. When

  9. JAMMING COMMUNICATION NETWORKS UNDER COMPLETE ...

    E-Print Network [OSTI]

    2007-02-08T23:59:59.000Z

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

  10. Water Network Design by MINLP

    E-Print Network [OSTI]

    2008-02-12T23:59:59.000Z

    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...

  11. Basic Energy Sciences Network Requirements Review Final Report

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWPAlumniComplex historian ...BES Principal

  12. Comparative analysis of collaboration networks

    SciTech Connect (OSTI)

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

    2011-03-14T23:59:59.000Z

    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.

  13. Honors Faculty Mentor Network

    E-Print Network [OSTI]

    Arnold, Jonathan

    @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

  14. Computer Networks Rutgers University

    E-Print Network [OSTI]

    Badrinath, B. R.

    Ed. (2010), by James F. Kurose and Keith W. Ross. l TCP/IP Illustrated, Volume 1: The Protocols by W. Richard Stevens. l Unix Network Programming: Networking APIs: Sockets and XTI (Volume 1) by W. Richard Stevens. l Advanced Programming in the Unix Environment by W. Richard Stevens, Addison-Wesley, 1993. l I

  15. Financial Networks Anna Nagurney

    E-Print Network [OSTI]

    Nagurney, Anna

    World Oil Routes Natural Gas Flows Network Systems Internet Traffic Anna Nagurney Financial Networks #12 Gothenburg University Gothenburg, Sweden and John F. Smith Memorial Professor Director Virtual Center, 2012 School of Business, Economics and Law Gothenburg University, Sweden Anna Nagurney Financial

  16. Analyzing Network-Wide Interactions Using Graphs: Techniques and Applications

    E-Print Network [OSTI]

    Iliofotou, Marios

    2011-01-01T23:59:59.000Z

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

  17. Network on a Chip: Modeling Wireless Networks with Asynchronous VLSI

    E-Print Network [OSTI]

    Manohar, Rajit

    for Internet-scale networks (for instance, see [2, 3, 5]), as well as the design of flexible and compositionalNetwork on a Chip: Modeling Wireless Networks with Asynchronous VLSI Rajit Manohar and Clinton, Ithaca NY 14853 Abstract We introduce the notion of a network-on-a-chip: a programmable, asynchronous

  18. Byzantine Modification Detection in Multicast Networks with Random Network Coding

    E-Print Network [OSTI]

    Mdard, Muriel

    network coding. Each exogenous source packet is augmented with a flexible number of hash symbols of the random network code, and can have the same (or greater) transmission capacity compared to the sourceByzantine Modification Detection in Multicast Networks with Random Network Coding Tracey Ho, Ben

  19. Introduction to Network Science 1 Introduction to Network Science

    E-Print Network [OSTI]

    Safro, Ilya

    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

  20. Social Network Analysis Plugin (SNAP) for Mesh Networks

    E-Print Network [OSTI]

    Kotz, David

    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

  1. UCIT Data Network Standards Campus Wireless Network Standard

    E-Print Network [OSTI]

    Habib, Ayman

    UCIT Data Network Standards Campus Wireless Network Standard Classification IT Infrastructure Table.1. Standardization of the U of C's 802.11 wireless networks and frequency bands is required to insure availability of the wireless network to the campus community. Standards of use will improve the wireless service and help

  2. Prolonging Network Lifetime for Target Coverage in Sensor Networks

    E-Print Network [OSTI]

    Liang, Weifa

    limits the network lifetime and impairs the network quality. To prolong the network lifetime, energy-efficiency network used for monitoring targets. One efficient method of reducing the energy consumption of sensors Department of Computer Science, The Australian National University Canberra, ACT 0200, Australia Abstract

  3. INTERACTING WITH SOCIAL NETWORKS TO IMPROVE HEALTHCARE BODY SENSOR NETWORKS

    E-Print Network [OSTI]

    Miles, Will

    INTERACTING WITH SOCIAL NETWORKS TO IMPROVE HEALTHCARE BODY SENSOR NETWORKS by DAVID BAUSCHLICHER monitor and record data while minimizing the energy expenditure of nodes in the BSN. Social networking to a social network creates the unique ability to share health related data with other users through social

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

    E-Print Network [OSTI]

    Greer, Julia R.

    #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

  5. Mobile RobotsSensor Networks Autonomous Sensor/Actuator Networks

    E-Print Network [OSTI]

    Breu, Ruth

    mobile networks with dynamic topology Optimized task allocation and communication based on application and energy constraints Secure communication and data management in mobile sensor networks Solution SpaceMobile RobotsSensor Networks Autonomous Sensor/Actuator Networks ROSES RObot assisted SEnsor

  6. Collective network routing

    DOE Patents [OSTI]

    Hoenicke, Dirk

    2014-12-02T23:59:59.000Z

    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.

  7. CAGE100: Real-Time Multi-Port Packet Capture System for 100 Gigabit Ethernet Traffic

    SciTech Connect (OSTI)

    Ali Namazi; Babak Azimi-Sadjadi; Chujen Lin

    2012-06-14T23:59:59.000Z

    Future large scale sciences are anticipated to use massive amount of data in their experiments. DOE?¢????s ESnet (Energy Science Network) is developing a 100 Gbps backbone based on this state-of-the-art 100 Gigabit Ethernet standard. ESnet will serve thousands of DOE and non-DOE scientists with its high bandwidth backbone, and connect several national laboratories. Current Ethernet test and debug solutions, such as network traffic capturer/analyzer tools, support up to 10 Gbps speed, and the very few capable of handling 100 Gbps are extremely costly. Such tools are essential in the development of high speed devices and routers, and ultimately the success of 100 Gigabit Ethernet.

  8. Operations Research and the Captivating Study of Networks

    E-Print Network [OSTI]

    Nagurney, Anna

    Paradox and Evolutionary Variational Inequalities A New Network Performance/Efficiency Measure;Subway Network Railroad Network Iridium Satellite Constellation Network Satellite and Undersea Cable Networks Duke Energy Gas Pipeline Network Transportation, Communication, and Energy Networks #12;Components

  9. Operations Research and the Captivating Study of Networks

    E-Print Network [OSTI]

    Nagurney, Anna

    Variational Inequalities A New Network Performance/Efficiency Measure with Applications to Critical;Subway Network Railroad Network Iridium Satellite Constellation Network Satellite and Undersea Cable Networks Duke Energy Gas Pipeline Network Transportation, Communication, and Energy Networks #12;Components

  10. SYNTHESIS LECTURES ON COMMUNICATION NETWORKS

    E-Print Network [OSTI]

    Huang, Jianwei

    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

  11. Mesoscale Analyses of Fungal Networks

    E-Print Network [OSTI]

    Lee, Sang Hoon; Porter, Mason A

    2014-01-01T23:59:59.000Z

    We give a brief application of mesoscopic response functions (MRFs) to a large set of networks of fungi and slime moulds. We construct "structural networks" by estimating cord conductances (which yield edge weights) from experimental data and "functional networks" by calculating edge weights based on how much nutrient traffic is predicted to occur on each edge. Both types of networks have the same topology, and we compute MRFs for both families of networks to illustrate two different ways of constructing taxonomies to compare large sets of fungal and slime-mould networks to each other. We demonstrate that network taxonomies allow objective groupings of networks across species, treatments, and laboratories. We believe that the groupings that we have derived through our structural and functional taxonomic analyses of fungal networks could be of considerable assistance to biologists in their attempts to capture the impact of treatment combinations on network behaviour.

  12. Optical Network Testbeds Workshop

    SciTech Connect (OSTI)

    Joe Mambretti

    2007-06-01T23:59:59.000Z

    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.

  13. A quantum access network

    E-Print Network [OSTI]

    Bernd Frhlich; James F. Dynes; Marco Lucamarini; Andrew W. Sharpe; Zhiliang Yuan; Andrew J. Shields

    2014-09-02T23:59:59.000Z

    The theoretically proven security of quantum key distribution (QKD) could revolutionise how information exchange is protected in the future. Several field tests of QKD have proven it to be a reliable technology for cryptographic key exchange and have demonstrated nodal networks of point-to-point links. However, so far no convincing answer has been given to the question of how to extend the scope of QKD beyond niche applications in dedicated high security networks. Here we show that adopting simple and cost-effective telecommunication technologies to form a quantum access network can greatly expand the number of users in quantum networks and therefore vastly broaden their appeal. We are able to demonstrate that a high-speed single-photon detector positioned at a network node can be shared between up to 64 users for exchanging secret keys with the node, thereby significantly reducing the hardware requirements for each user added to the network. This point-to-multipoint architecture removes one of the main obstacles restricting the widespread application of QKD. It presents a viable method for realising multi-user QKD networks with resource efficiency and brings QKD closer to becoming the first widespread technology based on quantum physics.

  14. Vehicle Technologies Office: National Idling Reduction Network...

    Office of Environmental Management (EM)

    Idling Reduction Network News Archives Vehicle Technologies Office: National Idling Reduction Network News Archives The National Idling Reduction Network brings together trucking...

  15. Reverse Engineering User Behaviors From Network Traffic

    E-Print Network [OSTI]

    Xie, Guowu

    2013-01-01T23:59:59.000Z

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

  16. Wireless Sensor Networks for Home Health Care

    E-Print Network [OSTI]

    2007-01-01T23:59:59.000Z

    Wireless Sensor Networks for Home Health Care Chris R.Cooperation between wireless sensor networks and existingapplications of wireless sensor networks. In this paper we

  17. Special Issue on Wireless Sensor Networks

    E-Print Network [OSTI]

    Yao, Kung; Zhang, Qian; Zhao, Qing

    2009-01-01T23:59:59.000Z

    Special Issue on Wireless Sensor Networks Kung Yao & Qianand tracking, etc. Wireless sensor networks utilize theaspects of wireless sensor networks. The first paper,

  18. Data Transport Control in Wireless Sensor Networks

    E-Print Network [OSTI]

    Zhang, Hongwei; Naik, Vinayak S

    2008-01-01T23:59:59.000Z

    Congestion in Wireless Sensor Networks. ACM SenSys SandeepJohn Anderson (2002). Wireless Sensor Networks for HabitatWorkshop on Wireless Sensor Networks and Applications Miklos

  19. Better Buildings Residential Network Case Study: Partnerships...

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

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

  20. 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...

  1. Thermal network reduction

    SciTech Connect (OSTI)

    Balcomb, J.D.

    1983-06-01T23:59:59.000Z

    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.

  2. Thermal network reduction

    SciTech Connect (OSTI)

    Balcomb, J.D.

    1983-01-01T23:59:59.000Z

    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.

  3. Control over Wireless NetworksControl over Wireless Networks Karl Henrik Johansson

    E-Print Network [OSTI]

    Johansson, Karl Henrik

    Control over Wireless NetworksControl over Wireless Networks Karl Henrik Johansson School wireless networksOutline: Control over wireless networks Motivating examples Benefits and barriersMotivation for control over wireless networkscontrol over wireless networks Wireless industrial automation

  4. The expandable network disk

    E-Print Network [OSTI]

    Muthitacharoen, Athicha, 1976-

    2008-01-01T23:59:59.000Z

    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 ...

  5. ENVIRONMENTAL LAW NETWORK

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    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

  6. Search using social networks

    E-Print Network [OSTI]

    Ammar, Ammar (Ammar T.)

    2010-01-01T23:59:59.000Z

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

  7. Covert Communication Networks

    E-Print Network [OSTI]

    Nix, Timothy Glen

    2013-08-02T23:59:59.000Z

    of participation in the network to both other members of the group and external eavesdroppers, and finally on resilience against disconnection. In this dissertation, we describe the challenges and requirements for such a system. We consider the topologies...

  8. Causal networks in EIA

    SciTech Connect (OSTI)

    Perdicoulis, Anastassios [Departamento de Engenharia Biologica e Ambiental, Universidade de Tras-os-Montes e Alto Douro, Apartado 1013, 5001-801 Vila Real (Portugal)]. E-mail: tasso@utad.pt; Glasson, John [Oxford Brookes University, Oxford Institute for Sustainable Development, School of the Built Environment, Headington Campus, Gipsy Lane, Oxford OX3 0BP (United Kingdom)]. E-mail: jglasson@brookes.ac.uk

    2006-08-15T23:59:59.000Z

    Causal networks have been used in Environmental Impact Assessment (EIA) since its early days, but they appear to have a minimal use in modern practice. This article reviews the typology of causal networks in EIA as well as in other academic and professional fields, verifies their contribution to EIA against the principles and requirements of the process, and discusses alternative scenarios for their future in EIA.

  9. Network line plotting

    E-Print Network [OSTI]

    Pry, William Freeman

    1967-01-01T23:59:59.000Z

    has been described correctly. When the network has been determined to be "clean", oz free of error, several minimum path trees are built (test trees) and checked. Test trees are examined to insure that lirk hnpedances and distances are correct... and that the minimum paths have been correctly calculated. Having insured that the test trees are clean, the trees for all zones are built, the network loaded with the desired tzip volumes, and the resulting loaded netv. orl- analyzed. While the calculated results...

  10. Optimization in Networks

    E-Print Network [OSTI]

    Adilson E. Motter; Zoltan Toroczkai

    2007-07-07T23:59:59.000Z

    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.

  11. 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

  12. Cooperative Diversity Routing in Wireless Networks

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    Cooperative Diversity Routing in Wireless Networks Mostafa Dehghan and Majid Ghaderi Department routing, cooperative commu- nication, cooperative diversity, wireless networks. I. INTRODUCTION Energy efficiency is a challenging problem in wireless networks, especially in ad hoc and sensor networks, where

  13. Collaborative Firewalling in Wireless Networks Mahmoud Taghizadeh

    E-Print Network [OSTI]

    Liu, Alex X.

    Collaborative Firewalling in Wireless Networks Mahmoud Taghizadeh Department of ECE Michigan State elements to enforce access policies in computer networks. Open network architecture, shared wireless medium for wireless networks in which nodes collaboratively perform packet filtering to address resource squandering

  14. Wireless sensor networks for measuring traffic

    E-Print Network [OSTI]

    Varaiya, Pravin

    Wireless sensor networks for measuring traffic University of California, Berkeley Sing Yiu Cheung, Sinem Coleri, and Pravin Varaiya 2 Outline Traffic measurement Wireless Sensor Networks Vehicle wireless sensor networks compete? 7 Outline Traffic measurement Wireless Sensor Networks Vehicle

  15. Foundations of Artificial Intelligence Neural Networks

    E-Print Network [OSTI]

    Qu, Rong

    Foundations of Artificial Intelligence Neural Networks Building Artificial Brains #12;Background Session 2 Software Demonstrations Real World Applications #12;Artificial Neural Networks ... consists to operate. Wiki #12;Relationship between Artificial Neural Networks & the Human Brain Neural networks

  16. Semantic Social Network Analysis, a concrete case

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    Semantic Social Network Analysis, a concrete case Guillaume Erto, Orange Labs, guillaume permitting a high degree of interaction between participants, and social network analysis (SNA) seeks) shared by the members of these networks. These enriched representations of social networks, combined

  17. 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...

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

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

    understand processes such as electron transfer, metal penetration through organic spacer, hydrogen dissociation on nano-cluster array, electronic, transport, and mechanical...

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

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

    Cheng Project Title Principal Investigator Hai-Ping Cheng Participating Organizations University of Florida Funding Agencies DOE SC DOE NSA NSF NOAA NIH Other: 2. Project...

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

    SciTech Connect (OSTI)

    Not Available

    1990-03-01T23:59:59.000Z

    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)

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

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

    to reach in 5 years. The overall goal of this project is to understand the electronic structures and optical properties of nanosystems, to help the use of these systems in...

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

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

    Combustion of 21st Century Transportation Fuels Presentation given at the 2007 Diesel Engine-Efficiency & Emissions Research Conference (DEER 2007). 13-16 August, 2007,...

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

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

    Basic Energy Sciences Basic Energy Sciences DOEEERE Hydrogen Storage Pre-Solicitation Meeting, June 19, 2003 Report on Hydrogen Storage Panel Findings in Report on Hydrogen...

  4. Microsoft Word - FinalReport_2014_Henderson_DOE-BES_DE-SC0002169.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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHighandSWPA / SPRA / USACE SWPAURTeC:8CO6 Figure 1.Henderson - North

  5. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron4 Self-Scrubbing:,,of Science (SC) BESAC Home Basic

  6. Sandia Energy - BES Web Highlight: Single-mode gallium nitride nanowire

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiation Protection245C Unlimited ReleaseWelcome ton6Andy

  7. Archives of BES CRAs April 2003 | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041cloth DocumentationProductsAlternativeOperational Management » HistoryAugust 1,weekly estimates03

  8. Archives of BES CRAs April 2010 | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041cloth DocumentationProductsAlternativeOperational Management » HistoryAugust 1,weekly estimates0310

  9. Archives of BES CRAs February 2002 | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041cloth DocumentationProductsAlternativeOperational Management » HistoryAugust 1,weekly

  10. Archives of BES CRAs June 2008 | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041cloth DocumentationProductsAlternativeOperational Management » HistoryAugust 1,weeklyJune 2008

  11. Archives of BES CRAs May 2006 | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041cloth DocumentationProductsAlternativeOperational Management » HistoryAugust 1,weeklyJune 2008May

  12. Archives of BES CRAs October 2004 | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041cloth DocumentationProductsAlternativeOperational Management » HistoryAugust 1,weeklyJune

  13. BES Committees of Visitors | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041cloth DocumentationProductsAlternativeOperationalAugust NazimBudget Basic Energy Sciences

  14. BES Committees of Visitors | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041cloth DocumentationProductsAlternativeOperationalAugust NazimBudget Basic Energy SciencesBESBES

  15. BES and Congress | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041cloth DocumentationProductsAlternativeOperationalAugust NazimBudget Basic Energy SciencesBESBESBES

  16. 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 DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of No Significant6-2002 October5-992-2013,ofProprietary

  17. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron4(SC)PrincipalStaffTheofanisApplication1 AdvancedMinutes

  18. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurTheBrookhaven National Laboratory LaboratoryMaterials for1980-1999 | U.S. DOE

  19. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurTheBrookhaven NationalRegionals » High School(SC) The birth of theWhat

  20. 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 DataDepartment of Energy Your Density Isn'tOrigin ofEnergy at Waste-to-Energy using Fues Cells Webinar,VerizonCommitteeServiceJune

  1. atm networks pc: Topics by E-print Network

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

    ATM networks at the cell level. Owing to its object Gburzynski, Pawel 18 PMS: a PVC Management System for ATM Networks CiteSeer Summary: . Reported in this paper is the...

  2. 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...

  3. Building a Network Simulation Model of the Teragrid Network

    E-Print Network [OSTI]

    Jiang, Wen

    Building a Network Simulation Model of the Teragrid Network Thomas Hacker Preston Smith* Computer are building largescale cyberinfrastructure systems, which couple computing, storage, data publishing is increasingly powered by simulation and analysis that combines high performance computers

  4. adaptive dynamic networks: Topics by E-print Network

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

    12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Epidemic dynamics on an adaptive network Condensed Matter (arXiv) Summary: Many real world networks are...

  5. Introduction to Network Analysis 1 Introduction to Network Analysis

    E-Print Network [OSTI]

    Safro, Ilya

    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

  6. area network system: Topics by E-print Network

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

    of the experiment. The network management system is implemented based on a commercial SCADA system (PVSS II). We show here how a large scale network can be monitored and...

  7. Flexible application driven network striping over Wireless Wide Area Networks

    E-Print Network [OSTI]

    Qureshi, Asfandyar

    2005-01-01T23:59:59.000Z

    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 ...

  8. Advanced Queueing Theory Networks of queues

    E-Print Network [OSTI]

    Boucherie, Richard J.

    , partial balance, product-form distribution, blocking, insensitivity, BCMP networks, mean-value analysis equations Closed network: Open network: #12;9closed network : equilibrium distribution Theorem: The equilibrium distribution for the closed Jackson network containing N jobs is Proof #12;10closed network

  9. Vulnerability Analysis of Complex Networks from Transportation Networks to

    E-Print Network [OSTI]

    Nagurney, Anna

    and Electric Power Supply Chains Anna Nagurney John F. Smith Memorial Professor Department of Finance to Dynamic Networks Where Are We Now? An Empirical Case Study to Real-World Electric Power Supply ChainsVulnerability Analysis of Complex Networks from Transportation Networks to the Internet

  10. Towards Data-Driven Declarative Networking in Delay Tolerant Networks

    E-Print Network [OSTI]

    Tucci, Sara

    .lastname}@cl.cam.ac.uk ABSTRACT A Delay Tolerant Network (DTN) provides content storage as a core network service across The Internet has transformed the way we seek information, but it requires strong connectivity with no tolerance are sparsely distributed so that networks are often partitioned due to geographical separation or node movement

  11. Critical Infrastructure Networks and Supernetworks: New Tools for Dynamics,

    E-Print Network [OSTI]

    Nagurney, Anna

    Critical Infrastructure Networks and Supernetworks: New Tools for Dynamics, Network Efficiency Variational Inequalities A New Network Performance/Efficiency Measure with Applications to Critical, Communication, and Energy Networks #12;Components of Common Physical Networks Network System Nodes Links Flows

  12. 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

  13. Video transmission over wireless networks

    E-Print Network [OSTI]

    Zhao, Shengjie

    2005-08-29T23:59:59.000Z

    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...

  14. Video transmission over wireless networks

    E-Print Network [OSTI]

    Zhao, Shengjie

    2005-08-29T23:59:59.000Z

    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...

  15. Designing Flexible Heat Exchanger Networks

    E-Print Network [OSTI]

    Gautam, R.; Chen, H. S.; Wareck, J. S.

    Procedures and methods used for designing flexible heat exchanger networks are described. The general approach consists of defining the flexibility problem as a set of cases. Pinch Technology is then used to develop an initial network design...

  16. DISTRIBUTED SHORTESTPATH PROTOCOLS TIMEDEPENDENT NETWORKS

    E-Print Network [OSTI]

    Orda, Ariel

    DISTRIBUTED SHORTESTPATH PROTOCOLS for TIMEDEPENDENT NETWORKS Ariel Orda Raphael Rom+ Department and the dynamic behavior of networks, since a distributed solution enables constant tracking of changes 32000 October 1992 Revised May 1994, October 1995 ABSTRACT This paper addresses algorithms for networks

  17. 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

  18. Relational Dynamic Bayesian Networks

    E-Print Network [OSTI]

    Domingos, P; Weld, D; 10.1613/jair.1625

    2011-01-01T23:59:59.000Z

    Stochastic processes that involve the creation of objects and relations over time are widespread, but relatively poorly studied. For example, accurate fault diagnosis in factory assembly processes requires inferring the probabilities of erroneous assembly operations, but doing this efficiently and accurately is difficult. Modeled as dynamic Bayesian networks, these processes have discrete variables with very large domains and extremely high dimensionality. In this paper, we introduce relational dynamic Bayesian networks (RDBNs), which are an extension of dynamic Bayesian networks (DBNs) to first-order logic. RDBNs are a generalization of dynamic probabilistic relational models (DPRMs), which we had proposed in our previous work to model dynamic uncertain domains. We first extend the Rao-Blackwellised particle filtering described in our earlier work to RDBNs. Next, we lift the assumptions associated with Rao-Blackwellization in RDBNs and propose two new forms of particle filtering. The first one uses abstracti...

  19. Synchronization in complex networks

    SciTech Connect (OSTI)

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

    2007-12-12T23:59:59.000Z

    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.

  20. aco-bp 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 87 Fuzzy neural network pattern recognition algorithm for classification of the events in...

  1. Valley Entrepreneurs' Network (VEN) Monthly Network Meeting

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsing Maps toValidatingCloudPoissonVEN Monthly Network

  2. Data Network Equipment Energy Use and Savings Potential in Buildings

    E-Print Network [OSTI]

    Lanzisera, Steven

    2010-01-01T23:59:59.000Z

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

  3. Cubic-based 3-D Localization for Wireless Sensor Networks

    E-Print Network [OSTI]

    Shwe, Hnin Yu; Chong, Peter HJ

    2013-01-01T23:59:59.000Z

    Scheme in Stereo Wireless Sensor Networks, in Advances infor mobile wireless sensor networks," Ad Hoc Networks, vol.and B. D. O. Anderson, "Wireless sensor network localization

  4. TKN Telecommunication Networks Group

    E-Print Network [OSTI]

    Wichmann, Felix

    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

  5. Microsystem process networks

    DOE Patents [OSTI]

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

    2007-09-18T23:59:59.000Z

    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.

  6. Microsystem process networks

    DOE Patents [OSTI]

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

    2006-10-24T23:59:59.000Z

    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.

  7. Microsystem process networks

    DOE Patents [OSTI]

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

    2010-01-26T23:59:59.000Z

    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.

  8. Caching in wireless networks

    E-Print Network [OSTI]

    Niesen, Urs

    We consider the problem of delivering content cached in a wireless network of n nodes randomly located on a square of area n. In the most general form, this can be analyzed by considering the 2[superscript n] timesn-dimensional ...

  9. Sensor Networks and Consensus

    E-Print Network [OSTI]

    Schenato, Luca

    3 Dic 2009 1/32 Sensor Networks and Consensus An application: Localization and Tracking Distributed Sensors Calibration Randomized Kalman Filter Distributed Kalman Smoother Simone Del Favero PhD Thesis: Localization and Tracking Distributed Sensors Calibration Randomized Kalman Filter Distributed Kalman Smoother

  10. 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

  11. Lattice Gauge Tensor Networks

    E-Print Network [OSTI]

    Pietro Silvi; Enrique Rico; Tommaso Calarco; Simone Montangero

    2014-10-12T23:59:59.000Z

    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.

  12. TKN Telecommunication Networks Group

    E-Print Network [OSTI]

    Wichmann, Felix

    consumption. Quite some effort has already been undertaken to address this issue, striving for low-energy trends in the power consumption, the NICs and APs are classified according to the following aspects Group Power consumption of WLAN network elements Salvatore Chiaravalloti, Filip Idzikowski, Lukasz

  13. Transactional Network Platform: Applications

    SciTech Connect (OSTI)

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

    2013-10-31T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Nagurney, Anna

    and Complex Networks A New Network Performance/Efficiency Measure with Applications to Network Systems- Dependent (Demand-Varying) Braess Paradox Extension of the Efficiency Measure to Dynamic Networks Telecommunications Energy Supply Chains Interregional Trade Industrial Organization Location Theory Spatial

  15. Maximum Network Lifetime in Wireless Sensor Networks with Adjustable Sensing Ranges

    E-Print Network [OSTI]

    Wu, Jie

    1 Maximum Network Lifetime in Wireless Sensor Networks with Adjustable Sensing Ranges Mihaela problem in wireless sensor networks with adjustable sensing range. Communication and sensing consume Wireless sensor networks (WSNs) constitute the foundation of a broad range of applications related

  16. E-Print Network 3.0 - automated network analysis Sample Search...

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

    automation, which resulted in better performance. Conclusion: In decentralized unmanned vehicle networks... , decentralized network, automation ... Source: Cummings, Mary "Missy"...

  17. An Efficiency Measure for Dynamic Networks with

    E-Print Network [OSTI]

    Nagurney, Anna

    networks with time-varying traffics. "... traffic over the Internet doubling every 100 days..." (Frances of Other Dynamic Networks Oil & Natural gas network Electricity generation and distributionElectricity generation and distribution network Supply chain network #12;Varying Demand in Global OilVarying Demand

  18. Power Control in Wireless Cellular Networks

    E-Print Network [OSTI]

    Chiang, Mung

    Power Control in Wireless Cellular Networks #12;#12;Power Control in Wireless Cellular Networks R in Networking sample Vol. x, No y (2008) 1156 c 2008 Power Control in Wireless Cellular Networks, and connectivity. Power control in both uplink and downlink of a cellular network has been extensively studied

  19. Optimal Deployment of Large Wireless Sensor Networks

    E-Print Network [OSTI]

    Toumpis, Stavros

    1 Optimal Deployment of Large Wireless Sensor Networks S. Toumpis, Member, IEEE, and Leandros, Sensor networks. I. INTRODUCTION A. Wireless Sensor Networks Wireless sensor networks are comprised of sensors that are equipped with wireless transceivers and so are able to form a wireless network [3

  20. Transportation Networks and Location A Geometric Approach

    E-Print Network [OSTI]

    Palop del Río, Belén

    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

  1. Chapter 10 Mining Social-Network

    E-Print Network [OSTI]

    Ullman, Jeffrey D.

    340 #12;Chapter 10 Mining Social-Network Graphs There is much information to be gained by analyzing the large-scale data that is derived from social networks. The best-known example of a social network such networks. An important question about a social network is how to identify "communities," that is, subsets

  2. Chapter 10 Mining Social-Network

    E-Print Network [OSTI]

    Davis, James E.

    340 #12;Chapter 10 Mining Social-Network Graphs There is much information to be gained by analyzing the large-scale data that is derived from social networks. The best-known example of a social network such networks. An important question about a social network is to identify "communities," that is, subsets

  3. Link Loss Inference in Wireless Sensor Networks with Randomized Network Coding

    E-Print Network [OSTI]

    Wong, Vincent

    Link Loss Inference in Wireless Sensor Networks with Randomized Network Coding Vahid Shah that randomized network coding can improve the reliability of wireless sensor networks with lossy links. With network coding, the loss rate of a chosen path in a wireless sensor network is the maximum link loss rate

  4. Near Optimal Broadcast with Network Coding in Large Homogeneous Wireless Sensor Networks

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    Near Optimal Broadcast with Network Coding in Large Homogeneous Wireless Sensor Networks C of wireless "homogeneous" sensor networks contained of the plane: wireless lattice networks, and dense unit of application is wireless sensor net- works, and indeed network coding has been used in wireless networks

  5. Privacy-enhanced social network routing in opportunistic networks Iain Parris, Greg Bigwood and Tristan Henderson

    E-Print Network [OSTI]

    Henderson, Tristan

    Privacy-enhanced social network routing in opportunistic networks Iain Parris, Greg Bigwood. Forwarding messages in such a network often involves the use of social network routing-- sending messages via nodes in the sender or recipient's social network. Simple social network routing, however, may broadcast

  6. Are all Social Networks Structurally Similar? A Comparative Study using Network Statistics and

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    Are all Social Networks Structurally Similar? A Comparative Study using Network Statistics--The modern age has seen an exponential growth of social network data available on the web. Analysis social networks and how they are different from other networks such as protein interaction networks

  7. Scalable Opportunistic Forwarding Algorithms in Delay Tolerant Networks using Similarity Hashing

    E-Print Network [OSTI]

    Wu, Jie

    networks [5], deep space satellite networks, underwater acoustic buoy networks, and many dedicated networks are typically power- constrained

  8. advocates network wepan: Topics by E-print Network

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

    characteristics because the nodes that contribute to the least-time consumption of free energy preferably attach to each other. Network evolution is a path-dependent and...

  9. area networks deployment: Topics by E-print Network

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

    networks of such autonomous solar robots is provided. Index Terms Mobile Robot, Solar Power, Antarctica. I. Laura Ray; Er Price; Er Streeter; Daniel Denton; James H. Lever 138...

  10. analytic network process: Topics by E-print Network

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

    Romualdo; Van Mieghem, Piet; Vespignani, Alessandro 2014-01-01 14 Dataflow Process Networks CiteSeer Summary: We review a model of computation used in industrial...

  11. amp signaling networks: Topics by E-print Network

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

    transduction networks are commonly viewed as circuits that pass along informationin the process amplifying signals, enhancing sensitivity, or performing other signal-processing...

  12. area networking infrastructure: Topics by E-print Network

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

    in scientific terms, our problem can systems problem including interconnected SCADAembedded networks, corporate intranets, and Internet Neves, Nuno 374 Adapting cities...

  13. alternative splicing networks: Topics by E-print Network

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

    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...

  14. 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...

  15. 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...

  16. 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...

  17. 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...

  18. 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:...

  19. autonomous vehicular networks: Topics by E-print Network

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

    W. Tobaben , Sanath Yekollu , and Hareesh Kolpuru Electrical and Computer Engineering Raytheon Program 1. INTRODUCTION The objective of the Autonomous Networked Tactical Sentries...

  20. autonomous island networks: Topics by E-print Network

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

    W. Tobaben , Sanath Yekollu , and Hareesh Kolpuru Electrical and Computer Engineering Raytheon Program 1. INTRODUCTION The objective of the Autonomous Networked Tactical Sentries...

  1. 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...

  2. 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...

  3. 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...

  4. 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...

  5. 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...

  6. 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...

  7. air monitoring network: Topics by E-print Network

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

    Websites Summary: Monitor Network Pulse Oximeter: Measures blood oxygen levels and pulse Accelerometer: Measures motion measures cardiac activity (ECG), oxygen saturation,...

  8. Ourmon and Network Monitoring Performance James R. Binkley Bart Massey

    E-Print Network [OSTI]

    Massey, Bart

    at Portland State University. Ourmon monitors a target network both to highlight ab- normal network traffic

  9. Behavior Profiling and Analysis in Wireless Home Networks

    E-Print Network [OSTI]

    Zhang, Junshan

    system for wireless home networks. builds a baseline profile for each computer within the home network

  10. Modular sensor network node

    DOE Patents [OSTI]

    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

    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.

  11. Self-Aware Networks and QoS Erol Gelenbe, Fellow IEEE, Ricardo Lent, Arturo Nunez

    E-Print Network [OSTI]

    Gelenbe, Erol

    and services. Examples include Enterprise Networks, Home Networks (Domotics), Sensor Net- works, Networks

  12. Building Computer Network Attacks

    E-Print Network [OSTI]

    Futoransky, Ariel; Richarte, Gerardo; Sarraute, Carlos

    2010-01-01T23:59:59.000Z

    In this work we start walking the path to a new perspective for viewing cyberwarfare scenarios, by introducing conceptual tools (a formal model) to evaluate the costs of an attack, to describe the theater of operations, targets, missions, actions, plans and assets involved in cyberwarfare attacks. We also describe two applications of this model: autonomous planning leading to automated penetration tests, and attack simulations, allowing a system administrator to evaluate the vulnerabilities of his network.

  13. Network Performance MONASH UNIVERSITY

    E-Print Network [OSTI]

    Sekercioglu, Y. Ahmet

    "&" at the end of a command line tells to the shell command line interpreter to run the command in back- ground with the Emacs2 text editor: emacs Makefile &3. 5. Type these lines into the Makefile: 1 hworld: hworld.c 2 . netperf-lab-warmup.tex,v1.6 (teaching/digicomm) 1 #12;Network Performance 7. Type the lines of the C

  14. HYBRID MODELING OF COMMUNICATION NETWORKS USING MODELICA

    E-Print Network [OSTI]

    Johansson, Karl Henrik

    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

  15. Dynamic Networks: Recent Results and Applications

    E-Print Network [OSTI]

    Nagurney, Anna

    . #12;Duke Energy Gas Pipeline Network #12;Components of Common Physical Networks Network System Nodes, Railroad Track Automobiles, Trains, and Planes, Manufacturing and logistics Workstations, Distribution Exchanges Fiber Optic Cables Radio Links Voice, Data, Video Energy Pumping Stations, Plants Pipelines

  16. Multiple Scales in Small-World Networks

    E-Print Network [OSTI]

    Kasturirangan, Rajesh

    1999-08-11T23:59:59.000Z

    Small-world architectures may be implicated in a range of phenomena from networks of neurons in the cerebral cortex to social networks and propogation of viruses. Small-world networks are interpolations of regular and ...

  17. Aircraft System Identification Using Artificial Neural Networks

    E-Print Network [OSTI]

    Valasek, John

    Aircraft System Identification Using Artificial Neural Networks Kenton Kirkpatrick Jim May Jr. John Meeting January 9, 2013 Compos Volatus #12;Overview Motivation System Identification Artificial Neural Networks 2 Artificial Neural Networks ANNSID Conclusions and Open Challenges #12;Motivation 3 #12

  18. Context-aware computing for wireless networks

    E-Print Network [OSTI]

    Ergt, Salih

    2010-01-01T23:59:59.000Z

    Packet Delay in Wireless Networks 2 Client Side Active QueueCellular and Sensor Networks Wireless Positioning Overviewin Mobile, Ad Hoc and Wireless Networks, pages 110, 2006. [

  19. Software Defined Wireless Networks: Unbridling SDNs

    E-Print Network [OSTI]

    Perkins, Dmitri

    Software Defined Wireless Networks: Unbridling SDNs Salvatore Costanzo, Laura Galluccio, Giacomo at analyzing how SDN can be beneficial in wireless infrastructureless networking environments with special emphasis on wireless personal area networks (WPAN). Furthermore, a possible approach (called SDWN

  20. Characterizing User Mobility in Wireless Networks

    E-Print Network [OSTI]

    Nunes, Bruno Astuto Arouche

    2012-01-01T23:59:59.000Z

    Symmetry of User Mobility in Wireless Networks 3.1 MobilityAnalysis of a local-area wireless network. In ACM MOBI- COMand evaluation of wireless networks and their protocols.

  1. Evolution and statistics of biological regulatory networks

    E-Print Network [OSTI]

    Chandalia, Juhi Kiran, 1979-

    2005-01-01T23:59:59.000Z

    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 ...

  2. Wireless Sensor Network Infrastructure : Construction and Evaluation

    E-Print Network [OSTI]

    Boyer, Edmond

    Wireless Sensor Network Infrastructure : Construction and Evaluation Kamal Beydoun, Violeta Felea main features for efficient energy management in wireless sensor networks. This paper aims to present a distributed and low-cost topology construction algorithm for wireless sensor networks, addressing

  3. Evolutionary approaches toward practical network coding

    E-Print Network [OSTI]

    Kim, Minkyu, 1976-

    2008-01-01T23:59:59.000Z

    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 ...

  4. Improving performance of TCP over wireless networks

    E-Print Network [OSTI]

    Mehta, Miten N.

    1998-01-01T23:59:59.000Z

    TCP has been designed and tuned to perform well on a phics. wired network made up of links with low bit-error rates. Wireless networks and heterogeneous networks consisting of wired and wireless links have many different characteristics compared...

  5. A VALIDATION INDEX FOR ARTIFICIAL NEURAL NETWORKS

    E-Print Network [OSTI]

    Roberts, Stephen

    A VALIDATION INDEX FOR ARTIFICIAL NEURAL NETWORKS Stephen Roberts, Lionel Tarassenko, James Pardey and estimation properties of artificial neural networks. Like many `traditional' statistical techniques & David Siegwart Neural Network Research Group Department of Engineering Science University of Oxford, UK

  6. Online Social Networks and People's Psychology

    E-Print Network [OSTI]

    Hoang, Hai

    2013-01-01T23:59:59.000Z

    102-139. Online Social Networks and Peoples Psychology III.and Table 4). Online Social Networks and Peoples PsychologyOnline Social Networks and Peoples Psychology Bibliography

  7. Monotonic Target Assignment for Robotic Networks

    E-Print Network [OSTI]

    Smith, Stephen L; Bullo, Francesco

    2009-01-01T23:59:59.000Z

    Target assignment for robotic networks: Worst-case andTARGET ASSIGNMENT FOR ROBOTIC NETWORKS [6] H. W. Kuhn, TheTarget Assignment for Robotic Networks Stephen L. Smith,

  8. Towards the Science of Network Measurement

    E-Print Network [OSTI]

    Chang, Rocky Kow-Chuen

    Towards the Science of Network Measurement Rocky K. C. Chang The Internet Infrastructure and Security Laboratory November 20, 2012 #12;Network measurement problems Topology characterization ... 2 #12;Why measuring network path? Performancemetrics Latency Delay variation (jitter) Connectivity

  9. Asymptotics of Relativistic Spin Networks

    E-Print Network [OSTI]

    John W Barrett; Christopher M Steele

    2003-01-31T23:59:59.000Z

    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.

  10. Insecurity of Wireless Networks

    SciTech Connect (OSTI)

    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

    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.

  11. Mobileflow: Applying SDN to Mobility in Wireless Networks

    E-Print Network [OSTI]

    Al-Shaikhli, Raghdah

    2014-08-10T23:59:59.000Z

    , there are two dominant technologies for providing wireless network access: cellular broadband networks and wireless local area networks (Wi-Fi). Cellular networks offer ubiquitous coverage, high reliability, and support mobility; yet such networks require...

  12. Distributed Broadcasting and Mapping Protocols in Directed Anonymous Networks

    E-Print Network [OSTI]

    Bruck, Jehoshua (Shuki)

    Distributed Broadcasting and Mapping Protocols in Directed Anonymous Networks Michael Langberg is to create distributed protocols that reduce the uncertainty by distributing the knowledge of the network anonymous networks. Keywords: Anonymous networks, directed networks, distributed protocols. 1 Introduction

  13. Collective dynamics in sparse networks

    E-Print Network [OSTI]

    Stefano Luccioli; Simona Olmi; Antonio Politi; Alessandro Torcini

    2012-08-03T23:59:59.000Z

    The microscopic and macroscopic dynamics of random networks is investigated in the strong-dilution limit (i.e. for sparse networks). By simulating chaotic maps, Stuart-Landau oscillators, and leaky integrate-and-fire neurons, we show that a finite connectivity (of the order of a few tens) is able to sustain a nontrivial collective dynamics even in the thermodynamic limit. Although the network structure implies a non-additive dynamics, the microscopic evolution is extensive (i.e. the number of active degrees of freedom is proportional to the number of network elements).

  14. Imprinted Networks as Chiral Pumps

    E-Print Network [OSTI]

    Y. Mao; M. Warner

    2001-01-12T23:59:59.000Z

    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.

  15. Fusion Energy Sciences Network Requirements

    E-Print Network [OSTI]

    Dart, Eli

    2014-01-01T23:59:59.000Z

    Division, and the Office of Fusion Energy Sciences. This isFusion Energy Sciences NetworkRequirements Office of Fusion Energy Sciences Energy

  16. Selfish Routing in Capacitated Networks

    E-Print Network [OSTI]

    Correa, Jose R.

    2003-08-01T23:59:59.000Z

    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 ...

  17. Helper's Network Gazette November 1994

    E-Print Network [OSTI]

    1994-01-01T23:59:59.000Z

    all current members are included, the prize being a beautiful etched glass mug with a Beth Blighton head of Vincent on one side and the B&B logo on the other. If you're in doubt when you're due to renew, look at your certificate to see when you joined... including all Helpers' Network has to offer: The Helpers' Network Gazette (a monthly newsletter); The Helpers' Network Quality Fanzine Review ("Q-fer"); audio and video tapes; and T-shirts and totebags with the Helpers' Network logo. Those who join or renew...

  18. Power network analysis and optimization

    E-Print Network [OSTI]

    Zhang, Wanping

    2009-01-01T23:59:59.000Z

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

  19. CONVERGENT NETWORK APPROXIMATION FOR THE ...

    E-Print Network [OSTI]

    2007-09-12T23:59:59.000Z

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

  20. Communication in Home Area Networks

    E-Print Network [OSTI]

    Wang, Yubo

    2012-01-01T23:59:59.000Z

    and implementation of smart home energy management systemsStandard Technologies for Smart Home Area Networks EnablingInteroperability framework for smart home systems, Consumer

  1. 2013 Alumni Network Award Winners

    E-Print Network [OSTI]

    Spence, Harlan Ernest

    interests. #12;WinterSpring 2014 BOSTONIA , . March 19, 2014 An Evening with Digital2013 Alumni Network Award Winners Are Announced Alumni volunteers around the globe are recognized

  2. 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...

  3. Progress of the Engine Combustion Network

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

    the Progress of the Engine Combustion Network Engine Combustion Network Lyle M. Pickett Sandia National Laboratories Sponsor: DOE Office of Vehicle Technologies Program Manager:...

  4. Ultraviolet Communication Network Modeling and Analysis

    E-Print Network [OSTI]

    Wang, Leijie

    2011-01-01T23:59:59.000Z

    systems for unattended ground sensor networks. In Proc.link for unattended ground sensors. In Proc. SPIE, volumeenvironment sensing, unattended ground sensor networks, and

  5. Calibrating Artificial Neural Networks by Global Optimization

    E-Print Network [OSTI]

    Janos D. Pinter

    2010-07-21T23:59:59.000Z

    Jul 21, 2010 ... Abstract: An artificial neural network (ANN) is a computational model ... emulating the key features and operations of biological neural networks.

  6. Peak Oil Awareness Network | Open Energy Information

    Open Energy Info (EERE)

    Awareness Network Jump to: navigation, search Name: Peak Oil Awareness Network Place: Crested Butte, Colorado Zip: 81224 Website: http:www.PeakOilAwarenessNet Coordinates:...

  7. Better Buildings Residential Network Membership Form | Department...

    Energy Savers [EERE]

    Membership Form Better Buildings Residential Network Membership Form Membership form from the U.S. Department of Energy's Better Buildings Residential Network Recommended...

  8. area network umts: 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 17 UMTS-WiMAX...

  9. SECURITY AND COMMUNICATION NETWORKS Security Comm. Networks (2013)

    E-Print Network [OSTI]

    2013-01-01T23:59:59.000Z

    SECURITY AND COMMUNICATION NETWORKS Security Comm. Networks (2013) Published online in Wiley Online Library (wileyonlinelibrary.com). DOI: 10.1002/sec.819 SPECIAL ISSUE PAPER Integrating security mechanisms, must be protected against security threats. Due to the security and also resource constraint concerns

  10. Wireless Network Interface Energy Conservation for Bottlenecked First Mile Networks

    E-Print Network [OSTI]

    Chandra, Surendar

    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

  11. Ecological NetworksEcological Networks 15 September 2009

    E-Print Network [OSTI]

    Albert, Rka

    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

  12. General Network Lifetime and Cost Models for Evaluating Sensor Network

    E-Print Network [OSTI]

    Heinzelman, Wendi

    General Network Lifetime and Cost Models for Evaluating Sensor Network Deployment Strategies Zhao Cheng, Mark Perillo, and Wendi B. Heinzelman, Senior Member, IEEE Abstract--In multihop wireless sensor to energy imbalance among sensors often appear. Sensors closer to a data sink are usually required

  13. Network Bandwidth Utilization Forecast Model on High Bandwidth Network

    SciTech Connect (OSTI)

    Yoo, Wucherl; Sim, Alex

    2014-07-07T23:59:59.000Z

    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.

  14. Network Upgrade for the SLC: PEP II Network

    SciTech Connect (OSTI)

    Crane, M.; Call, M.; Clark, S.; Coffman, F.; Himel, T.; Lahey, T.; Miller, E.; Sass, R.; /SLAC

    2011-09-09T23:59:59.000Z

    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.

  15. Networks in Finance Anna Nagurney

    E-Print Network [OSTI]

    Nagurney, Anna

    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

  16. RNEDE: Resilient Network Design Environment

    SciTech Connect (OSTI)

    Venkat Venkatasubramanian, Tanu Malik, Arun Giridh; Craig Rieger; Keith Daum; Miles McQueen

    2010-08-01T23:59:59.000Z

    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.

  17. 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

  18. Network layer Connectionless datagram forwarding

    E-Print Network [OSTI]

    (passed down by transport layer) into datagrams Destination host delivers segments up to transport layer by the cold war " If there exists a path, routers will put it in the routing table automatically Forwarding in the original order Physical Link Network Transport Application Physical Link Network Transport Application

  19. LHC Network Measurement Joe Metzger

    E-Print Network [OSTI]

    1 LHC Network Measurement Joe Metzger Nov 6 2007 LHCOPN Meeting at CERN Energy Sciences Network & Capacity RRDMA Input Errors & Output Drops PS-SNMPMA Done ?? Beta Aug 1, Package Sep 1 Visualize perf On-demand AMI MA & Scheduler Hades Owamp MP Beta Sep 15, Package Oct 1 October Done Archive perf

  20. Collective network for computer structures

    DOE Patents [OSTI]

    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

    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.

  1. Neural Networks Perceptrons and Backpropagation

    E-Print Network [OSTI]

    Bremen, Universität

    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

  2. Ranking species in mutualistic networks

    E-Print Network [OSTI]

    Domnguez-Garca, Virginia

    2015-01-01T23:59:59.000Z

    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.

  3. Linear Quantum Feedback Networks

    E-Print Network [OSTI]

    J. Gough; R. Gohm; M. Yanagisawa

    2008-07-15T23:59:59.000Z

    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.

  4. Historical 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHigh School football High SchoolBundles toHiring-TP59.01 C5;44 Network Maps

  5. COSC 472 Network Security Annie Lu 1 COSC 472 Network Security

    E-Print Network [OSTI]

    Lu, Enyue "Annie"

    COSC 472 Network Security Annie Lu 1 COSC 472 Network Security Instructor: Dr. Enyue (Annie) Lu Network Security Annie Lu 2 Course overview Chapter 1: Introduction Part I: Cryptography Chapter 2 Part II III: Network Security Chapter 4: key Distribution & User Authentication Chapter 5: Network

  6. Joint Network/Channel Decoding for Heterogeneous MultiSource/MultiRelay Cooperative Networks

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    Joint Network/Channel Decoding for Heterogeneous MultiSource/MultiRelay Cooperative Networks for multisource multirelay heterogeneous wireless networks. When convolutional and network codes are used Error Protection (UEP) properties, which might be useful for heterogeneous wireless networks in which

  7. The two faces of network dynamics Evolving network models describe the dynamics (assembly, evolution)

    E-Print Network [OSTI]

    Albert, Rka

    with a random network with a given degree distribution P(k). Mark edges with probability T. DisregardThe two faces of network dynamics Evolving network models describe the dynamics (assembly, evolution) OF networks by the addition/removal of nodes and edges. It is possible to have network dynamics

  8. Modeling Network Diversity for Evaluating the Robustness of Networks against Zero-Day Attacks

    E-Print Network [OSTI]

    Wang, Lingyu

    evaluate our algorithm and metrics through simulation. Keywords: Security Metrics, Diversity, Network towards formally modeling network diversity as a security metric, for the purpose of evaluating a networkModeling Network Diversity for Evaluating the Robustness of Networks against Zero-Day Attacks

  9. RINSE: the Real-time Immersive Network Simulation Environment for Network Security Exercises (Extended Version)

    E-Print Network [OSTI]

    Liu, Xiaowen "Jason"

    RINSE: the Real-time Immersive Network Simulation Environment for Network Security Exercises-time Immer- sive Network Simulation Environment for network security exercises (RINSE) to meet this need to support large-scale network security preparedness and training ex- ercises, involving hundreds of players

  10. High Performance Network Monitoring

    SciTech Connect (OSTI)

    Martinez, Jesse E [Los Alamos National Laboratory

    2012-08-10T23:59:59.000Z

    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.

  11. Social networks and the Semantic Web

    E-Print Network [OSTI]

    Baeza-Yates, Ricardo

    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

  12. Logistical Networking Sharing More than the Wires

    E-Print Network [OSTI]

    Plank, Jim

    Network as approaches to flexible implementation of advanced network protocols. We describe the Internet. The goal of computer networking is typically taken to be communication, i.e. the transmission of data1 Logistical Networking Sharing More than the Wires Micah Beck, Terry Moore, Jim Plank, Martin

  13. OFC Review 2013 Software Defined Network (SDN)

    E-Print Network [OSTI]

    California at Davis, University of

    and transmission rate w/o hardware change Dedicated PCE to scale OpenFlow architectutre #12;Network ArchitectureOFC Review 2013 Software Defined Network (SDN) M. Farhan Habib May 10, 2013 Friday Group Meeting Networks Lab @ UCD #12;NTu3F: SDN in Today's Network #12;SDN: What and Why Traditional distributed

  14. Multi-camera networks Andrea Cavallaro

    E-Print Network [OSTI]

    Cavallaro, Andrea

    medicine Multi-camera networks: scale Personal video conferencing gaming Home energy efficiency domotics

  15. Energy Proportional Datacenter Networks Dennis Abts

    E-Print Network [OSTI]

    Tomkins, Andrew

    and performance envelopes dynamically. Using a network simulator, driven by both synthetic workloads]: Network communica- tions; Topology; B.4.3 [Interconnections]: Fiber optics; Topology General Terms-1-4503-0053-7/10/06 ...$10.00. Keywords Low-power networking, Datacenter networks, Interconnection net- works 1. INTRODUCTION

  16. Localized Bridging Centrality for Distributed Network Analysis

    E-Print Network [OSTI]

    Kotz, David

    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

  17. Power Management in Wireless Networks Kevin Klues

    E-Print Network [OSTI]

    Jain, Raj

    Power Management in Wireless Networks Kevin Klues Abstract This paper presents a survey on the various power saving techniques used in wireless networking today. The work presented covers topics at each layer of a wireless networking protocol stack. The types of wireless networks considered include

  18. Restructuring our electricity networks to promote decarbonisation

    E-Print Network [OSTI]

    Watson, Andrew

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

  19. DISTRIBUTED OPPORTUNISTIC TRANSMISSION FOR WIRELESS SENSOR NETWORKS

    E-Print Network [OSTI]

    Islam, M. Saif

    DISTRIBUTED OPPORTUNISTIC TRANSMISSION FOR WIRELESS SENSOR NETWORKS Qing Zhao and Lang Tong School Strategy We consider the problem of information retrieval in sensor networks with mobile access points on Communica- tion and Networks under Grant DAAD19-01-2-0011. Fig. 1: Sensor networks with mobile access

  20. Semiring Artificial Neural Networks and Weighted Automata

    E-Print Network [OSTI]

    Hoelldobler, Steffen

    Semiring Artificial Neural Networks and Weighted Automata And an Application to Digital Image neural networks and weighted automata. For this task, we introduce semiring artificial neural networks, that is, artificial neural networks which implement the addition and the multiplication of semirings. We

  1. Introduction to Artificial Intelligence Neural Networks

    E-Print Network [OSTI]

    Qu, Rong

    Introduction to Artificial Intelligence (G51IAI) Dr Rong Qu Neural Networks #12;G51IAI Introduction to AI Neural Networks Chapter 20 Artificial Intelligence : A Modern Approach (AIMA) Russell Introduction to AI Neural Networks More precisely: Artificial Neural Networks Simulating, on a computer, what

  2. Artificial Neural Network Portion of Coil Study

    E-Print Network [OSTI]

    Putten, Peter van der

    Artificial Neural Network Portion of Coil Study LTC William M. Crocoll School of Systems TO ARTIFICIAL NEURAL NETWORKS A neural network is a massively parallel system comprised of many highly of the brain (Dayhoff, 1990). A major task for a neural network is to learn and maintain a model of the world

  3. Artificial Bee Colony Training of Neural Networks

    E-Print Network [OSTI]

    Bullinaria, John

    Artificial Bee Colony Training of Neural Networks John A. Bullinaria and Khulood AlYahya School of artificial Neural Networks (NNs). Of course, there already exist many hybrid neural network learning for optimization, that has previously been applied successfully to the training of neural networks. This paper ex

  4. Dynamics of Social Networks HOLGER EBEL,1

    E-Print Network [OSTI]

    Bornholdt, Stefan

    Dynamics of Social Networks HOLGER EBEL,1 JO RN DAVIDSEN,2 AND STEFAN BORNHOLDT3 1 Institute with experimental data of social networks, as for example, coauthorship networks in high energy physics. 2003 Wiley Periodicals, Inc. Key Words: complex networks; social systems; scaling laws I n many kinds

  5. Talent Acquisition Talent Development Social Network Essentials

    E-Print Network [OSTI]

    Bordenstein, Seth

    Talent Acquisition Talent Development Social Network Essentials for Students Dan Ryan April 1, 2013 #12;What are your goals for today? #12;Beginning steps Resume/CV Networking Social networks relevant information Internships Research Study abroad #12;What is Networking? A two-way process

  6. Network Coding for Large Scale Content Distribution

    E-Print Network [OSTI]

    Keinan, Alon

    Network Coding for Large Scale Content Distribution IEEE Infocom 2005 Christos Gkantsidis College propose a new scheme for content distribution of large files that is based on network coding. With network coding, each node of the distribution network is able to generate and transmit encoded blocks

  7. Introduction to Network Science 1 Stanley Milgram

    E-Print Network [OSTI]

    Safro, Ilya

    :statistics is poor at the tailof the distribution Solution I: different sizes of bins #12;Introduction to Network Cumulative Distribution Newman "Networks, an Introduction" Advantages: no bins easy calculation can #12;Introduction to Network Science 7 Cumulative Distribution From Newman "Networks, an Introduction

  8. Distributed Compressed Sensing in Dynamic Networks

    E-Print Network [OSTI]

    Eldar, Yonina

    Distributed Compressed Sensing in Dynamic Networks Stacy Patterson Department of Computer Science theoretical results to develop a distributed version of IHT for dynamic networks. Evaluations show that our throughout the network, it is desirable to perform this recovery within the network in a distributed fashion

  9. Integrating Correlated Bayesian Networks Using Maximum Entropy

    SciTech Connect (OSTI)

    Jarman, Kenneth D.; Whitney, Paul D.

    2011-08-30T23:59:59.000Z

    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.

  10. Real-time network simulation support for

    E-Print Network [OSTI]

    Liu, Xiaowen "Jason"

    Real-time network simulation support for scalable routing experiments Yue Li*, Jason Liu, and Raju-time network simulation with the realism of open- source routing protocol implementations. The infrastructure experiments on light-weight virtual machines. Keywords: network simulation; real-time simulation; network

  11. Nanobionics Supercharge Photosynthesis | U.S. DOE Office of Science...

    Office of Science (SC) Website

    Nanobionics Supercharge Photosynthesis Basic Energy Sciences (BES) BES Home About Research Facilities Science Highlights Benefits of BES Funding Opportunities Basic Energy Sciences...

  12. 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...

  13. 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...

  14. 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...

  15. Capturing All the Light: Panchromatic Visible Absorption for...

    Office of Science (SC) Website

    Capturing All the Light: Panchromatic Visible Absorption for Solar Photoconversion Basic Energy Sciences (BES) BES Home About Research Facilities Science Highlights Benefits of BES...

  16. Edge Direction and the Structure of Networks

    E-Print Network [OSTI]

    Foster, Jacob G; Grassberger, Peter; Paczuski, Maya

    2009-01-01T23:59:59.000Z

    Directed networks are ubiquitous, from food webs to the World Wide Web, but the directionality of their interactions has been disregarded in most studies of global network structure. One important global property is the tendency of nodes with similar numbers of edges to be connected. This tendency, called assortativity, affects crucial structural and dynamic properties of real-world networks. Here we demonstrate the importance of edge direction by studying assortativity in directed networks. We define a set of four directed assortativity measures. By comparison to randomized networks, we discover significant features of three network classes: online/social networks, food webs, and word-adjacency networks. The full set of measures is needed to reveal patterns common to the class or to separate networks that have been previously classified together. Our measures expose limitations of existing theoretical models, and show that many networks are not purely assortative or disassortative but a mixture of the two.

  17. artificially generated gravity: Topics by E-print Network

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

    (Nolfi and Floreano, 2000), neural networks design files of body com- ponents for 3D printing, and for compiling neural-network controllers to run artificial neural networks....

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

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

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

  19. Better Buildings Network View | March 2015 | Department of Energy

    Energy Savers [EERE]

    Better Buildings Network View | March 2015 Better Buildings Network View | March 2015 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's...

  20. Scalable, efficient, and fault-tolerant data center networking

    E-Print Network [OSTI]

    Walraed-Sullivan, Meg; Walraed-Sullivan, Meg

    2012-01-01T23:59:59.000Z

    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