National Library of Energy BETA

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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room News PublicationsAudits & Inspections Audits &driversNetworkBES User FacilitiesNetwork

  2. BES Science Network Requirements

    SciTech Connect (OSTI)

    Biocca, Alan; Carlson, Rich; Chen, Jackie; Cotter, Steve; Tierney, Brian; Dattoria, Vince; Davenport, Jim; Gaenko, Alexander; Kent, Paul; Lamm, Monica; Miller, Stephen; Mundy, Chris; Ndousse, Thomas; Pederson, Mark; Perazzo, Amedeo; Popescu, Razvan; Rouson, Damian; Sekine, Yukiko; Sumpter, Bobby; Dart, Eli; Wang, Cai-Zhuang -Z; Whitelam, Steve; Zurawski, Jason

    2011-02-01

    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. BES Science Network Requirements

    E-Print Network [OSTI]

    Dart, Eli

    2011-01-01

    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

  4. ESnet: Advanced Networking for Science

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HABFES Science Network Requirements Report of the Fusion EnergyNetworkN

  5. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room News PublicationsAudits & Inspections Audits &driversNetwork

  6. ESnet: a Production IPv6 Network

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDid you not find what you wereDisclaimersMail RequestsESnet's Science IPv6

  7. ESnet supports Sandia and APNIC IPv6 Background Radiation research

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

    IPv6 Network IPv6 Implementation Checklist ESnet IPv6 Mirror Servers ESnet IPv6 History ESnet supports Sandia and APNIC IPv6 Background Radiation research Network...

  8. ESnet Releases Open Source Software from MyESnet Portal for Building...

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

    Releases Open Source Software from MyESnet Portal for Building Online Interactive Network Portals News & Publications ESnet News Media & Press Publications and Presentations...

  9. ESnet Program Plan 1994

    SciTech Connect (OSTI)

    Merola, S.

    1994-11-01

    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. ESnet Visualization Widgets

    SciTech Connect (OSTI)

    Gopal Vaswani, Jon Dugan

    2012-07-01

    The ESnet Visualization widgets are various data visualization widgets for use in web browsers to aid in the visualization of computer networks. In particular the widgets are targetted at displaying timeseries and topology data. They were developed for use in the MyESnet portal but are general enough to be used other places. The widgets are built using the d3.js library.

  11. ESnet, NERSC Blaze 400G Production Network Path

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDid you not find what you wereDisclaimersMail RequestsESnet's Science

  12. CENIC Honors ESnet's 100G Testbed

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

    in Networking Award for High-Performance Research Applications for their 100-Gigabit Software-Defined Networking (100G SDN) Testbed. The ESnet 100G SDN Testbed provides...

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

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

    It needs big bandwidth, too. The Department of Energy's Advanced Networking Initiative (ANI), operated under the auspices of the Energy Sciences Network, or ESnet, will bring...

  14. Department of Energy's ESnet and NERSC Blaze 400G Production...

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

    (Globally) 1 510-486-7607 (Globally) Report Network Problems: trouble@es.net Provide Web Site Feedback: info@es.net ESnet and NERSC Blaze 400G Production Network Path 400G...

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

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

    (Globally) 1 510-486-7607 (Globally) Report Network Problems: trouble@es.net Provide Web Site Feedback: info@es.net Energy Secretary Moniz Honors ESnet's OSCARS Bandwidth...

  16. Energy Sciences Network (ESnet)

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

    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 Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory of rare Kaonforsupernovae model (Journal About DOE Button StaffEnergyEFRCESnet

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

    ScienceCinema (OSTI)

    Johnston, Bill

    2011-04-28

    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.

  18. ESnet Marks 25 Years of Service to Science

    SciTech Connect (OSTI)

    None

    2011-01-01

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

  19. ESnet Marks 25 Years of Service to Science

    ScienceCinema (OSTI)

    None

    2013-05-29

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

  20. BES Science Network Requirements

    E-Print Network [OSTI]

    Dart, Eli

    2011-01-01

    LBNL (Molecular Foundry) Jason Zurawski, Internet2 (72 Molecular Foundry TheoryFacility, Molecular Foundry,

  1. BES Science Network Requirements

    E-Print Network [OSTI]

    Dart, Eli

    2011-01-01

    model where resource allocation will follow the separation between these two phases of the discovery process,

  2. BES Science Network Requirements

    E-Print Network [OSTI]

    Dart, Eli

    2011-01-01

    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

  3. BES Science Network Requirements

    E-Print Network [OSTI]

    Dart, Eli

    2011-01-01

    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

  4. BES Science Network Requirements

    E-Print Network [OSTI]

    Dart, Eli

    2011-01-01

    30-ft wide by 8- ft high Powerwall for data exploration andwith which to operate the Powerwall and manage multimediadelivery to the EVEREST Powerwall. ORNL also provides Lens,

  5. BES Science Network Requirements

    E-Print Network [OSTI]

    Dart, Eli

    2011-01-01

    21 Neutron Scattering Science User Facilities atlight source facilities, neutron scattering facilities, andup to 40Gbps 7 Neutron Scattering Science User Facilities at

  6. BES Science Network Requirements

    E-Print Network [OSTI]

    Dart, Eli

    2011-01-01

    stratified mixtures, flame stabilization in autoignitive flows, autoignition under homogeneous charge

  7. 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...

  8. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HABFES Science Network Requirements Report of the Fusion EnergyNetwork

  9. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HABFES Science Network Requirements Report of the Fusion EnergyNetworkN

  10. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HAB PacketDieselAbsorptionPowering6106 TotalMinutesNetworking

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

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

    system communication be based on a service-oriented capability. Keywords. Energy Sciences Network (ESnet), networks for large-scale science, network planning, networks...

  12. 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...

  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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D B L O O DBiomassBudget Basic Energy Sciences (BES) BESBESBESBES

  14. Baryon Resonances Observed at BES

    E-Print Network [OSTI]

    B. S. Zou

    2008-02-01

    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.

  15. Streaming Exascale Data over 100Gbps Networks

    E-Print Network [OSTI]

    Balman, Mehmet

    2014-01-01

    Network   Initiative   (ANI 1 )   supported   by   the  As   a   part   of   the   ANI   project,   ESnet 2  and  In  addition,  the  ANI  project  also  includes  a  

  16. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D B L O O DBiomassBudget Basic Energy Sciences (BES) BES and

  17. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D B L O O DBiomassBudget Basic Energy Sciences (BES) BES

  18. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HAB PacketDieselAbsorptionPowering6106 TotalMinutesNetworkingMirror

  19. Science-Driven Network Requirements for ESnet

    E-Print Network [OSTI]

    2006-01-01

    use of Grid middleware, Grid security services, and metadatamembers and the use of Grid security tools and services. •

  20. Science-Driven Network Requirements for ESnet

    E-Print Network [OSTI]

    2006-01-01

    Greenwald, MIT (Magnetic Fusion Energy) Jason Hodges, ORNL (Schissel, GA (Magnetic Fusion Energy) Gary Strand, NCAR (2-18 Magnetic Fusion Energy

  1. Networking for the Future of DOE Science

    E-Print Network [OSTI]

    1 Networking for the Future of DOE Science: High Energy Physics / LHC Networking February 26, 2007 National Laboratory wej@es.net, www.es.net #12;2 DOE Office of Science and ESnet ­ the ESnet Mission · "The in high-energy physics, nuclear physics, and fusion energy sciences." (http://www.science.doe.gov) · In FY

  2. Twelve of the World's Leading National R&E Networks Open Doors...

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

    Twelve of the World's Leading National R&E Networks Open Doors for International Research News & Publications ESnet News Media & Press Publications and Presentations Galleries...

  3. NERSC/DOE BES Requirements Workshop Participants

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

    Sciences An ASCR BES NERSC Workshop February 9-10, 2010 Name Organization Area James Davenport DOEBES & Brookhaven National Lab Materials Sciences and Engineering Division;...

  4. NERSC/DOE BES Requirements Workshop Presentations

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

    Workshop Goals February 9, 2010 | Author(s): Yukiko Sekine | Workshop outline, logistics, format, procedures February 9, 2010 | Author(s): Richard Gerber | BES Program...

  5. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D B L O O DBiomassBudget Basic Energy Sciences (BES) BES andBasic

  6. Advanced Scientific Computing Research Network Requirements

    SciTech Connect (OSTI)

    Bacon, Charles; Bell, Greg; Canon, Shane; Dart, Eli; Dattoria, Vince; Goodwin, Dave; Lee, Jason; Hicks, Susan; Holohan, Ed; Klasky, Scott; Lauzon, Carolyn; Rogers, Jim; Shipman, Galen; Skinner, David; Tierney, Brian

    2013-03-08

    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.

  7. ESnet's Science DMZ Breaks Down Barriers, Speeds up 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDid you not find what you wereDisclaimersMail RequestsESnet's Science DMZ

  8. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HABFES Science Network Requirements Report of the Fusion EnergyNetwork

  9. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room News PublicationsAudits & Inspections Audits &driversNetwork Requirements Report

  10. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HABFES Science Network Requirements Report of the Fusion Energy

  11. Microsoft Word - The_Advanced_Networks_and_Services_Underpinning...

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

    to, and designed to be compatible with, other research and education networks such as Internet2 in the United States and DANTEGANT in Europe. ESnet's mission is to provide an...

  12. MemzNet: Memory-Mapped Zero-copy Network Channel for Moving Large Datasets over 100Gbps Network

    E-Print Network [OSTI]

    Balman, Mehmet

    2014-01-01

    the Advance Network Initiative (ANI 1 ) project, ESnet 2 andin Tennessee. In addition, the ANI project also includes aNational Laboratory. The ANI Testbed 7 has been available to

  13. Mesoscale Simulations of Coarsening in GB Networks

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

    Mukul Kumar is the Principal Investigator for Mesoscale Simulations of Coarsening in GB Networks LLNL BES Programs Highlight Mesoscale Simulations of Coarsening in GB Networks The...

  14. FES BER HEP NP BES ASCR

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HABFES OctoberEvan Racah Evan-5InformationValues61 Used BER HEP NP BES

  15. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-Inspired Solar FuelTechnologyTel: Name:Department ofThe DOEThe31,124

  16. ESnet Organizes Panel on Superfacilities, Talks at Combined Networking

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HAB PacketDieselAbsorptionPowering6106Meeting Organizes Panel on

  17. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submitKansas Nuclear Profile 2010Mesoscopy and thermodynamics(Revised) TheESUE

  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. Biological and Environmental Research Network Requirements

    SciTech Connect (OSTI)

    Balaji, V.; Boden, Tom; Cowley, Dave; Dart, Eli; Dattoria, Vince; Desai, Narayan; Egan, Rob; Foster, Ian; Goldstone, Robin; Gregurick, Susan; Houghton, John; Izaurralde, Cesar; Johnston, Bill; Joseph, Renu; Kleese-van Dam, Kerstin; Lipton, Mary; Monga, Inder; Pritchard, Matt; Rotman, Lauren; Strand, Gary; Stuart, Cory; Tatusova, Tatiana; Tierney, Brian; Thomas, Brian; Williams, Dean N.; Zurawski, Jason

    2013-09-01

    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.

  20. 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

  1. 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...

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

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    for Software-Defined Networking Proving true SDN principles and deployment at Internet-scale, ONOS-based peering router and Vandervecken SDN controller stack successfully...

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

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

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    Energy Sciences Advisory Committee (BESAC) News & Resources Program Summaries Brochures Reports Accomplishments Presentations BES and Congress Science for Energy Flow Seeing...

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

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

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

  6. 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...

  7. 24052_NP_ESnet_Cover_150_v3

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    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 Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.TheoryTuesday, August 10, 20102016 News Below are news storiesPrinceton PlasmaNetwork

  8. 26093_ESNet_Belle_II_Cover_v3

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    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 Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.TheoryTuesday, August 10, 20102016 News Below are newsBelle-II Experiment Network

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

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

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  10. ESxSNMP: ESnet eXtensible SNMP System

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  11. BES Technologies, LLC receives small business award | Y-12 National

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  12. BES_NERSC_Workshop_Final_P6.pptx

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    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 Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D B L O O DBiomassBudget Basic Energy Sciences (BES)

  13. BioEnergy Solutions BES | Open Energy Information

    Open Energy Info (EERE)

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

    Office of Science (SC) Website

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

    Office of Science (SC) Website

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

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  17. 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)

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  18. ASCR Science Network Requirements

    SciTech Connect (OSTI)

    Dart, Eli; Tierney, Brian

    2009-08-24

    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.

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

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

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  20. ESnet Update

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  1. ESnet4:

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

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  2. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDid you not find what you wereDisclaimersMail Requests YouEnergy

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

    E-Print Network [OSTI]

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

    2011-01-01

    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...

  4. Department of Energy's ESnet and NERSC Blaze 400G Production Network Path

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

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  5. Inder Monga CTO, ESnet Division Deputy of Technology, Scien?fic Networking Division

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation CurrentHenry Bellamy,ImpactScientific and TechnicalApril 2015Science Data and

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

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

    Office of Science (SC) Website

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26thI D- 6 0GrantsThe LifeAtomic, Molecular,BES Committees ofBES

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

    Office of Science (SC) Website

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  9. HEP Science Network Requirements--Final Report

    SciTech Connect (OSTI)

    Bakken, Jon; Barczyk, Artur; Blatecky, Alan; Boehnlein, Amber; Carlson, Rich; Chekanov, Sergei; Cotter, Steve; Cottrell, Les; Crawford, Glen; Crawford, Matt; Dart, Eli; Dattoria, Vince; Ernst, Michael; Fisk, Ian; Gardner, Rob; Johnston, Bill; Kent, Steve; Lammel, Stephan; Loken, Stewart; Metzger, Joe; Mount, Richard; Ndousse-Fetter, Thomas; Newman, Harvey; Schopf, Jennifer; Sekine, Yukiko; Stone, Alan; Tierney, Brian; Tull, Craig; Zurawski, Jason

    2010-04-27

    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 August 2009 ESnet and the Office of High Energy Physics (HEP), of the DOE Office of Science, organized a workshop to characterize the networking requirements of the programs funded by HEP. The International HEP community has been a leader in data intensive science from the beginning. HEP data sets have historically been the largest of all scientific data sets, and the communty of interest the most distributed. The HEP community was also the first to embrace Grid technologies. The requirements identified at the workshop are summarized below, and described in more detail in the case studies and the Findings section: (1) There will be more LHC Tier-3 sites than orginally thought, and likely more Tier-2 to Tier-2 traffic than was envisioned. It it not yet known what the impact of this will be on ESnet, but we will need to keep an eye on this traffic. (2) The LHC Tier-1 sites (BNL and FNAL) predict the need for 40-50 Gbps of data movement capacity in 2-5 years, and 100-200 Gbps in 5-10 years for HEP program related traffic. Other key HEP sites include LHC Tier-2 and Tier-3 sites, many of which are located at universities. To support the LHC, ESnet must continue its collaborations with university and international networks. (3) While in all cases the deployed 'raw' network bandwidth must exceed the user requirements in order to meet the data transfer and reliability requirements, network engineering for trans-Atlantic connectivity is more complex than network engineering for intra-US connectivity. This is because transoceanic circuits have lower reliability and longer repair times when compared with land-based circuits. Therefore, trans-Atlantic connectivity requires greater deployed bandwidth and diversity to ensure reliability and service continuity of the user-level required data transfer rates. (4) Trans-Atlantic traffic load and patterns must be monitored, and projections adjusted if necessary. There is currently a shutdown planned for the LHC in 2012 that may affect projections of trans-Atlantic bandwidth requirements. (5) There is a significant need for network tuning and troubleshooting during the establishment of new LHC Tier-2 and Tier-3 facilities. ESnet will work with the HEP community to help new sites effectively use the network. (6) SLAC is building the CCD camera for the LSST. This project will require significant bandwidth (up to 30Gbps) to NCSA over the next few years. (7) The accelerator modeling program at SLAC could require the movement of 1PB simulation data sets from the Leadership Computing Facilities at Argonne and Oak Ridge to SLAC. The data sets would need to be moved overnight, and moving 1PB in eight hours requires more than 300Gbps of throughput. This requirement is dependent on the deployment of analysis capabilities at SLAC, and is about five years away. (8) It is difficult to achieve high data transfer throughput to sites in China. Projects that need to transfer data in or out of China are encouraged to deploy test and measurement infrastructure (e.g. perfSONAR) and allow time for performance tuning.

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

    SciTech Connect (OSTI)

    Tierney, Brian L.; Dart, Eli

    2008-02-01

    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.

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

    SciTech Connect (OSTI)

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

    2010-01-28

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

  12. 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

    2015-01-01

    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.

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

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

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

    Office of Science (SC) Website

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

    Office of Science (SC) Website

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

    Office of Science (SC) Website

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  17. 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

    2008-11-10

    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.

  18. Previous Workshops

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

    Previous Reviews The reports from the previous reviews are published on the ESnet web site. Links to the planning pages from recent previous ESNet network requirements...

  19. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-Inspired SolarAbout /Two0Photos andSeminars andWeylWhatEnergyDeployment

  20. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDidDevelopment TopMetathesisSediments and Related J. BennettThe

  1. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HAB PacketDieselAbsorptionPowering6106Meeting Organizes Panel

  2. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HAB PacketDieselAbsorptionPowering6106Meeting Organizes PanelBoard

  3. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HAB PacketDieselAbsorptionPowering6106Meeting Organizes

  4. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HAB PacketDieselAbsorptionPowering6106Meeting

  5. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HAB PacketDieselAbsorptionPowering6106Meetingsupports Sandia

  6. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDid you not find what you wereDisclaimersMail Requests YouEnergy Science

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

    SciTech Connect (OSTI)

    Martin Swany

    2012-06-16

    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.

  8. A Flexible Reservation Algorithm for Advance Network Provisioning

    SciTech Connect (OSTI)

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

    2010-04-12

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

  9. About the Department of Energy's Basic Energy Sciences Program Basic Energy Sciences (BES) supports fundamental research to understand, predict, and ultimately control matter

    E-Print Network [OSTI]

    Zhigilei, Leonid V.

    at the electronic, atomic, and molecular levels. This research provides the foundations for new energy technologies#12;About the Department of Energy's Basic Energy Sciences Program Basic Energy Sciences (BES) supports fundamental research to understand, predict, and ultimately control matter and energy

  10. Measurement and physical interpretation of the mean motion of turbulent density patterns detected by the BES system on MAST

    E-Print Network [OSTI]

    Ghim, Y -c; Dunai, D; Zoletnik, S; Bardoczi, L; Schekochihin, A A

    2012-01-01

    The mean motion of turbulent patterns detected by a two-dimensional (2D) beam emission spectroscopy (BES) diagnostic on the Mega Amp Spherical Tokamak (MAST) is determined using a cross-correlation time delay (CCTD) method. Statistical reliability of the method is studied by means of synthetic data analysis. The experimental measurements on MAST indicate that the apparent mean poloidal motion of the turbulent density patterns in the lab frame arises because the longest correlation direction of the patterns (parallel to the local background magnetic fields) is not parallel to the direction of the fastest mean plasma flows (usually toroidal when strong neutral beam injection is present). The experimental measurements are consistent with the mean motion of plasma being toroidal. The sum of all other contributions (mean poloidal plasma flow, phase velocity of the density patterns in the plasma frame, non-linear effects, etc.) to the apparent mean poloidal velocity of the density patterns is found to be negligible...

  11. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submitKansas Nuclear Profile 2010Mesoscopy and thermodynamics(Revised) TheESUE Sign

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

    E-Print Network [OSTI]

    , Large-Scale Science: DOE's ESnet William E. Johnston ESnet Manager and Senior Scientist, DOE Lawrence approach and architecture for DOE's Energy Sciences Network (ESnet), which is the network that serves all of the major DOE facilities. This new architecture includes elements supporting multiple, high-speed national

  13. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDid you notHeatMaRIEdioxide capture CSNationalNational UserNaval TheNetwork

  14. BES Workshop Reports

    Office of Science (SC) Website

    (more) JPG .jpg file (440KB) PDF file of this of report .pdf file (7.9MB) The Mesoscale Science Report: From Quanta to the Continuum: Opportunities for Mesoscale Science...

  15. BES Science Highlights

    Office of Science (SC) Website

    that a propagating plasmon can be detected at least 250 microns away from the generation source, meaning it can travel far enough to be useful in electronic circuits. This...

  16. BES Requirements Review 2014

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

    will be held at the Holiday Inn Express and Suites in Germantown, MD. Please see the Logistics section below for additional details. Review Registration The review is by...

  17. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass map shines light on77 PAGEMissionStressMoveMuncriefB O N1Biological

  18. BES Energy Storage Research

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum Based Fuels Research atDepartmentAuditsDepartmentj.

  19. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26thI D- 6 0 4 2 rzNewsOffice

  20. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26thI D- 6 0 4 2 rzNewsOfficehighlights/ The Office of Science

  1. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26thI D- 6 0 4 2 rzNewsOfficehighlights/ The Office ofReports

  2. Belle-II Experiment Network Requirements

    SciTech Connect (OSTI)

    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

    2013-05-28

    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.

  3. 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

  4. Eli Dart

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

    (ITER) Eli Dart, ESnet (Networking) Vince Dattoria, DOESCASCR (ASCR Program Office) Bill Dorland, University of Maryland (Fusion - Computation) Martin Greenwald, MIT (Fusion...

  5. August | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    Recovery and Reinvestment Act, the Advanced Networking Initiative, will ensure that the United States stays competitive in science and technology. Specifically, ESnet will...

  6. ESnet Update Steve Cotter, Dept Head

    E-Print Network [OSTI]

    Model Operations End-site education, best practices and consulting services Performance management' integrated services that deliver `end-to-end' high-performance data transfer, HPC/cloud computing-CHI, EQX-SJ, LASV, LVK, NREL, NSO, SNLA, SRS · PPPL M120: to be replaced with MX480 TBD #12;Lawrence

  7. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room News PublicationsAudits &Bradbury Science Museum6 Shares1-0005-000CD .... -- en

  8. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.TheoryTuesday, August 10, 20102016 News Below are news storiesPrinceton42-ASciences

  9. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.TheoryTuesday, August 10, 20102016 News Below are news

  10. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.TheoryTuesday, August 10, 20102016 News Below are newsBelle-II Experiment Networkand

  11. Collaborative Combustion Research with BES

    Office of Energy Efficiency and Renewable Energy (EERE)

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

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

    SciTech Connect (OSTI)

    Newman, Harvey B; Barczyk, Artur J

    2013-04-05

    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]

    Giaccone, Paolo

    Network Management Pag. 1 Network Management Network management and QoS provisioning - 1Andrea of this license visit: http://creativecommons.org/licenses/by-nc- /3 0/ Network management and QoS provisioning ­ Chapter 9, Network Management, of the book Jim Kurose, Keith Ross, Computer Networking, A Top Down

  14. Supporting Advanced Scientific Computing Research Basic Energy Sciences Biological

    E-Print Network [OSTI]

    and Environmental Research · Fusion Energy Sciences · High Energy Physics · Nuclear Physics IPv6 SNMP Network will become consistent and routine IPv6 SNMP Network Management Goals #12;2/2/10 ·ESnet has a long history - Polling of SNMP MIBs - Handling of asynchronous trap based alerts - GUI input & output Enablers ESnet has

  15. OLiMPS. OpenFlow Link-layer MultiPath Switching

    SciTech Connect (OSTI)

    Newman, Harvey B.; Barczyk, Artur; Bredel, Michael

    2014-11-17

    The OLiMPS project’s 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 ESnet’s OSCARS. Both goals were achieved successfully, as laid out in this report.

  16. ESnet Releases Open Source Software from MyESnet Portal for Building Online

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDid you not find what you wereDisclaimersMail Requests YouEnergyInteractive

  17. Network Management Network Management

    E-Print Network [OSTI]

    Giaccone, Paolo

    Network Management Pag. 1 Network Management Andrea Bianco Telecommunication Network Group Network management and QoS provisioning - 1Andrea Bianco ­ TNG group - Politecnico di Torino Telecommunication management and QoS provisioning - 2Andrea Bianco ­ TNG group - Politecnico di Torino Stanford, California

  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

    2014-03-01

    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 today’s 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. Press Pass - Press Releases

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

    important milestone in the DOE Science Networking Roadmap that will provide Fermilab with high-speed and fail-safe connectivity to the ESnet core as well as to the international...

  20. NERSC/DOE BES Requirements Workshop Presentations

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

    and Molecules February 9, 2010 | Author(s): Brian Austin | Simulations of correlated electrons: What's under the superconducting dome in the two-dimensional Hubbard model?...

  1. 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 bacterial metabolism even at conditions outside the optimum range for anaerobic digestion (Angenent et al

  2. NERSC/DOE BES Requirements Workshop Agenda

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

    Austin 16:10 13:10 Case Studies: Spectroscopy and Light-Matter Interactions DOE POC: Jim Davenport Thomas Devereaux Jeffery Neaton 17:30 14:30 Break 17:40 14:40 Case Studies:...

  3. 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...

  4. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass map shines light on77 PAGEMissionStressMoveMuncriefB O N1Biological andBasic

  5. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory of raregovAboutRecovery ActTools toBadging, Badge Office Badging,

  6. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACT EVALUATIONIntroducingJobs2015Administration shows off the funKDPm

  7. BES Energy Storage Research | 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 Data Center Home Page on Delicious Rank EERE: Alternative FuelsofProgram:Y-12Power, Inc | DepartmentPeer20Insulatedof

  8. Network Economics Anna Nagurney

    E-Print Network [OSTI]

    Nagurney, Anna

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

  9. Congress Members, Staff Turn Out for ESnet's Congressional Briefing...

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

    (NIH), Vint Cerf (Google), President David Lassner (University of Hawai'i) and Chip Elliot (Raytheon BBN). July 29, 2015 Jon Bashor, +1 510 486 5849, JBashor@lbl.gov More than...

  10. ESnet Enhances Scientific Productivity Around the Globe | U.S...

    Office of Science (SC) Website

    photovoltaics. Organic photovoltaics (OPVs) have greater flexibility than traditional solar cells, promising increased energy efficiency and reduced costs. However, they are...

  11. 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

  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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.TheoryTuesday, August 10, 20102016 News Below are newsBelle-II Experiment

  13. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HAB PacketDieselAbsorptionPowering6106

  14. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HAB PacketDieselAbsorptionPowering6106Meeting OrganizesStaffUpdate

  15. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HAB PacketDieselAbsorptionPowering6106Meetingsupports Sandia and

  16. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HABFES October 27th, 2010 Thanks forEnergy Science Print OurService

  17. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTIONStrategic!Plan!

  18. Sensor networks for social networks

    E-Print Network [OSTI]

    Farry, Michael P. (Michael Patrick)

    2006-01-01

    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. ...

  19. Cognitive Radio Networks as Sensor Networks

    E-Print Network [OSTI]

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

    2007-01-01

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

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

    SciTech Connect (OSTI)

    Rehr, John J.

    2012-08-02

    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 CMCSN’s 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 CMCSN’s 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.

  1. 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. ...

  2. Energy Efficient Digital Networks

    E-Print Network [OSTI]

    Lanzisera, Steven

    2014-01-01

    equipment, market transformation for digital networks iimarket transformation of energy efficient digital networks.transformation activities. Table 7: Transforming the Network for Digital

  3. Groundwater Monitoring Network

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

    Groundwater Monitoring Network Groundwater Monitoring Network The network includes 92 natural sources, 102 regional aquifer wells, 41 intermediate-depth wells and springs, and 67...

  4. Neural Networks Early Neural Network Modeling

    E-Print Network [OSTI]

    Yuste, Rafael

    Appendix E Neural Networks Early Neural Network Modeling Neurons Are Computational Devices A Neuron? This is the central question moti- vating the study of neural networks. In this appendix we provide a brief historical review of the field, intro- duce some key concepts, and discuss two influential models of neural networks

  5. Network Monitoring in Multicast Networks Using Network Coding

    E-Print Network [OSTI]

    Ho, Tracey

    , and give some experimental results for one and two link failures in randomly generated networks. We also inference of possible locations of link failures or losses in a network. For distributed randomized network coding, we bound the probability of being able to distinguish among a given set of failure events

  6. The Network

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDidDevelopment TopMetathesisSediments and RelatedProject HomeNetwork

  7. Introduction to Network Analysis 1 Introduction to Network Analysis

    E-Print Network [OSTI]

    Safro, Ilya

    Networks from networksandservers.blogspot.com #12;Introduction to Network Analysis 7 Natural gas major

  8. Network coding for robust wireless networks

    E-Print Network [OSTI]

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

    2012-01-01

    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. Energy aware network coding in wireless networks

    E-Print Network [OSTI]

    Shi, Xiaomeng, Ph. D. Massachusetts Institute of Technology

    2012-01-01

    Energy is one of the most important considerations in designing reliable low-power wireless communication networks. We focus on the problem of energy aware network coding. In particular, we investigate practical energy ...

  10. Efficient network camouflaging in wireless networks 

    E-Print Network [OSTI]

    Jiang, Shu

    2006-04-12

    (e.g. broadcast, node mobility) that traditional wired networks do not possess. This necessitates developing new techniques that take account of properties of wireless networks and are able to achieve a good balance between performance and security...

  11. Cooperative Wireless Network Behnaam Aazhang

    E-Print Network [OSTI]

    Aazhang, Behnaam

    Cooperative Wireless Network Behnaam Aazhang #12;Cooperative Wireless Network Behnaam Aazhang Sabharwal #12;Wireless Network · Infrastructure · Ad hoc · Mesh network #12;Engineering Wireless Network · Wireless links ­ Per link design #12;Single Wireless Link · Additive Gaussian Channels ­ Achievable rate

  12. The Jaguar system consists of an 84 cabinet quad-core Cray XT4 system and 200 upgraded Cray XT5 cabinets, using six-core processors. The XT4 has 8 gigabytes of memory per node while the XT5 has 16

    E-Print Network [OSTI]

    "Budapest" processor coupled with 8 gigabytes of DDR2-800 memory. The XT5 is a double-density version Opteron has directly attached 8 gigabytes of DDR2-800 memory. The result is a dual-socket, twelve. High-throughput networks among its systems and upgraded connections to ESnet (Energy Sciences Network

  13. Interconnection networks

    DOE Patents [OSTI]

    Faber, V.; Moore, J.W.

    1988-06-20

    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.

  14. Financial Networks Anna Nagurney

    E-Print Network [OSTI]

    Nagurney, Anna

    Freight Network World Oil Routes Natural Gas Flows Network Systems Internet Traffic Anna Nagurney in decision-making; constraints on resources: human, financial, natural, time, etc.; global reach of many of Networks Today large-scale nature and complexity of network topology; congestion, which leads

  15. Southwestern Ontario Medical Education Network Southwestern Ontario Medical Education Network

    E-Print Network [OSTI]

    Lennard, William N.

    Southwestern Ontario Medical Education Network SWOMEN Southwestern Ontario Medical Education Network SWOMEN Contact: Charlotte Sikatori, Southwestern Ontario Medical Education Network (SWOMEN

  16. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submit theCovalent Bonding Low-Cost2 DOE HQSiteoC. DoranDatabase Help March.*..*

  17. 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...

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

    Office of Science (SC) Website

    ranging from new electro-ozonation technologies, to greatly improved control and efficiency of electrodistillation. The theoretical work here applies to virtually all areas in...

  19. Way to recycle, BES Technologies | Y-12 National Security Complex

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

    has reached a major milestone by recycling 1 million gallons of radiological waste water through its laundry operations located at the East Tennessee Technology Park. This...

  20. 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 Data Center Home Page on Delicious Rank EERE:FinancingPetroleum Based Fuels|Programs |Chart ofClark EnergyClosing GapsClaude R.Combustion

  1. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust, High-Throughput Analysis ofSample SULI ProgramPhysical Society

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

    Office of Science (SC) Website

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26thI D- 6 0GrantsThe LifeAtomic, Molecular, andB.BERBudget

  3. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26thIWalter H. Zinn, 1969 The8,April2

  4. Way to recycle, BES Technologies | Y-12 National Security Complex

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking WithTelecentricN AProject Assessment Customer5-259011Program / Way to

  5. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACTThousand CubicResource and Job EventpopLA349226762Contributions to the

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

    E-Print Network [OSTI]

    Paris-Sud XI, Université 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

  7. Vulnerability Analysis of Complex Networks from Transportation Networks to

    E-Print Network [OSTI]

    Nagurney, Anna

    ;Natural Gas Pipeline Network in the US #12;World Oil Trading Network #12;The study of the efficient

  8. Comparison between Traditional Neural Networks and Radial Basis Function Networks

    E-Print Network [OSTI]

    Wilamowski, Bogdan Maciej

    Comparison between Traditional Neural Networks and Radial Basis Function Networks Tiantian Xie, Hao networks: traditional neural networks and radial basis function (RBF) networks, both of which of neural network architectures are analyzed and compared based on four different examples. The comparison

  9. Cooperation Incentives for Wireless Networks

    E-Print Network [OSTI]

    Wu, Chuchu

    2015-01-01

    incentives in multi-hop wireless networks. ” In INFOCOM,for offloading traffic from LTE network to wireless peer-to-reputation sys- tem for wireless mesh networks using network

  10. High Performance Datacenter Networks

    E-Print Network [OSTI]

    Cortes, Corinna

    High Performance Datacenter Networks Architectures, Algorithms, and Opportunities #12;Synthesis architecture conferences, such as ISCA, HPCA, MICRO, and ASPLOS. High Performance Datacenter Networks Computer Architecture Daniel J. Sorin 2009 The Datacenter as a Computer: An Introduction to the Design

  11. Using Neural Networks 

    E-Print Network [OSTI]

    Gabel, S.

    2003-01-01

    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...

  12. 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)

    2009-09-08

    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.

  13. Rooftop Unit Network Project

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

    Network Project RTU Network Project Michael Brambley, Ph.D. Pacific Northwest National Laboratory Michael.Brambley@pnnl.gov (509) 375-6875 April 4, 2013 2 | Building Technologies...

  14. Financial Networks Anna Nagurney

    E-Print Network [OSTI]

    Nagurney, Anna

    Gothenburg University Gothenburg, Sweden and John F. Smith Memorial Professor Director ­ Virtual Center themselves, such as the Internet with electric power networks, financial networks, and transportation Cables Radio Links Voice, Data, Video Energy Pumping Stations, Plants Pipelines, Transmission Lines Water

  15. Network coded wireless architecture

    E-Print Network [OSTI]

    Katti, Sachin Rajsekhar

    2008-01-01

    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 ...

  16. Mobile Networks and Applications

    E-Print Network [OSTI]

    Chen, Min

    of Western Macedonia, Macedonia, Greece e-mail: vasilako@ath.forthnet.gr Keywords wireless sensor networks

  17. Metallic nanowire networks

    DOE Patents [OSTI]

    Song, Yujiang; Shelnutt, John A.

    2012-11-06

    A metallic nanowire network synthesized using chemical reduction of a metal ion source by a reducing agent in the presence of a soft template comprising a tubular inverse micellar network. The network of interconnected polycrystalline nanowires has a very high surface-area/volume ratio, which makes it highly suitable for use in catalytic applications.

  18. Network Characterization Service (NCS)

    SciTech Connect (OSTI)

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

    2001-06-06

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

  19. 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

  20. Experiences with 100Gbps Network Applications

    E-Print Network [OSTI]

    Balman, Mehmet

    2013-01-01

    Network Initiative (ANI) Testbed, which is supported by thes Advanced Network Initiative (ANI) network and testbed 5 ,DOE Magellan Project [17]. The ANI Network is a prototype

  1. Seven Deadliest Network Attacks

    SciTech Connect (OSTI)

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

    2010-05-01

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

  2. Reconfigureable network node

    DOE Patents [OSTI]

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

    2008-04-08

    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.

  3. 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

  4. Wireless Network Economics and Games

    E-Print Network [OSTI]

    Huang, Jianwei

    Wireless Network Economics and Games Jianwei Huang Network Communications & Economics Lab-play-games/id642100914! ! · J. Huang and L. Gao, "Wireless Network Pricing," Synthesis Lectures on Communication Networks://jianwei.ie.cuhk.edu.hk/publication/Book/ WirelessNetworkPricing.pdf! ! #12;Why Wireless Economics and Games? #12;Wireless Utopia · Wireless spectrum

  5. Community Cellular Networks

    E-Print Network [OSTI]

    Heimerl, Kurtis

    2013-01-01

    2.1.3 Rural Cellular . . . . . . . . . . . . . . 2.2Community Cellular . . . . . . . . . . . . . . . . .9.1.1Community Cellular Networks 3.1 De?ning Community Cellular

  6. Wireless Network Esercitazioni

    E-Print Network [OSTI]

    Lo Cigno, Renato Antonio

    Wireless Network Esercitazioni Alessandro Villani avillani@science.unitn.it #12;Ethereal #12 wireless LAN (WLAN) Non è ancora realmente utilizzato Scaricabile all'indirizzo: http

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

    E-Print Network [OSTI]

    Schoenebeck, Grant

    2013-01-01

    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...

  8. 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

  9. Survivability Considerations in Wireless Networks

    E-Print Network [OSTI]

    Ning, Jianxia

    2012-01-01

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

  10. Enhancing network robustness via shielding

    E-Print Network [OSTI]

    Zhang, Jianan, S.M. Massachusetts Institute of Technology

    2014-01-01

    Shielding critical links enhances network robustness and provides a new way of designing robust networks. We first consider shielding critical links to guarantee network connectivity after any failure under geographical ...

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

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

    for Advanced Mathematics for Energy Research Applications, known as CAMERA. "To manage big data you need several things: fast algorithms, really good software and workflow...

  12. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDidDevelopmentataboutScalablePhysicist: Christian

  13. ESnet Staff to Host Hands-on perfSONAR Workshop at Grace Hopper Conference

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HAB PacketDieselAbsorptionPowering6106Meeting OrganizesStaff to

  14. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HAB PacketDieselAbsorptionPowering6106Meetingsupports SandiaMichael

  15. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HAB PacketDieselAbsorptionPowering6106Meetingsupports

  16. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HABFES October 27th,EnvironmentalEqual EmploymentEvolution of Research

  17. ESnet's Eli Dart, NERSC's Brent Draney Honored by Berkeley Lab Director for

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDid you not find what you wereDisclaimersMail Requests

  18. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION

  19. Deep Lambertian Networks Introduction

    E-Print Network [OSTI]

    Toronto, University of

    Deep Lambertian Networks Introduction Learns distributions over 3D object shapes from sets of 2D-shot recognition possible Uses multiplicative interactions to approximate the Lambertian reflectance model Deep 30 50 Experiments Deep Lambertian Networks Inference Samples from albedo DBN Face Relighting Simple

  20. Miniaturized wireless sensor network

    E-Print Network [OSTI]

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

    2010-01-01

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

  1. Water Network Design by MINLP

    E-Print Network [OSTI]

    2008-02-12

    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 ...

  2. Software Defined Networking (SDN) Project

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

    Networking (SDN) Project Energy sector-focused SDN flow controller to manage control system networks centrally and securely Background Traditional information technology (IT)...

  3. Siphons in Chemical Reaction Networks

    E-Print Network [OSTI]

    Shiu, Anne; Sturmfels, Bernd

    2010-01-01

    strongly-connected chemical reaction, and the compu- tationcredited. Siphons in Chemical Reaction Networks Referencesto persistence analysis in chemical reaction networks. In:

  4. The Future of Network Neutrality

    E-Print Network [OSTI]

    Guttentag, Mikhail

    2009-01-01

    November 3, 2007). Print. The Future of Network Neutralityappeali.html>. The Future of Network Neutrality 19 ———. "Books, 2006. Print. ———. The Future of Ideas. New York, NY:

  5. Wireless Networking | ornl.gov

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

    Wireless Networking A PDF version of these instructions is also available. As a visitor to Oak Ridge National Laboratory (ORNL), access to the ORNL wireless network is available...

  6. Fault localization in backbone networks

    E-Print Network [OSTI]

    Kompella, Ramana Rao

    2007-01-01

    imperfections stem from inherent churn in the network andtrack the network and therefore exhibit churn. The IPFLdriven, and copes with churn by reloading multiple times

  7. Collective network routing

    DOE Patents [OSTI]

    Hoenicke, Dirk

    2014-12-02

    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.

  8. 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)

    2011-03-14

    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.

  9. THE UK'S INNOVATION NETWORK KNOWLEDGE TRANSFER NETWORK

    E-Print Network [OSTI]

    ­ Support available from the Innovation Network Brian J. McCarthy ­ Knowledge Transfer Manager ­ Materials, entrepreneurs, academics and funders to develop new products and services. We help business to grow the economy people together `to make magic happen' 6,000+ Delegates per year #12;PAGE6 The KTN Structure · Materials

  10. 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

  11. Deep Belief Networks The New Generation of Neural Networks1

    E-Print Network [OSTI]

    Hernández Lobato, José Miguel

    Deep Belief Networks The New Generation of Neural Networks1 Jos´e Miguel Hern´andez Lobato This presentation is mainly based on the work by Geoffrey E. Hinton. 1 / 28 #12;Deep Belief Networks Outline 1 Boltzmann Machines 2 Restricted Boltzmann Machines 3 Deep Belief Networks 4 Applications of Deep Belief

  12. Supervised Learning in Neural Networks without Feedback Networks

    E-Print Network [OSTI]

    Lin, Feng

    Supervised Learning in Neural Networks without Feedback Networks Robert D. Brandt and Feng Lin Abstract In this paper, we study the supervised learning in neural networks. Unlike the com- mon practice (hardware) implementation of arti cial neural networks. This research is supported in part by the National

  13. 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

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

    E-Print Network [OSTI]

    Médard, 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

  15. Network Coding-Based Protection Scheme for Elastic Optical Networks

    E-Print Network [OSTI]

    Politècnica de Catalunya, Universitat

    speed transmissions achieved in fiber optical networks. Traditional optical networks consist of a fixed. Recently, optical networks are undergoing significant changes with the purpose of providing a flexible grid with protection schemes for the purpose of reducing power consumption. An additional goal for network providers

  16. Introduction to Network Science 1 Introduction to Network Science

    E-Print Network [OSTI]

    Safro, Ilya

    Introduction to Network Science 1 Introduction to Network Science Instructor: Ilya Safro, 228 McAdams Hall Course: Introduction to Network Science, CP SC 481/681/881 Time: 9:30-10:45 TTh Place: 211 Daniel A 80 B 60 C 0 F #12;Introduction to Network Science 2 Recommended Books (optional) #12;Introduction

  17. Network Dynamics of City Sizes, Trade Networks, and Conflict

    E-Print Network [OSTI]

    White, Douglas R.

    Network Dynamics of City Sizes, Trade Networks, and Conflict Doug White In collaboration world, scale-free ­ but they are not going to get us where we need to go What are the possibilites: city size hierarchies and how they are likely to be driven by trade networks Network realism

  18. Optical Network Testbeds Workshop

    SciTech Connect (OSTI)

    Joe Mambretti

    2007-06-01

    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.

  19. Network aware distributed applications

    SciTech Connect (OSTI)

    Agarwal, Deborah [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Tierney, Brian L. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Gunter, Dan [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Lee, Jason [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Johnston, William [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

    2001-02-04

    Most distributed applications today manage to utilize only a small percentage of the needed and available network bandwidth. Often application developers are not aware of the potential bandwidth of the network, and therefore do not know what to expect. Even when application developers are aware of the specifications of the machines and network links, they have few resources that can help determine why the expected performance was not achieved. What is needed is a ubiquitous and easy-to-use service that provides reliable, accurate, secure, and timely estimates of dynamic network properties. This service will help advise applications on how to make use of the network's increasing bandwidth and capabilities for traffic shaping and engineering. When fully implemented, this service will make building currently unrealizable levels of network awareness into distributed applications a relatively mundane task. For example, a remote data visualization application could choose between sending a wireframe, a pre-rendered image, or a 3-D representation, based on forecasts of CPU availability and power, compression options, and available bandwidth. The same service will provide on-demand performance information so that applications can compare predicted with actual results, and allow detailed queries about the end-to-end path for application and network tuning and debugging.

  20. A quantum access network

    E-Print Network [OSTI]

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

    2014-09-02

    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.

  1. Connectivity in the Yeast Cell Cycle Transcription Network: Inferences from Neural Networks

    E-Print Network [OSTI]

    Hart, Christopher E; Mjolsness, Eric; Wold, Barbara J

    2006-01-01

    Issue 12 | e169 Neural Network Model of Yeast Transcription27. Bishop C (1995) Neural networks for pattern recognition.Network: Inferences from Neural Networks Christopher E. Hart

  2. Thermal network reduction

    SciTech Connect (OSTI)

    Balcomb, J.D.

    1983-01-01

    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. Thermal network reduction

    SciTech Connect (OSTI)

    Balcomb, J.D.

    1983-06-01

    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.

  4. Mechanical Response of Cytoskeletal Networks

    E-Print Network [OSTI]

    Gardel, Margaret

    CHAPTER 19 Mechanical Response of Cytoskeletal Networks Margaret L. Gardel,* Karen E. Kasza, Cli Fluctuation Approaches B. In Vitro MT Networks C. Mechanics of Microtubules in Cells V. Intermediate Filament Networks A. Introduction B. Mechanics of IFs C. Mechanics of Networks VI. Conclusions and Outlook

  5. Network computing : limits and achievability

    E-Print Network [OSTI]

    Karamchandani, Nikhil

    2011-01-01

    wireless sensor networks (WSN). Data measurements (such asnetworking protocols for WSN is hard [24], therefore

  6. CLIMATE NETWORKS The Azimuth Project

    E-Print Network [OSTI]

    Baez, John

    CLIMATE NETWORKS The Azimuth Project John Baez, Jan Galkowski, Graham Jones, Nadja Kutz, Daniel: The network of global corporate control #12;In Complex Networks in Climate Dynamics, Donges et al took daily Networks in Climate Dynamics, Donges et al took daily surface air temperatures on a grid and computed

  7. Mesoscale Analyses of Fungal Networks

    E-Print Network [OSTI]

    Lee, Sang Hoon; Porter, Mason A

    2014-01-01

    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.

  8. Precision Irrigators Network 

    E-Print Network [OSTI]

    Bynum, J.; Cothren, T.; Marek, T.; Piccinni, G.

    2007-01-01

    conservation including an "Agricultural Irrigation Water Use Management" BMPs section. The full TWDB Report 362 can be found at: http://www.twdb.state.tx.us/assistance/conservation/consindex.asp. DSS include the Texas High Plains Evapotranspiration Network...

  9. Guest Editorial Overlay networks

    E-Print Network [OSTI]

    Touch, Joe

    of house or to selected business partners. VNs are often distinguished by their use of tunnels, enS-based overlay networks. It virtualizes routers to deploy a virtual backbone with translation gateways to convert

  10. Network medicine Tony Pawsona

    E-Print Network [OSTI]

    strategies can be imple- mented. Transforming medicine into a network driven endeavour will require development. The average price of bringing a drug to market is now approximately 860M USD [1

  11. Computer Systems Network Programming"

    E-Print Network [OSTI]

    /out of the house! Socket as an Application Programming Interface! n Supports the creation of network applications (e.g., render a Web page)! Close the socket! ­ 12 ­! Servers Differ From Clients" Passive open! n

  12. Wireless Network Esercitazioni

    E-Print Network [OSTI]

    Lo Cigno, Renato Antonio

    Wireless Network Esercitazioni Alessandro Villani avillani@science.unitn.it #12;WEP Cracking #12 (Nomina sunt consequentia rerum) quello di fornire sul canale wireless un livello di sicurezza equivalente

  13. Systematic wireless network coding

    E-Print Network [OSTI]

    Shrader, Brooke E.

    We present a systematic network coding strategy for cooperative communication, in which some nodes may replicate-and-forward packets in addition to sending random linear combinations of the packets. We argue that if this ...

  14. Wireless Network Esercitazioni

    E-Print Network [OSTI]

    Lo Cigno, Renato Antonio

    Wireless Network Esercitazioni Alessandro Villani avillani@science.unitn.it #12;Wireless Router WRT54G LINKSYS #12;WRT54G È un router Wireless: 1 porta Ethernet verso la LAN esterna 4 porte Ethernet

  15. Optimization in Networks

    E-Print Network [OSTI]

    Adilson E. Motter; Zoltan Toroczkai

    2007-07-07

    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.

  16. The Tenet Architecture for Tiered Sensor Networks

    E-Print Network [OSTI]

    2006-01-01

    a sensor network architecture: Lowering the waistline. InJ. Hill et al. System architecture directions for networkThe Tenet Architecture for Tiered Sensor Networks Omprakash

  17. Misbehavior in a Neural Network Model

    E-Print Network [OSTI]

    Burgos, José E

    2015-01-01

    Rodríguez, E. (2007). Neural-network simulations of twodiscipline of will. Neural Networks, 19, 1153–1160. http://E. R. Staddon (Eds. ), Neural network models of conditioning

  18. Solos (Dice Game) and Conductor (Neural Network)

    E-Print Network [OSTI]

    Marquetti, Andre

    2015-01-01

    vice versa). Figure 6.1 Neural Network keyboard input styleamplitude, pitch-class, neural network key patterns dependconvergence with the neural network does not depend on the

  19. Detecting Network Vulnerabilities Through Graph Theoretical Methods

    E-Print Network [OSTI]

    2007-01-01

    Introduction The electric power grid network is susceptibleProblem We model electric power grid networks as undirectedlines in the electric power grid network. Because of the

  20. Network topology mapper

    DOE Patents [OSTI]

    Quist, Daniel A. (Los Alamos, NM); Gavrilov, Eugene M. (Los Alamos, NM); Fisk, Michael E. (Jemez, NM)

    2008-01-15

    A method enables the topology of an acyclic fully propagated network to be discovered. A list of switches that comprise the network is formed and the MAC address cache for each one of the switches is determined. For each pair of switches, from the MAC address caches the remaining switches that see the pair of switches are located. For each pair of switches the remaining switches are determined that see one of the pair of switches on a first port and the second one of the pair of switches on a second port. A list of insiders is formed for every pair of switches. It is determined whether the insider for each pair of switches is a graph edge and adjacent ones of the graph edges are determined. A symmetric adjacency matrix is formed from the graph edges to represent the topology of the data link network.

  1. Evolving Complex Networks: The Backbone of the Climate Network

    E-Print Network [OSTI]

    Maryland at College Park, University of

    · Network topology changes due to natural dynamics (internal, external) #12;#12;Strong El Nino event #12;Our

  2. Maximizing Static Network Lifetime of Wireless Broadcast Adhoc Networks

    E-Print Network [OSTI]

    Poovendran, Radha

    of the important applications of wireless static adhoc net- works includes wireless sensor networks. The technology- cast routing over wireless static adhoc network where host mobility is not involved. We define the lifetime of a network as the dura- tion of time until the first node failure due to battery depletion. We

  3. Tidal networks 2. Watershed delineation and comparative network morphology

    E-Print Network [OSTI]

    Fagherazzi, Sergio

    of three, we quantify various tidal network properties including common power law relationships which have common power law relationships quantified for terrestrial systems to tidal systems and use these analysesTidal networks 2. Watershed delineation and comparative network morphology Andrea Rinaldo,1 Sergio

  4. MMS: An Autonomic Network-Layer Foundation for Network Management

    E-Print Network [OSTI]

    Ng, T. S. Eugene

    secured, and/or suboptimal in performance. This paper presents the design and implementation of the Meta-Management1 MMS: An Autonomic Network-Layer Foundation for Network Management Hemant Gogineni, Albert Research §Rice University Abstract-- Networks cannot be managed without management plane communications

  5. 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

  6. Cooperative Diversity Routing in Wireless Networks

    E-Print Network [OSTI]

    Paris-Sud XI, Université 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

  7. 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

  8. Network coding for speedup in switches

    E-Print Network [OSTI]

    Kim, MinJi, M. Eng. Massachusetts Institute of Technology

    2007-01-01

    Network coding, which allows mixing of data at intermediate network nodes, is known to increase the throughput of networks. In particular, it is known that linear network coding in a crossbar switch can sustain traffic ...

  9. Searching for 2D Spatial Network Holes 

    E-Print Network [OSTI]

    Reitsma, Femke; Engel, Shane

    2004-01-01

    Research involving different forms of networks, such as internet networks, social networks, and cellular networks, has increasingly become an important field of study. From this work, a variety of different scaling laws ...

  10. Towards secure multiresolution network coding

    E-Print Network [OSTI]

    Medard, Muriel

    Emerging practical schemes indicate that algebraic mixing of different packets by means of random linear network coding can increase the throughput and robustness of streaming services over wireless networks. However, ...

  11. Network coding for anonymous broadcast

    E-Print Network [OSTI]

    Sergeev, Ivan A

    2013-01-01

    This thesis explores the use of network coding for anonymous broadcast. Network coding, the technique of transmitting or storing mixtures of messages rather than individual messages, can provide anonymity with its mixing ...

  12. Intervention in gene regulatory networks 

    E-Print Network [OSTI]

    Choudhary, Ashish

    2006-10-30

    In recent years Boolean Networks (BN) and Probabilistic Boolean Networks (PBN) have become popular paradigms for modeling gene regulation. A PBN is a collection of BNs in which the gene state vector transitions according to the rules of one...

  13. The Future of Network Neutrality

    E-Print Network [OSTI]

    Guttentag, Mikhail

    2009-01-01

    Internet, “the fastest growing communications network in history, [The Internet is the most open network in history. We have towell as its history seen through two major ideas of Internet

  14. Science DMZ Opens Doors to More Science, More Collaboration

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

    Opens Doors to More Science, More Collaboration News & Publications ESnet News Media & Press Publications and Presentations Galleries ESnet Awards and Honors Contact Us Media Jon...

  15. New PerfSONAR Updates Showcased at 2015 Technology Exchange

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

    New PerfSONAR Updates Showcased at 2015 Technology Exchange News & Publications ESnet News Media & Press Publications and Presentations Galleries ESnet Awards and Honors Contact Us...

  16. Berkeley Lab Climate Software Honored for Pattern Recognition...

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

    Climate Software Honored for Pattern Recognition Advances News & Publications ESnet News Media & Press Publications and Presentations Galleries ESnet Awards and Honors Contact Us...

  17. Spectral Decomposition of Signaling Networks

    E-Print Network [OSTI]

    2006-01-01

    expressed. Signaling networks modeled as Petri nets are onenetwork. Although the results are limited to the Petri net

  18. Optimal synchronization of complex networks

    E-Print Network [OSTI]

    Per Sebastian Skardal; Dane Taylor; Jie Sun

    2014-10-17

    We study optimal synchronization in networks of heterogeneous phase oscillators. Our main result is the derivation of a synchrony alignment function that encodes the interplay between network structure and oscillators' frequencies and can be readily optimized. We highlight its utility in two general problems: constrained frequency allocation and network design. In general, we find that synchronization is promoted by strong alignments between frequencies and the dominant Laplacian eigenvectors, as well as a matching between the heterogeneity of frequencies and network structure.

  19. Network Operating Systems Partha Dasgupta

    E-Print Network [OSTI]

    Dasgupta, Partha

    Network Operating Systems Partha Dasgupta Department of Computer Science and Engineering Arizona of Electrical Engineering] 1. Introduction Network Operating Systems extend the facilities and services provided by computer operating systems to support a set of computers, connected by a network. The environment managed

  20. Radu Calin Dimitriu NEURAL NETWORKS,

    E-Print Network [OSTI]

    Cambridge, University of

    Radu Calin Dimitriu NEURAL NETWORKS, TRICKS OF THE TRADE #12;BEFORE STARTING THE TRAINING A DATABASE FOR A NEURAL NETWORK THIS WILL ENSURE SUFFICIENT DATA AND VARIABLES TO CAPTURE THE COMPLEXITY IN THE DATABASE IF YOU DO NOT KNOW HOW THEY ARE RELATED TO THE OUTPUT, THE NEURAL NETWORK MAY NEVERTHELESS

  1. Symbolic Representation of Neural Networks

    E-Print Network [OSTI]

    Liu, Huan

    Draft Symbolic Representation of Neural Networks Rudy Setiono and Huan Liu Department,liuhg@iscs.nus.sg Abstract Although backpropagation neural networks generally predict better than decision trees do is needed by human experts. This work drives a sym­ bolic representation for neural networks to make

  2. Parallel HSL port Control Network

    E-Print Network [OSTI]

    Glück, Olivier

    Parallel HSL port FastHSL board HSL links Ethernet Control Network Node 1 PC mother board PCI Bus PCI-DDC Rcube PC mother board Node 3 PCI-DDC Rcube Node 2 PC mother board PCI-DDC Rcube THE MPC is the HSL network router, and PCI-DDC the network controller implementing the Direct Deposit State Less

  3. Green Networking Basem Shihada

    E-Print Network [OSTI]

    Shihada, Basem

    ;Computing and Networking Trends Bell's Law*: Every decade sees a change in the class of computing devices in the cloud. * Bells Law of Computer Classes formulated by Gordon Bell in 1972, describes how types connectivity and load will fluctuate rapidly, both in space and time. #12;ICT Energy Consumption Trends

  4. Transactional Network Platform: Applications

    SciTech Connect (OSTI)

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

    2013-10-31

    In FY13, Pacific Northwest National Laboratory (PNNL) with funding from the Department of Energy’s (DOE’s) 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.

  5. Jamming in Hierarchical Networks

    E-Print Network [OSTI]

    Xiang Cheng; Stefan Boettcher

    2014-09-29

    We study the Biroli-Mezard model for lattice glasses on a number of hierarchical networks. These networks combine certain lattice-like features with a recursive structure that makes them suitable for exact renormalization group studies. In our numerical simulations here, we first explore their equilibrium properties with the Wang-Landau algorithm. Then, we investigate their dynamical behavior using a grand-canonical annealing algorithm. We find that the dynamics readily falls out of equilibrium and jams in many of our networks with certain constraints on the neighborhood occupation imposed by the Biroli-Mezard model, even in cases where exact results indicate that no ideal glass transition exists. But while we find that time-scales for the jams diverge, our simulations can not ascertain such a divergence for a packing fraction that would distinctly above random close packing. In cases where we allow hopping in our dynamical simulations, the jams on these networks generally disappear, in contrast to what has been found in lattices simulations previously.

  6. 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 ...

  7. Microsystem process networks

    DOE Patents [OSTI]

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

    2010-01-26

    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. Microsystem process networks

    DOE Patents [OSTI]

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

    2007-09-18

    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.

  9. Microsystem process networks

    DOE Patents [OSTI]

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

    2006-10-24

    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.

  10. Essays on Network Formation 

    E-Print Network [OSTI]

    Mueller, William Graham

    2012-10-19

    are examined and I determine what networks, if any, each model may converge to in the limit. The long-run behavior of each model is examined through the use of simulations and compared to one another. I find that amount and type of information agents have...

  11. Wireless Network Esercitazioni

    E-Print Network [OSTI]

    Lo Cigno, Renato Antonio

    Wireless Network Esercitazioni Alessandro Villani avillani@science.unitn.it #12;Reti Ad Hoc #12;Reti Ad Hoc (IBSS) Tipicamente le wireless LANs che conosciamo utilizzano la modalità "infrastrutturata Hoc (IBSS) La modalità Ad Hoc permette agli utenti di costituire una wireless LAN autonomamente

  12. Wireless Network Esercitazioni

    E-Print Network [OSTI]

    Lo Cigno, Renato Antonio

    Wireless Network Esercitazioni Alessandro Villani avillani@science.unitn.it #12;Configurazione AP sito CISCO: http://www.cisco.com/public/sw-center/sw- wireless.shtml La versione attuale è: c1200-k9w7;AP 1200: Configurazione Wireless Ruolo in una rete Wireless: Root o repeater Speed: Basic: traffico

  13. Resilience of Networks Formed of Interdependent Modular Networks

    E-Print Network [OSTI]

    Shekhtman, Louis; Havlin, Shlomo

    2015-01-01

    Many infrastructure networks have a modular structure and are also interdependent. While significant research has explored the resilience of interdependent networks, there has been no analysis of the effects of modularity. Here we develop a theoretical framework for attacks on interdependent modular networks and support our results by simulations. We focus on the case where each network has the same number of communities and the dependency links are restricted to be between pairs of communities of different networks. This is very realistic for infrastructure across cities. Each city has its own infrastructures and different infrastructures are dependent within the city. However, each infrastructure is connected within and between cities. For example, a power grid will connect many cities as will a communication network, yet a power station and communication tower that are interdependent will likely be in the same city. It has been shown that single networks are very susceptible to the failure of the interconn...

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

    E-Print Network [OSTI]

    Bathula, Balagangadhar G

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

  15. 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 (47KB) BES Budget BES Committees of Visitors Directions Jobs Organizational...

  16. 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 Networks Duke Energy Gas Pipeline Network Transportation, Communication, and Energy Networks #12;Components of Networks · The Transportation Network Equilibriumn Problem and Methodological Tools · The Braess Paradox

  17. Tensor Network Renormalization

    E-Print Network [OSTI]

    Glen Evenbly; Guifre Vidal

    2015-04-21

    We introduce a coarse-graining transformation for tensor networks that can be applied to study both the partition function of a classical statistical system and the Euclidean path integral of a quantum many-body system. The scheme is based upon the insertion of optimized unitary and isometric tensors (disentanglers and isometries) into the tensor network and has, as its key feature, the ability to remove short-range entanglement/correlations at each coarse-graining step. Removal of short-range entanglement results in scale invariance being explicitly recovered at criticality. In this way we obtain a proper renormalization group flow (in the space of tensors), one that in particular (i) is computationally sustainable, even for critical systems, and (ii) has the correct structure of fixed points, both at criticality and away from it. We demonstrate the proposed approach in the context of the 2D classical Ising model.

  18. Rheology of fractal networks

    E-Print Network [OSTI]

    Pedro Patricio; Catarina R. Leal; Jorge Duarte; Cristina Januario

    2015-08-03

    We model the cytoskeleton as a fractal network by identifying each segment with a simple Kelvin-Voigt element, with a well defined equilibrium length. The final structure retains the elastic characteristics of a solid or a gel, which may support stress, without relaxing. By considering a very simple regular self-similar structure of segments in series and in parallel, in 1, 2 or 3 dimensions, we are able to express the viscoelasticity of the network as an effective generalised Kelvin-Voigt model with a power law spectrum of retardation times, $\\cal L\\sim\\tau^{\\alpha}$. We relate the parameter $\\alpha$ with the fractal dimension of the gel. In some regimes ($0power law behaviours of the elastic and viscous moduli with the angular frequencies, $G'\\sim G''\\sim w^\\alpha$, that occur in a variety of soft materials, including living cells. In other regimes, we find different power laws for $G'$ and $G''$.

  19. 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)

    2008-06-10

    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.

  20. Transactional Network Overview

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankADVANCEDInstallers/ContractorsPhotovoltaicsState ofSavings forTitleJuly 2012PumpingTransactional Network

  1. Rheology of fractal networks

    E-Print Network [OSTI]

    Patricio, Pedro; Duarte, Jorge; Januario, Cristina

    2015-01-01

    We investigate the rheology of a fractal network, in the framework of the linear theory of viscoelasticity. We identify each segment of the network with a simple Kelvin-Voigt element, with a well defined equilibrium length. The final structure retains the elastic characteristics of a solid or a gel. By considering a very simple regular self-similar structure of segments in series and in parallel, in 1, 2 or 3 dimensions, we are able to express the viscoelasticity of the network as an effective generalised Kelvin-Voigt model with a power law spectrum of retardation times, $\\phi\\sim\\tau^{\\alpha-1}$. We relate the parameter $\\alpha$ with the fractal dimension of the gel. In some regimes ($0power law behaviours of the elastic and viscous moduli with the angular frequencies, $G'\\sim G''\\sim w^\\alpha$, that occur in a variety of soft materials, including living cells. In other regimes, we find different and interesting power laws for $G'$ and $G''$.

  2. Insecurity of Wireless Networks

    SciTech Connect (OSTI)

    Sheldon, Frederick T; Weber, John Mark; Yoo, Seong-Moo; Pan, W. David

    2012-01-01

    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.

  3. Web Services Dependency Networks Analysis

    E-Print Network [OSTI]

    Cherifi1, Chantal; Santucci, Jean-François

    2013-01-01

    Along with a continuously growing number of publicly available Web services (WS), we are witnessing a rapid development in semantic-related web technologies, which lead to the apparition of semantically described WS. In this work, we perform a comparative analysis of the syntactic and semantic approaches used to describe WS, from a complex network perspective. First, we extract syntactic and semantic WS dependency networks from a collection of publicly available WS descriptions. Then, we take advantage of tools from the complex network field to analyze them and determine their topological properties. We show WS dependency networks exhibit some of the typical characteristics observed in real-world networks, such as small world and scale free properties, as well as community structure. By comparing syntactic and semantic networks through their topological properties, we show the introduction of semantics in WS description allows modeling more accurately the dependencies between parameters, which in turn could l...

  4. Eradicating Computer Viruses on Networks

    E-Print Network [OSTI]

    Huang, Jinyu

    2012-01-01

    Spread of computer viruses can be modeled as the SIS (susceptible-infected-susceptible) epidemic propagation. We show that in order to ensure the random immunization or the targeted immunization effectively prevent computer viruses propagation on homogeneous networks, we should install antivirus programs in every computer node and frequently update those programs. This may produce large work and cost to install and update antivirus programs. Then we propose a new policy called "network monitors" to tackle this problem. In this policy, we only install and update antivirus programs for small number of computer nodes, namely the "network monitors". Further, the "network monitors" can monitor their neighboring nodes' behavior. This mechanism incur relative small cost to install and update antivirus programs.We also indicate that the policy of the "network monitors" is efficient to protect the network's safety. Numerical simulations confirm our analysis.

  5. Fiber networks amplify active stress

    E-Print Network [OSTI]

    Pierre Ronceray; Chase Broedersz; Martin Lenz

    2015-07-22

    Large-scale force generation is essential for biological functions such as cell motility, embryonic development, and muscle contraction. In these processes, forces generated at the molecular level by motor proteins are transmitted by disordered fiber networks, resulting in large-scale active stresses. While these fiber networks are well characterized macroscopically, this stress generation by microscopic active units is not well understood. Here we theoretically study force transmission in these networks, and find that local active forces are rectified towards isotropic contraction and strongly amplified as fibers collectively buckle in the vicinity of the active units. This stress amplification is reinforced by the networks' disordered nature, but saturates for high densities of active units. Our predictions are quantitatively consistent with experiments on reconstituted tissues and actomyosin networks, and shed light on the role of the network microstructure in shaping active stresses in cells and tissue.

  6. Bond percolation on multiplex networks

    E-Print Network [OSTI]

    Hackett, A; Gómez, S; Arenas, A; Gleeson, J P

    2015-01-01

    We present an analytical approach for bond percolation on multiplex networks and use it to determine the expected size of the giant connected component and the value of the critical bond occupation probability in these networks. We advocate the relevance of these tools to the modeling of multilayer robustness and contribute to the debate on whether any benefit is to be yielded from studying a full multiplex structure as opposed to its monoplex projection, especially in the seemingly irrelevant case of a bond occupation probability that does not depend on the layer. Although we find that in many cases the predictions of our theory for multiplex networks coincide with previously derived results for monoplex networks, we also uncover the remarkable result that for a certain class of multiplex networks, well described by our theory, new critical phenomena occur as multiple percolation phase transitions are present. We provide an instance of this phenomenon in a multipex network constructed from London rail and Eu...

  7. Views of wireless network systems.

    SciTech Connect (OSTI)

    Young, William Frederick; Duggan, David Patrick

    2003-10-01

    Wireless networking is becoming a common element of industrial, corporate, and home networks. Commercial wireless network systems have become reliable, while the cost of these solutions has become more affordable than equivalent wired network solutions. The security risks of wireless systems are higher than wired and have not been studied in depth. This report starts to bring together information on wireless architectures and their connection to wired networks. We detail information contained on the many different views of a wireless network system. The method of using multiple views of a system to assist in the determination of vulnerabilities comes from the Information Design Assurance Red Team (IDART{trademark}) Methodology of system analysis developed at Sandia National Laboratories.

  8. Logistical Networking Sharing More than the Wires

    E-Print Network [OSTI]

    Plank, Jim

    1 Logistical Networking Sharing More than the Wires Micah Beck, Terry Moore, Jim Plank, Martin: logistical networking, active networking, storage, caching, electronic mail Abstract: Logistical Networking into account all the network's underlying physical resources. In this paper we contrast Logistical and Active

  9. Network Layer Routing -II Yatindra Nath Singh

    E-Print Network [OSTI]

    Singh Yatindra Nath

    networks e.g., Ethernet, point-to-point network, networks which have their own routing protocols. Broadcast network Gateway Point-to-point link Network Arbitrary Gateway Gateway Gateway Fig.2.1 4 #12;' & $ within the existing, the routing table entry is updated. 8 #12;' & $ This gives the increamental update of routing

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

    SciTech Connect (OSTI)

    Ali Namazi; Babak Azimi-Sadjadi; Chujen Lin

    2012-06-14

    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.

  11. Network Creation: Overview Christian Borgelt

    E-Print Network [OSTI]

    Borgelt, Christian

    ´errez Quir´os s/n, E-33600 Mieres (Asturias), Spain christian.borgelt@softcomputing.es Although networks

  12. Deterministic Scale-Free Networks

    E-Print Network [OSTI]

    Albert-Laszlo Barabasi; Erzsebet Ravasz; Tamas Vicsek

    2002-02-06

    Scale-free networks are abundant in nature and society, describing such diverse systems as the world wide web, the web of human sexual contacts, or the chemical network of a cell. All models used to generate a scale-free topology are stochastic, that is they create networks in which the nodes appear to be randomly connected to each other. Here we propose a simple model that generates scale-free networks in a deterministic fashion. We solve exactly the model, showing that the tail of the degree distribution follows a power law.

  13. Power network analysis and optimization

    E-Print Network [OSTI]

    Zhang, Wanping

    2009-01-01

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

  14. Communication in Home Area Networks

    E-Print Network [OSTI]

    Wang, Yubo

    2012-01-01

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

  15. Imprinted Networks as Chiral Pumps

    E-Print Network [OSTI]

    Y. Mao; M. Warner

    2001-01-12

    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.

  16. Fusion Energy Sciences Network Requirements

    E-Print Network [OSTI]

    Dart, Eli

    2014-01-01

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

  17. Communication in Home Area Networks

    E-Print Network [OSTI]

    Wang, Yubo

    2012-01-01

    of smart home energy management systems based on zigbee”,Networks Enabling Energy Management Systems ”, Universities'Profile HV Home Energy Management System High Voltage SNR

  18. Mobility in Wireless Sensor Networks

    E-Print Network [OSTI]

    Mehta, Ankur Mukesh

    2012-01-01

    4 Wireless Protocol Modifications 4.1contains a distributed wireless network with per- vasiveprocessing, control, and wireless communication on a board

  19. 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

  20. Network interdiction with budget constraints

    SciTech Connect (OSTI)

    Santhi, Nankakishore; Pan, Feng

    2009-01-01

    Several scenarios exist in the modern interconnected world which call for efficient network interdiction algorithms. Applications are varied, including computer network security, prevention of spreading of Internet worms, policing international smuggling networks, controlling spread of diseases and optimizing the operation of large public energy grids. In this paper we consider some natural network optimization questions related to the budget constrained interdiction problem over general graphs. Many of these questions turn out to be computationally hard to tackle. We present a particularly interesting practical form of the interdiction question which we show to be computationally tractable. A polynomial time algorithm is then presented for this problem.

  1. US EPA Regional Laboratory Network

    E-Print Network [OSTI]

    LABORATORY NETWORK List of Acronyms AMD ............Acid Mine Drainage BNA..............Base/Neutrals and Acids Extractable Organics BMP.............Best Management Practice BOD .............Biological Oxygen

  2. Covert Communication Networks 

    E-Print Network [OSTI]

    Nix, Timothy Glen

    2013-08-02

    using shared keys assigned by the blender when a new jondo joins the crowd. Tor is the most popular anonymous communications system in use and is known as the second-generation onion router due to the fact that it is based on, and makes several modi... cations to the original onion routing design in terms of security, e - ciency, and deployability [17]. Tor uses a small set of trusted directory servers in order to distribute information about known onion routers in the network. In order to create a...

  3. BER 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room News PublicationsAudits & Inspections Audits &driversNetwork Requirements Report of the

  4. Exploiting Network Parallelism

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HABFES OctoberEvan Racah Evan-5 Beamline 1-5 isExploiting Network

  5. Science-Driven 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation ofAlbuquerque| StanfordOffice of Science (SC)Science-Driven Network

  6. Inside the Social Network's (Datacenter) Network Arjun Roy, Hongyi Zeng

    E-Print Network [OSTI]

    Zhou, Yuanyuan

    Inside the Social Network's (Datacenter) Network Arjun Roy, Hongyi Zeng , Jasmeet Bagga , George datacenters to house the computing infrastructure re- quired to support their services. Accordingly to efficiently interconnect and manage the traffic within these datacenters in perfor- mant yet efficient

  7. 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

  8. Network Theory II: Stochastic Petri Nets, Chemical Reaction Networks

    E-Print Network [OSTI]

    Baez, John

    Network Theory II: Stochastic Petri Nets, Chemical Reaction Networks and Feynman Diagrams John Baez, Jacob Biamonte, Brendan Fong #12;A Petri net is a way of drawing a finite set S of species, a finite set(recovery) = infected t(recovery) = resistant #12;A Petri net is actually a way of presenting a symmetric monoidal

  9. Wireless Networks wireless ad-hoc and mesh networks

    E-Print Network [OSTI]

    Biagioni, Edoardo S.

    instead of radio waves Wireless Sensor Networks the Internet of Things, IoT #12;wireless mesh networks radio on and receiving a packet requires the most but even leaving on the radio still uses energy keep the radio off as much as possible, limit the number of packets sent hard to know when to turn on the radio

  10. Controlling Across Complex Networks Emerging links between networks and control

    E-Print Network [OSTI]

    , and Electrical Engineering University of New Mexico, Albuquerque NM 87131. Sandia National Laboratories communication network infrastructure into our designs; for example, we now consider the impact of link capacity as biology, computer science, physics, and social science. In such a context, networks provide a principled

  11. Behavior Propagation in Cognitive Radio Networks: A Social Network Approach

    E-Print Network [OSTI]

    Qiu, Robert Caiming

    cliques when the spectrum occupancies change. The behavior dynamics have significant impacts on the perfor1 Behavior Propagation in Cognitive Radio Networks: A Social Network Approach Husheng Li, Ju Bin differential equation are used to explicitly describe the dynamics of behavior propagation. The analytic

  12. Understanding Online Social Network Usage from a Network Perspective

    E-Print Network [OSTI]

    Greenberg, Albert

    actually inter- act with OSNs by extracting clickstreams from passively monitored network traffic. Our characterization of user interactions within the OSN for four different OSNs (Facebook, LinkedIn, Hi5, and Stu- di Online Social Networks (OSNs) such as Facebook, MySpace, LinkedIn, Hi5, and StudiVZ, have become popular

  13. Quality-of-Information Aware Networking for Tactical Military Networks

    E-Print Network [OSTI]

    Yener, Aylin

    for a required quality of information when selecting information sources, transporting information through the need for a general, but formal, definition of quality- of-information so that this metric may of Information (QoI)-aware networking that seeks to model the network as an information source and directly

  14. Network Bandwidth Utilization Forecast Model on High Bandwidth Network

    SciTech Connect (OSTI)

    Yoo, Wucherl; Sim, Alex

    2014-07-07

    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.

  15. Context-aware computing for wireless networks

    E-Print Network [OSTI]

    Ergüt, Salih

    2010-01-01

    Packet Delay in Wireless Networks 2 Client Side Active QueueCellular and Sensor Networks Wireless Positioning Overviewin Mobile, Ad Hoc and Wireless Networks, pages 1–10, 2006. [

  16. 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

  17. Characterizing User Mobility in Wireless Networks

    E-Print Network [OSTI]

    Nunes, Bruno Astuto Arouche

    2012-01-01

    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.

  18. Sensor Networks: Distributed Algorithms Reloaded or Revolutions?

    E-Print Network [OSTI]

    Sensor Networks: Distributed Algorithms Reloaded ­ or Revolutions? Roger Wattenhofer Computer. This paper wants to motivate the distributed algorithms community to study sensor networks. We discuss why community, a sensor network essentially is ­ a database. The distributed algorithms community should join

  19. Efficient flooding for wireless mesh networks

    E-Print Network [OSTI]

    Subramanian, Jayashree, Ph. D. Massachusetts Institute of Technology

    2012-01-01

    Flooding in wireless mesh networks involves distributing some data from one node to rest of the nodes in the network. This dissertation proposes UFlood, a flooding protocol for wireless mesh networks that targets large ...

  20. Multiple Scales in Small-World Networks

    E-Print Network [OSTI]

    Kasturirangan, Rajesh

    1999-08-11

    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 ...

  1. Monotonic Target Assignment for Robotic Networks

    E-Print Network [OSTI]

    Smith, Stephen L; Bullo, Francesco

    2009-01-01

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

  2. Improving performance of TCP over wireless networks 

    E-Print Network [OSTI]

    Mehta, Miten N.

    1998-01-01

    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...

  3. MIXIT: The Network Meets the Wireless Channel

    E-Print Network [OSTI]

    Katti, Sachin

    2007-09-04

    The traditional contract between the network and the lower layers states that the network does routing and the lower layers deliver correct packets. In a wireless network, however, different nodes may hear most bits in a ...

  4. Centre for Defence Communications and Information Networking

    E-Print Network [OSTI]

    Balasuriya, Sanjeeva

    as OUR SUCCESS STORIES · Analysing measurements of operational networks, identifying operational savings DEFENCE NETWORK CAPABILITY ROBUSTNESS | RELIABILITY | EFFICIENCY | SECURITY The Centre for Defence based concentration of defence network analysis capability. CDCIN focusses on the modelling, measurement

  5. HYBRID MODELING OF COMMUNICATION NETWORKS USING MODELICA

    E-Print Network [OSTI]

    Johansson, Karl Henrik

    HYBRID MODELING OF COMMUNICATION NETWORKS USING MODELICA Daniel F¨arnqvist 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

  6. Evolution and statistics of biological regulatory networks

    E-Print Network [OSTI]

    Chandalia, Juhi Kiran, 1979-

    2005-01-01

    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 ...

  7. Mobile Zigbee Sensor Networks

    E-Print Network [OSTI]

    Anantdeep, Er; Kaur, Er Balpreet

    2010-01-01

    OPNET Modeler accelerates network R&D and improves product quality through high-fidelity modeling and scalable simulation. It provides a virtual environment for designing protocols and devices, and for testing and demonstrating designs in realistic scenarios prior to production. OPNET Modeler supports 802.15.4 standard and has been used to make a model of PAN. Iterations have been performed by changing the Power of the transmitter and the throughput will has been analyzed to arrive at optimal values.An energy-efficient wireless home network based on IEEE 802.15.4, a novel architecture has been proposed. In this architecture, all nodes are classified into stationary nodes and mobile nodes according to the functionality of each node. Mobile nodes are usually battery-powered, and therefore need low-power operation. In order to improve power consumption of mobile nodes, effective handover sequence based on MAC broadcast and transmission power control based on LQ (link quality) are employed. Experimental resul...

  8. High Performance Network Monitoring

    SciTech Connect (OSTI)

    Martinez, Jesse E

    2012-08-10

    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.

  9. Programmability of Chemical Reaction Networks

    E-Print Network [OSTI]

    Winfree, Erik

    Programmability of Chemical Reaction Networks Matthew Cook1 , David Soloveichik2 , Erik Winfree2 Chemical Reaction Networks (SCRNs), a for- mal model that considers a set of chemical reactions acting Logic Circuits, Vector Addition Systems, Petri Nets, Gate Implementability, Primitive Recursive

  10. Early Warning of Network Catastrophes

    E-Print Network [OSTI]

    resilience of nation's networks Reduce cost of widespread outages and degradations Transfer methods to other systems of national importance, e.g., computational clouds, cyber- physical systems, smart power grids August 28, 2014 Early Warning of Network Catastrophes 2 #12;Argument in Brief Problem

  11. O. Bonaventure, 2008 Network Security

    E-Print Network [OSTI]

    Bonaventure, Olivier

    network traffic for usernames and passwords - sniff HTTP network traffic for Paypal cookies - steal AOL://news.com.com/Universities2C+research+centers+retrench+after+hacks/2100-7349_3-5192304.html? tag=st.rn For DeCSS : http for several hours or more March 2003 Al Jazeera Is Brought Down By Hack Attackers August 2003 Variant

  12. 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

  13. 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

  14. Global interrupt and barrier networks

    DOE Patents [OSTI]

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

    2008-10-28

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

  15. 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

  16. Wireless Sensor Networks for Healthcare

    E-Print Network [OSTI]

    Lu, Chenyang

    INVITED P A P E R Wireless Sensor Networks for Healthcare In healthcare, there is a strong need, wireless sensor networks for healthcare have emerged in the recent years. In this review, we present some representative applications in the healthcare domain and describe the challenges they introduce to wireless

  17. Network coding for distributed quantum computation over cluster and butterfly networks

    E-Print Network [OSTI]

    Seiseki Akibue; Mio Murao

    2015-03-26

    To apply network coding for quantum computation, we study the distributed implementation of unitary operations over all separated input and output nodes of quantum networks. We consider a setting of networks where quantum communication between nodes is restricted to sending just a qubit, but classical communication is unrestricted. We analyze which N-qubit unitary operations are implementable over cluster networks by investigating transformations of a given cluster network into quantum circuits. We show that any two-qubit unitary operation is implementable over the butterfly network and the grail network, which are fundamental primitive networks for classical network coding. We also analyze probabilistic implementations of unitary operations over cluster networks.

  18. Algebraic methods for biochemical reaction network theory

    E-Print Network [OSTI]

    Shiu, Anne

    2010-01-01

    Petri net approach to persistence analysis in chemical reaction networks,Petri net approach to the study of persistence in chemical reaction networks.

  19. Outage Optimum Routing for Wireless Networks

    E-Print Network [OSTI]

    Garcia-Luna-Aceves, J.J.

    2011-01-01

    Outage Optimum Routing for Wireless Networks B. Amiri, H. R.of wireless network outage probability in a fadinguse analytical calculation of outage probability in wireless

  20. Integration and Independent Innovation on a Network

    E-Print Network [OSTI]

    Farrell, Joseph

    2012-01-01

    Integration and Independent Innovation on a Network JosephKeywords: telecom networks, innovation, competition, accesspoint of monopoly. Innovation thrives with many independent

  1. 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...

  2. Southeast Energy Efficiency Alliance Launches Finance Network...

    Energy Savers [EERE]

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

  3. Automated Scalable Management of Data Center Networks

    E-Print Network [OSTI]

    Niranjan Mysore, Radhika

    2.2.1 Data Center Networks . . . . . . . . . . . . . . . .A Scalable Fault Tolerant Layer 2 Data Center NetworkExpress Lanes in Multi-Tenant Data Centers . . . . . . .

  4. Engine Combustion Network (ECN): Global sensitivity analysis...

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

    Engine Combustion Network (ECN): Global sensitivity analysis of Spray A for different combustion vessels Title Engine Combustion Network (ECN): Global sensitivity analysis of Spray...

  5. New Sensor Network Technology Increases Manufacturing Efficiency...

    Office of Environmental Management (EM)

    Sensor Network Technology Increases Manufacturing Efficiency New Sensor Network Technology Increases Manufacturing Efficiency April 11, 2013 - 12:00am Addthis EERE supported Eaton...

  6. Hierarchical Organization in Complex Networks

    E-Print Network [OSTI]

    Erzsebet Ravasz; Albert-Laszlo Barabasi

    2002-09-01

    Many real networks in nature and society share two generic properties: they are scale-free and they display a high degree of clustering. We show that these two features are the consequence of a hierarchical organization, implying that small groups of nodes organize in a hierarchical manner into increasingly large groups, while maintaining a scale-free topology. In hierarchical networks the degree of clustering characterizing the different groups follows a strict scaling law, which can be used to identify the presence of a hierarchical organization in real networks. We find that several real networks, such as the World Wide Web, actor network, the Internet at the domain level and the semantic web obey this scaling law, indicating that hierarchy is a fundamental characteristic of many complex systems.

  7. 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

    2014-01-07

    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.

  8. Collective network for computer structures

    DOE Patents [OSTI]

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

    2011-08-16

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

  9. Control of collective network chaos

    SciTech Connect (OSTI)

    Wagemakers, Alexandre, E-mail: alexandre.wagemakers@urjc.es; Sanjuán, Miguel A. F., E-mail: miguel.sanjuan@urjc.es [Departamento de Física, Universidad Rey Juan Carlos, Tulipán s/n, 28933 Móstoles, Madrid (Spain); Barreto, Ernest, E-mail: ebarreto@gmu.edu; So, Paul, E-mail: paso@gmu.edu [School of Physics, Astronomy, and Computational Sciences and The Krasnow Institute for Advanced Study, George Mason University, Fairfax, Virginia 22030 (United States)

    2014-06-01

    Under certain conditions, the collective behavior of a large globally-coupled heterogeneous network of coupled oscillators, as quantified by the macroscopic mean field or order parameter, can exhibit low-dimensional chaotic behavior. Recent advances describe how a small set of “reduced” ordinary differential equations can be derived that captures this mean field behavior. Here, we show that chaos control algorithms designed using the reduced equations can be successfully applied to imperfect realizations of the full network. To systematically study the effectiveness of this technique, we measure the quality of control as we relax conditions that are required for the strict accuracy of the reduced equations, and hence, the controller. Although the effects are network-dependent, we show that the method is effective for surprisingly small networks, for modest departures from global coupling, and even with mild inaccuracy in the estimate of network heterogeneity.

  10. Control Principles of Complex Networks

    E-Print Network [OSTI]

    Liu, Yang-Yu

    2015-01-01

    A reflection of our ultimate understanding of a complex system is our ability to control its behavior. Typically, control has multiple prerequisites: It requires an accurate map of the network that governs the interactions between the system's components, a quantitative description of the dynamical laws that govern the temporal behavior of each component, and an ability to influence the state and temporal behavior of a selected subset of the components. With deep roots in nonlinear dynamics and control theory, notions of control and controllability have taken a new life recently in the study of complex networks, inspiring several fundamental questions: What are the control principles of complex systems? How do networks organize themselves to balance control with functionality? To address these here we review recent advances on the controllability and the control of complex networks, exploring the intricate interplay between a system's structure, captured by its network topology, and the dynamical laws that go...

  11. 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

  12. 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 Networks Duke Energy Gas Pipeline Network Transportation, Communication, and Energy Networks #12;Components · The Transportation Network Equilibriumn Problem and Methodological Tools · The Braess Paradox · Some Interesting

  13. Distributed downhole drilling network

    DOE Patents [OSTI]

    Hall, David R.; Hall, Jr., H. Tracy; Fox, Joe; Pixton, David S.

    2006-11-21

    A high-speed downhole network providing real-time data from downhole components of a drilling strings includes a bottom-hole node interfacing to a bottom-hole assembly located proximate the bottom end of a drill string. A top-hole node is connected proximate the top end of the drill string. One or several intermediate nodes are located along the drill string between the bottom-hole node and the top-hole node. The intermediate nodes are configured to receive and transmit data packets transmitted between the bottom-hole node and the top-hole node. A communications link, integrated into the drill string, is used to operably connect the bottom-hole node, the intermediate nodes, and the top-hole node. In selected embodiments, a personal or other computer may be connected to the top-hole node, to analyze data received from the intermediate and bottom-hole nodes.

  14. Role Identification of Social Networkers

    E-Print Network [OSTI]

    Zygmunt, Anna

    2015-01-01

    A social network consists of a set of actors and a set of relationships between them which describe certain patterns of communication. Most current networks are huge and difficult to analyze and visualize. One of the methods frequently used is to extract the most important features, namely to create a certain abstraction, that is the transformation of a large network to a much smaller one, so the latter is a useful summary of the original one, still keeping the most important characteristics. In the case of a social network it can be achieved in two ways. One is to find groups of actors and present only them and relationships between them. The other is to find actors who play similar roles and to construct a smaller network in which the connection between the actors would be replaced with connections between the roles. Classifying actors by the roles they are playing in the network can help to understand 'who is who' in a social network. This classification can be very useful, because it gives us a comprehens...

  15. Introduction to Network Science 16 Introduction to Network Science 17

    E-Print Network [OSTI]

    Safro, Ilya

    primary type, s.t. the number of full records is >10000 (don't choose "criminal trespass", remove "noisy" records with no time and coordinate) · Build an undirected network with the following rules · Records

  16. Network Infusion to Infer Information Sources in Networks

    E-Print Network [OSTI]

    Feizi, Soheil

    2014-12-02

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

  17. A Biologically Inspired Networking Model for Wireless Sensor Networks 

    E-Print Network [OSTI]

    Charalambous, Charalambos

    2011-02-22

    Wireless sensor networks (WSNs) have emerged in strategic applications such as target detection, localization, and tracking in battlefields, where the large-scale na- ture renders centralized control prohibitive. In addition, the finite batteries...

  18. Towards A Network-of-Networks Framework for Cyber Security

    SciTech Connect (OSTI)

    Halappanavar, Mahantesh; Choudhury, Sutanay; Hogan, Emilie A.; Hui, Peter SY; Johnson, John R.; Ray, Indrajit; Holder, Lawrence B.

    2013-06-07

    Networks-of-networks (NoN) is a graph-theoretic model of interdependent networks that have distinct dynamics at each network (layer). By adding special edges to represent relationships between nodes in different layers, NoN provides a unified mechanism to study interdependent systems intertwined in a complex relationship. While NoN based models have been proposed for cyber-physical systems, in this paper we build towards a three-layer NoN model for an enterprise cyber system. Each layer captures a different facet of a cyber system. We then discuss the potential benefits of graph-theoretic analysis enabled from such a model. Our goal is to provide a novel and powerful tool for modeling and analyzing problems in cyber security.

  19. Ecological NetworksEcological Networks 15 September 2009

    E-Print Network [OSTI]

    Albert, Réka

    Thompson 2006 Science #12;PlantpollinatorPlant pollinator Bascompte & Jordano 2007 Ann Rev Ecol Evo Syst - k k A truncated power law fits most mutualistic networks Bascompte & Jordano 2007 Ann Rev Ecol Evo

  20. Biomass Rapid Analysis Network (BRAN)

    SciTech Connect (OSTI)

    Not Available

    2003-10-01

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

  1. SCANDEX: Service Centric Networking for Challenged Decentralised Networks

    E-Print Network [OSTI]

    Sathiaseelan, Arjuna; Wang, Liang; Aucinas, Andrius; Tyson, Gareth; Crowcroft, Jon

    2015-05-18

    emerged, operating using ad hoc wireless links. The regional authorities have invested in a Unmanned Aerial Vehicle (UAV) that flies along predeter- mined paths over the disaster zone. When the UAV comes into wireless contact with a DIY network, it can... temporar- ily communicate. The UAV may, or may not, have back- haul Internet connectivity. The UAV and the DIY networks all operate SCNx. For simplicity, all nodes on an intrado- main level utilise the same communications technologies; we assume a...

  2. 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

  3. Backpropagation in Sequential Deep Neural Networks

    E-Print Network [OSTI]

    Noble, William Stafford

    Backpropagation in Sequential Deep Neural Networks Galen Andrew University of Washington galen neural networks to problems in speech processing has combined the output of a static network trained over developed Sequential Deep Neural Network (SDNN) model allows sequential dependencies between internal hidden

  4. 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 Networks 2 Artificial Neural Networks ANNSID Conclusions and Open Challenges #12;Motivation 3 #12;Motivating Questions Is it possible to use artificial neural networks to determine a linear model

  5. 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

  6. Designing Neural Networks Using Gene Expression Programming

    E-Print Network [OSTI]

    Fernandez, Thomas

    1 Designing Neural Networks Using Gene Expression Programming CândidaFerreira Gepsoft, 73 Elmtree aspects of neural networks, such as the weights, the thresholds, and the network architec- ture. Indeed neural network, including the architecture, the weights and thresholds, could be totally encoded

  7. Next Generation Mobile Networks and Ubiquitous

    E-Print Network [OSTI]

    networks (Computer networks) 2. Ubiquitous computing. I. Pierre, Samuel. TK5105.77.N49 2010 621.382--dc22 written permission of IGI Global is prohibited. Chapter 4 Cross Layer Design for Multimedia Transmission of cross layer design for multimedia transmission over wireless networks. In wireless networks multimedia

  8. 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

  9. 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

  10. Dynamic Networks: Recent Results and Applications

    E-Print Network [OSTI]

    Nagurney, Anna

    #12;Energy Networks provide the energy for our homes, schools, and businesses, and to run our vehicles-Making Characterized by: · complex interactions among decision-makers in organizations; · alternative and at times. #12;Duke Energy Gas Pipeline Network #12;Components of Common Physical Networks Network System Nodes

  11. UofT Wireless Network Windows Vista

    E-Print Network [OSTI]

    UofT Wireless Network Windows Vista 1. Before you can use the UofT wireless network, you must logging in to the UofT wireless network. There will be a short delay between verifying and being able to access the UofT wireless network. 3. Left-click the wireless icon in the tray area, and click Con- nect

  12. Context-aware computing for wireless networks

    E-Print Network [OSTI]

    Ergüt, Salih

    2010-01-01

    a fourty dollar wireless router offers similar services tomechanism for wireless mesh networks where routers benefit

  13. Ferry-Based Linear Wireless Sensor Networks

    E-Print Network [OSTI]

    Wu, Jie

    Networks Existing wireless sensor network research Assumption that the network used for sensors does of oil, gas, and water pipeline infrastructure using wireless sensor networks. #12;IEEE Globecom 2013 UAE (2006): 2,580 Km of gas pipelines 2,950 Km of oil pipelines 156 Km of refined products

  14. An Extended Network Coding Opportunity Discovery Scheme in Wireless Networks

    E-Print Network [OSTI]

    Zhao, Yunlong; Iwai, Masayuki; Sezaki, Kaoru; Tobe, Yoshito; 10.5121/ijcnc.2012.4106

    2012-01-01

    Network coding is known as a promising approach to improve wireless network performance. How to discover the coding opportunity in relay nodes is really important for it. There are more coding chances, there are more times it can improve network throughput by network coding operation. In this paper, an extended network coding opportunity discovery scheme (ExCODE) is proposed, which is realized by appending the current node ID and all its 1-hop neighbors' IDs to the packet. ExCODE enables the next hop relay node to know which nodes else have already overheard the packet, so it can discover the potential coding opportunities as much as possible. ExCODE expands the region of discovering coding chance to n-hops, and have more opportunities to execute network coding operation in each relay node. At last, we implement ExCODE over the AODV protocol, and efficiency of the proposed mechanism is demonstrated with NS2 simulations, compared to the existing coding opportunity discovery scheme.

  15. Neural Networks 1 Running Head: NETWORKS AND SPEED-ACCURACY TRADEOFF

    E-Print Network [OSTI]

    Neural Networks 1 Running Head: NETWORKS AND SPEED-ACCURACY TRADEOFF Neural Networks Associated@columbia.edu (Y. Stern) #12;Neural Networks 2 Abstract This functional neuroimaging (fMRI) study examined the neural networks (spatial patterns of covarying neural activity) associated with the speed

  16. Symbolic Neural Networks Derived from Stochastic Grammar Domain Models 1 Symbolic Neural Networks Derived from Stochastic

    E-Print Network [OSTI]

    Mjolsness, Eric

    Symbolic Neural Networks Derived from Stochastic Grammar Domain Models 1 Symbolic Neural Networks neural network architectures with some of the expressive power of a semantic network and also some of the pattern recognition and learning capabilities of more conventional neural networks. For example

  17. Submitted for publication in IEEE Transactions on Networking PERFORMABILITY OF A TOKEN BUS NETWORK UNDER

    E-Print Network [OSTI]

    Sanders, William H.

    of stochastic Petri nets, provide a convenient representation for computer networks and are formal enough network loads. Keywords: Performability, Fault-Tolerant Computer Networks, Stochastic Petri NetsSubmitted for publication in IEEE Transactions on Networking PERFORMABILITY OF A TOKEN BUS NETWORK

  18. The Community Seismic Network and Quake-Catcher Network: enabling structural health monitoring through instrumentation by

    E-Print Network [OSTI]

    Greer, Julia R.

    The Community Seismic Network and Quake-Catcher Network: enabling structural health monitoring, structural health monitoring 1. INTRODUCTION The Community Seismic Network (CSN) and Quake-Catcher Network-Catcher Network are examples of this, in which observational-based structural monitoring is carried out using

  19. OPTICAL WDM NETWORK DYNAMICS: AN ANALYTICAL APPROACH WITH APPLICATIONS TO ROBUST NETWORK

    E-Print Network [OSTI]

    Pavel, Lacra

    OPTICAL WDM NETWORK DYNAMICS: AN ANALYTICAL APPROACH WITH APPLICATIONS TO ROBUST NETWORK DESIGN- proach for studying dynamics in optical networks. The approach is based on recasting the problem- resentation for an optical network are developed and particularized to different optical network configura

  20. Variability Aware Network Utility Maximization

    E-Print Network [OSTI]

    Joseph, Vinay

    2011-01-01

    Network Utility Maximization (NUM) provides the key conceptual framework to study resource allocation amongst a collection of users/entities across disciplines as diverse as economics, law and engineering. In network engineering, this framework has been particularly insightful towards understanding how Internet protocols allocate bandwidth, and motivated diverse research on distributed mechanisms to maximize network utility while incorporating new relevant constraints, on energy/power, storage, stability, etc., for systems ranging from communication networks to the smart-grid. However when the available resources and/or users' utilities vary over time, a user's allocations will tend to vary, which in turn may have a detrimental impact on the users' utility or quality of experience. This paper introduces a generalized NUM framework which explicitly incorporates the detrimental impact of temporal variability in a user's allocated rewards. It explicitly incorporates tradeoffs amongst the mean and variability in ...

  1. Networking and Security Research Center

    E-Print Network [OSTI]

    Smith, Adam D.

    ]. The increased network connectivity and standardization of Super- visory Control and Data Acquisition (SCADA and SCADA devices can be found through the Shodan search engine [1, 14]. An adversary with PLC access can

  2. Shape-shifting droplet networks

    E-Print Network [OSTI]

    T. Zhang; Duanduan Wan; J. M. Schwarz; M. J. Bowick

    2015-05-10

    Many naturally occurring materials can change their shape in response to external stimuli or internal stresses. Inspired by such materials, as well as recent experiments, we consider a three- dimensional network of aqueous droplets joined by single lipid bilayers to form a cohesive, tissue- like material. The droplets in these self-assembled networks can be programmed to have distinct osmolarities. The resultant osmotic gradients generate internal stresses via local fluid flows, causing the network to deform in shape. We study, using molecular dynamics simulations, the formation of a variety of shapes ranging from rings to spirals to tetrahedra and determine the optimal range of parameters for each structure. We also realize a reversible folding-unfolding process by adding an osmotic interaction with the surrounding environment which necessarily evolves dynamically as the shape of the network changes. Such reversible processes may well be important for the development of osmotic robotics in synthetic and bio-inspired materials.

  3. Strategies for network platform evolution

    E-Print Network [OSTI]

    Shrivastava, Saujanya

    2012-01-01

    Managing a network platform business can be a complex preposition for the platform owner due to various intricacies that are associated with these platforms. These platforms have distinct users each having its own exclusive ...

  4. Communication in Home Area Networks

    E-Print Network [OSTI]

    Wang, Yubo

    2012-01-01

    21] ZigBee Alliance. "ZigBee Smart Energy V2.0”, 2011 [22]Secure remote access to Smart Energy Home area Networks”,Density HEMS SEP Smart Energy Profile HV Home Energy

  5. Social networks for lonely objects

    E-Print Network [OSTI]

    Kestner, John Anthony

    2010-01-01

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

  6. Toward cheat-proof networking

    E-Print Network [OSTI]

    Raghavan, Barath

    2009-01-01

    networks. In Proceedings of ACM SIGCOMM, [93] C. Jin, D. X.services. In Proceedings of ACM SIGCOMM, 2002. [105] E.downstream queue behavior. IEEE/ACM Trans. Netw. , 3(1):82–

  7. Security Policy: Radio Network Controller

    E-Print Network [OSTI]

    Security Policy: Radio Network Controller Encryption Module Controller (RNC EMC) Cryptographic, 2007 Security Policy: RNC EMC Page 1 of 22 #12;Security Policy: RNC EMC Page 2 of 22 #12;Table...........................................................14 7. IDENTIFICATION AND AUTHENTICATION POLICY

  8. Gaussian Process Networks Nir Friedman

    E-Print Network [OSTI]

    Friedman, Nir

    Gaussian Process Networks Nir Friedman School of Computer Science & Engineering Hebrew University Jerusalem, 91904, ISRAEL nir@cs.huji.ac.il Iftach Nachman Center for Neural Computation and School

  9. General network theory rka albert

    E-Print Network [OSTI]

    Albert, Réka

    beconstructedonthesaurisuchasroget's,whichincludesover29,000wordsclassifiedinto 1000 semantic categories. roget's thesaurus Figure 3. Bipartite graph of a thesaurus-based semantic network (top) and its unipartite pro- jection

  10. Energy efficiency in wireless networks 

    E-Print Network [OSTI]

    Jung, Eun-Sun

    2005-11-01

    Energy is a critical resource in the design of wireless networks since wireless devices are usually powered by batteries. Battery capacity is finite and the progress of battery technology is very slow, with capacity expected to make little...

  11. Transient approximations in queueing networks 

    E-Print Network [OSTI]

    Andrewartha, John Michael

    1989-01-01

    in reviewing this thesis. Thanks also to Todd Mummert for the use of his Monte Carlo simulation for Jackson networks and to Deborah Dabbs for proofreading the final draft. I am indebted to Electrospace Systems, Inc. for the use of their computer facilities... History and Operation 73 73 CHAPTER Page 2. ARPANET Routing Algorithm. . . . . . . . . . B. Computer Network Notation C. Monte Carlo Simulation of the ARPANET 1. Overview of Simulation Structure and Features . 2. Simulation Data Structures, 3...

  12. Elasticity of Stiff Polymer Networks

    E-Print Network [OSTI]

    Jan Wilhelm; Erwin Frey

    2003-03-27

    We study the elasticity of a two-dimensional random network of rigid rods (``Mikado model''). The essential features incorporated into the model are the anisotropic elasticity of the rods and the random geometry of the network. We show that there are three distinct scaling regimes, characterized by two distinct length scales on the elastic backbone. In addition to a critical rigidiy percolation region and a homogeneously elastic regime we find a novel intermediate scaling regime, where elasticity is dominated by bending deformations.

  13. Social networks and research output

    E-Print Network [OSTI]

    Ductor, Lorenzo; Fafchamps, Marcel; Goyal, Sanjeev; van der Leij, Marco J.

    2013-11-12

    and Scheinkman (2002). In recent years, interest has shifted to the ways by which the architecture of social networks influences behavior and outcomes.2 Recent empirical papers on network effects include Bramoulle´, Djebbari and Fortin (2009), Calvo... the length of papers and the duration of the review process in economics, it is reasonable to suppose that collabora- tion entails communication over an extended period of time. These considerations – personal interaction and sustained communication – in turn...

  14. Multi-area network analysis 

    E-Print Network [OSTI]

    Zhao, Liang

    2005-02-17

    -1 MULTI-AREA NETWORK ANALYSIS A Dissertation by LIANG ZHAO Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY... December 2004 Major Subject: Electrical Engineering MULTI-AREA NETWORK ANALYSIS A Dissertation by LIANG ZHAO Submitted to Texas A&M University in partial fulfillment of the requirements for the degree of DOCTOR...

  15. Entanglement Distribution in Optical Networks

    E-Print Network [OSTI]

    Alex Ciurana; Vicente Martin; Jesus Martinez-Mateo; Bernhard Schrenk; Momtchil Peev; Andreas Poppe

    2014-09-21

    The ability to generate entangled photon-pairs over a broad wavelength range opens the door to the simultaneous distribution of entanglement to multiple users in a network by using centralized sources and flexible wavelength-division multiplexing schemes. Here we show the design of a metropolitan optical network consisting of tree-type access networks whereby entangled photon-pairs are distributed to any pair of users, independent of their location. The network is constructed employing commercial off-the-shelf components and uses the existing infrastructure, which allows for moderate deployment costs. We further develop a channel plan and a network-architecture design to provide a direct optical path between any pair of users, thus allowing classical and one-way quantum communication as well as entanglement distribution. This allows the simultaneous operation of multiple quantum information technologies. Finally, we present a more flexible backbone architecture that pushes away the load limitations of the original network design by extending its reach, number of users and capabilities.

  16. The application of network coding to multicast routing in wireless networks

    E-Print Network [OSTI]

    Jennings, Michael (Michael Vincent)

    2007-01-01

    This thesis considers the application of network coding and opportunistic routing to improve the performance of multicast flows in wireless networks. Network coding allows routers to randomly mix packets before forwarding ...

  17. Network coding, multi-packet reception, and feedback : design tools for wireless broadcast networks

    E-Print Network [OSTI]

    Rezaee, Arman

    2011-01-01

    In this thesis, we address the combination of three technologies in wireless broadcast networks: network coding, multi-packet reception (MPR) and feedback. We will primarily discuss the performance of a single-hop network, ...

  18. Robustness of interdependent networks: The case of communication networks and the power grid

    E-Print Network [OSTI]

    Parandehgheibi, Marzieh

    We study the robustness of interdependent networks, in which the state of one network depends on the state of the other network and vice versa. In particular, we focus on the interdependency between the power grid and ...

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

    E-Print Network [OSTI]

    Dai, Lillian Lei, 1978-

    2008-01-01

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

  20. Anomaly Detection in Dynamic Networks

    SciTech Connect (OSTI)

    Turcotte, Melissa

    2014-10-14

    Anomaly detection in dynamic communication networks has many important security applications. These networks can be extremely large and so detecting any changes in their structure can be computationally challenging; hence, computationally fast, parallelisable methods for monitoring the network are paramount. For this reason the methods presented here use independent node and edge based models to detect locally anomalous substructures within communication networks. As a first stage, the aim is to detect changes in the data streams arising from node or edge communications. Throughout the thesis simple, conjugate Bayesian models for counting processes are used to model these data streams. A second stage of analysis can then be performed on a much reduced subset of the network comprising nodes and edges which have been identified as potentially anomalous in the first stage. The first method assumes communications in a network arise from an inhomogeneous Poisson process with piecewise constant intensity. Anomaly detection is then treated as a changepoint problem on the intensities. The changepoint model is extended to incorporate seasonal behavior inherent in communication networks. This seasonal behavior is also viewed as a changepoint problem acting on a piecewise constant Poisson process. In a static time frame, inference is made on this extended model via a Gibbs sampling strategy. In a sequential time frame, where the data arrive as a stream, a novel, fast Sequential Monte Carlo (SMC) algorithm is introduced to sample from the sequence of posterior distributions of the change points over time. A second method is considered for monitoring communications in a large scale computer network. The usage patterns in these types of networks are very bursty in nature and don’t fit a Poisson process model. For tractable inference, discrete time models are considered, where the data are aggregated into discrete time periods and probability models are fitted to the communication counts. In a sequential analysis, anomalous behavior is then identified from outlying behavior with respect to the fitted predictive probability models. Seasonality is again incorporated into the model and is treated as a changepoint model on the transition probabilities of a discrete time Markov process. Second stage analytics are then developed which combine anomalous edges to identify anomalous substructures in the network.

  1. Adaptive Scheduling in Ad Hoc and Cellular Wireless Networks

    E-Print Network [OSTI]

    Tan, Choo Chin

    2013-01-01

    organization wireless networks and wireless mobile ad-hocfor heterogeneous wireless network”, in Proc. of IEEER. Khalaf, “Ad hoc wireless networks with mobile backbones,”

  2. Multi-hop routing for wireless mesh networks

    E-Print Network [OSTI]

    Bhorkar, Abhijeet

    2012-01-01

    in Wireless Mesh Networks . . . . . . . . . . . . . 1.2in Mobile, Ad Hoc, and Wireless Networks (WiOpt), [45] Amanin ICDCS Workshop on Wireless Networks and Mobile Computing,

  3. Maximizing the throughput of large ad hoc wireless networks

    E-Print Network [OSTI]

    Hua, Yingbo; Huang, Yi; J, Garcia-Luna-Aceves J

    2006-01-01

    The transport capacity of wireless networks over fadingimprovement of ad hoc wireless networks using directionalThe capacity of wireless networks,” IEEE Trans. Inform.

  4. Traffic Management and Net Neutrality in Wireless Networks

    E-Print Network [OSTI]

    Jordan, Scott

    2011-01-01

    and resource allocation in wireless multimedia networks.between wired and wireless networks, and hence on potentialManagement for Wireless Networks. Artech House Publishers,

  5. Power Scheduling for Multi-Hop Wireless Networks

    E-Print Network [OSTI]

    Yu, Yuan

    2009-01-01

    The capacity of wireless networks,” IEEE Trans. Inform.capacity of hybrid wireless networks,” in Infocom, 2003, pp.larization for MIMO wireless networks,” IEEE Transactions on

  6. Artificial Neural Network for Optimized Power System Management

    E-Print Network [OSTI]

    OLeary, Daniel Albert

    2015-01-01

    vii Abstract Artificial Neural Network for Optimized PowerAn Artificial Neural Network (ANN). Data is input to theSANTA CRUZ ARTIFICIAL NEURAL NETWORK FOR OPTIMIZED POWER

  7. An efficient online feature extraction algorithm for neural networks

    E-Print Network [OSTI]

    Bozorgmehr, Pouya

    2009-01-01

    2.3 Artificial Neural Networks . . . . . . . . . . .2.3.1 Learning in Artificial Neural Networks 2.3.2 HopfieldBayesian learning for neural networks. Springer Verlag,

  8. Network-smart extension could catalyze social learning

    E-Print Network [OSTI]

    Hoffman, Matthew; Lubell, Mark; Hillis, Vicken

    2015-01-01

    Research Article Network-smart extension could catalyzebasis on which network- smart extension strategies can benetworks. Several network-smart extension strategies might

  9. Rethinking Data Fusion-Based Services in Tiered Sensor Networks

    E-Print Network [OSTI]

    Dantu, Karthik; Sukhatme, Gaurav

    2006-01-01

    conference on Embedded networked sensor systems, New York,conference on Embedded networked sensor systems, New York,Conference on Embedded Networked Sensor Systems, 2003, pp.

  10. Distributed Motion Constraints for Algebraic Connectivity of Robotic Networks

    E-Print Network [OSTI]

    Schuresko, Michael; Cortés, Jorge

    2009-01-01

    E. : On synchronous robotic networks - Part I: models,a simulation environment for robotic networks. http://function associated to the robotic network. 2.1 The Graph

  11. On synchronous robotic networks - Part I: Models, tasks, and complexity

    E-Print Network [OSTI]

    Frazzoli, Emilio; Bullo, Francesco; Cortes, Jorge; Martinez, Sonia

    2007-01-01

    E. Frazzoli, “On synchronous robotic networks Part II: Timeto control design for mobile robotic networks. Application2007 On Synchronous Robotic Networks—Part I: Models, Tasks,

  12. Regional Networks for Energy Efficiency | Department of Energy

    Energy Savers [EERE]

    Regional Networks for Energy Efficiency Regional Networks for Energy Efficiency Better Buildings Neighborhood Program Sustainability Peer Exchange Call: Regional Networks for...

  13. Data Analysis and Query Processing in Wireless Sensor Networks

    E-Print Network [OSTI]

    Chatzimilioudis, Georgios

    2010-01-01

    multicasting in energy-constrained wireless networks. IEEEdesign for energy-e?cient wireless sensor networks. Inenergy and maximizing network lifetime multicasting in wireless

  14. Adaptive Scheduling in Ad Hoc and Cellular Wireless Networks

    E-Print Network [OSTI]

    Tan, Choo Chin

    2013-01-01

    multicasting in energy-constrained wireless networks,” IEEEminimum-energy multicasting in wireless ad hoc networks,”minimum-energy multicasting in wireless ad hoc networks,” in

  15. Secure Routing in Wireless Sensor Networks: Attacks and Countermeasures

    E-Print Network [OSTI]

    California at Berkeley, University of

    sensor networks, introduce two classes of novel attacks against sensor networks --- sinkholes and HELLO two novel classes of previously undoc­ umented attacks against sensor networks 1 -- sinkhole attacks

  16. Secure Routing in Wireless Sensor Networks: Attacks and Countermeasures

    E-Print Network [OSTI]

    Wagner, David

    sensor networks, introduce two classes of novel attacks against sensor networks --- sinkholes and HELLO­ umented attacks against sensor networks 1 -- sinkhole attacks and HELLO floods. #15; We show

  17. 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...

  18. Statistical Analysis of Bus Networks in India

    E-Print Network [OSTI]

    Chatterjee, Atanu; Ramadurai, Gitakrishnan

    2015-01-01

    Through the past decade the field of network science has established itself as a common ground for the cross-fertilization of exciting inter-disciplinary studies which has motivated researchers to model almost every physical system as an interacting network consisting of nodes and links. Although public transport networks such as airline and railway networks have been extensively studied, the status of bus networks still remains in obscurity. In developing countries like India, where bus networks play an important role in day-to-day commutation, it is of significant interest to analyze its topological structure and answer some of the basic questions on its evolution, growth, robustness and resiliency. In this paper, we model the bus networks of major Indian cities as graphs in \\textit{L}-space, and evaluate their various statistical properties using concepts from network science. Our analysis reveals a wide spectrum of network topology with the common underlying feature of small-world property. We observe tha...

  19. Google matrix analysis of directed networks

    E-Print Network [OSTI]

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

    2015-06-19

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

  20. Community Detection from Location-Tagged Networks

    E-Print Network [OSTI]

    Liu, Zhi

    2015-01-01

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

  1. The Cost of Attack in Competing Networks

    E-Print Network [OSTI]

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

    2015-01-01

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

  2. A flood-based information flow analysis and network minimization method for gene regulatory networks

    E-Print Network [OSTI]

    Pavlogiannis, Andreas; Mozhayskiy, Vadim; Tagkopoulos, Ilias

    2013-01-01

    as: Pavlogiannis et al. : A flood-based information flowRESEARCH ARTICLE Open Access A flood-based information flowlevels. Keywords: Network flood, Network flux, Information

  3. Flexible network wireless transceiver and flexible network telemetry transceiver

    DOE Patents [OSTI]

    Brown, Kenneth D. (Grain Valley, MO)

    2008-08-05

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

  4. Networked Computing in Wireless Sensor Networks for Structural Health Monitoring

    E-Print Network [OSTI]

    Jindal, Apoorva

    2010-01-01

    This paper studies the problem of distributed computation over a network of wireless sensors. While this problem applies to many emerging applications, to keep our discussion concrete we will focus on sensor networks used for structural health monitoring. Within this context, the heaviest computation is to determine the singular value decomposition (SVD) to extract mode shapes (eigenvectors) of a structure. Compared to collecting raw vibration data and performing SVD at a central location, computing SVD within the network can result in significantly lower energy consumption and delay. Using recent results on decomposing SVD, a well-known centralized operation, into components, we seek to determine a near-optimal communication structure that enables the distribution of this computation and the reassembly of the final results, with the objective of minimizing energy consumption subject to a computational delay constraint. We show that this reduces to a generalized clustering problem; a cluster forms a unit on w...

  5. Reputational Learning and Network Dynamics

    E-Print Network [OSTI]

    Zhang, Simpson

    2015-01-01

    In many real world networks agents are initially unsure of each other's qualities and learn about each other over time via repeated interactions. This paper is the first to provide a methodology for studying the formation of such networks, taking into account that agents differ from each other, that they begin with incomplete information, and that they must learn through observations which connections/links to form and which to break. The network dynamics in our model vary drastically from the dynamics emerging in models of complete information. With incomplete information and learning, agents who provide high benefits will develop high reputations and remain in the network, while agents who provide low benefits will drop in reputation and become ostracized. We show, among many other things, that the information to which agents have access and the speed at which they learn and act can have tremendous impact on the resulting network dynamics. Using our model, we can also compute the \\textit{ex ante} social wel...

  6. Optimization of synchronization in gradient clustered networks

    E-Print Network [OSTI]

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

    2007-11-23

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

  7. 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...

  8. Partial wave analysis at BES III harnessing the power of GPUs

    E-Print Network [OSTI]

    Niklaus Berger

    2011-08-29

    Partial wave analysis is a core tool in hadron spectroscopy. With the high statistics data available at facilities such as the Beijing Spectrometer III, this procedure becomes computationally very expensive. We have successfully implemented a framework for performing partial wave analysis on graphics processors. We discuss the implementation, the parallel computing frameworks employed and the performance achieved, with a focus on the recent transition to the OpenCL framework.

  9. Technical report on "BES Early Career. Control Graphene Electronic Structure for Energy Technology"

    SciTech Connect (OSTI)

    Wang, Feng

    2015-07-11

    Graphene, a one-atom thick sheet of carbon, exhibits incredible structural flexibility, electrical transport, and optical responses. And remarkably, the graphene electronic structure can be varied through interlayer coupling, nanoscale patterning, and electrical gating. In this project we made significant contribution to better understand and control physical properties of graphene and other novel two-dimensional layered materials.

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

    Broader source: Energy.gov [DOE]

    Presentation given at the 2007 Diesel Engine-Efficiency & Emissions Research Conference (DEER 2007). 13-16 August, 2007, Detroit, Michigan. Sponsored by the U.S. Department of Energy's (DOE) Office of FreedomCAR and Vehicle Technologies (OFCVT).

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

    SciTech Connect (OSTI)

    Not Available

    1990-03-01

    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)

  12. Microsoft Word - FinalReport_2014_Henderson_DOE-BES_DE-SC0002169.docx

    Office of Scientific and Technical Information (OSTI)

    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 Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield MunicipalTechnical Report:Speeding accessby aLED Street LightingFrom theHighISTATISTICAL

  13. Modeling and Analysis of the BUK/BES-5 Fast Reactor Using MCNP (Technical

    Office of Scientific and Technical Information (OSTI)

    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 Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfate Reducing(JournalspectroscopyReport)Fermentative Activity on Fateof Star Formation?Report) |

  14. Modeling and Analysis of the BUK/BES-5 Fast Reactor Using MCNP (Technical

    Office of Scientific and Technical Information (OSTI)

    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 Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfate Reducing(JournalspectroscopyReport)Fermentative Activity on Fateof Star Formation?Report)

  15. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26thI D- 6 0 4 2 rzNewsOfficehighlights/ The Office of

  16. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26thI D- 6 0 4 2 rzNewsOfficehighlights/ The

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

    Office of Science (SC) Website

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26thI D- 6 0GrantsThe Life ofASCRLightAllen J.AndrewOffice03

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

    Office of Science (SC) Website

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26thI D- 6 0GrantsThe Life ofASCRLightAllen J.AndrewOffice0310

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

    Office of Science (SC) Website

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26thI D- 6 0GrantsThe Life ofASCRLightAllen

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

    Office of Science (SC) Website

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26thI D- 6 0GrantsThe Life ofASCRLightAllenJune 2008 Basic

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

    Office of Science (SC) Website

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26thI D- 6 0GrantsThe Life ofASCRLightAllenJune 2008 BasicMay

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

    Office of Science (SC) Website

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26thI D- 6 0GrantsThe Life ofASCRLightAllenJune 2008

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

    Office of Science (SC) Website

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26thI D- 6 0GrantsThe LifeAtomic, Molecular,

  4. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26thIWalter H. Zinn, 1969 The8,April2 AdvancedMinutesResearch

  5. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26thIWalter H. Zinn, 1969CALCDOfficeU.S. DOEMedical1980-1999 |

  6. Quantum Techniques for Reaction Networks

    E-Print Network [OSTI]

    John C. Baez

    2013-06-14

    Reaction networks are a general formalism for describing collections of classical entities interacting in a random way. While reaction networks are mainly studied by chemists, they are equivalent to Petri nets, which are used for similar purposes in computer science and biology. As noted by Doi and others, techniques from quantum field theory can be adapted to apply to such systems. Here we use these techniques to study how the "master equation" describing stochastic time evolution for a reaction network reduces is related to the "rate equation" describing the deterministic evolution of the expected number of particles of each species in the large-number limit. We show that the relation is especially strong when a solution of master equation is a "coherent state", meaning that the numbers of entities of each kind are described by independent Poisson distributions.

  7. Interests Diffusion in Social Networks

    E-Print Network [OSTI]

    D'Agostino, Gregorio; De Nicola, Antonio; Tucci, Salvatore

    2015-01-01

    Understanding cultural phenomena on Social Networks (SNs) and exploiting the implicit knowledge about their members is attracting the interest of different research communities both from the academic and the business side. The community of complexity science is devoting significant efforts to define laws, models, and theories, which, based on acquired knowledge, are able to predict future observations (e.g. success of a product). In the mean time, the semantic web community aims at engineering a new generation of advanced services by defining constructs, models and methods, adding a semantic layer to SNs. In this context, a leapfrog is expected to come from a hybrid approach merging the disciplines above. Along this line, this work focuses on the propagation of individual interests in social networks. The proposed framework consists of the following main components: a method to gather information about the members of the social networks; methods to perform some semantic analysis of the Domain of Interest; a p...

  8. Hierarchical networks of scientific journals

    E-Print Network [OSTI]

    Palla, Gergely; Mones, Enys; Pollner, Péter; Vicsek, Tamás

    2015-01-01

    Scientific journals are the repositories of the gradually accumulating knowledge of mankind about the world surrounding us. Just as our knowledge is organised into classes ranging from major disciplines, subjects and fields to increasingly specific topics, journals can also be categorised into groups using various metrics. In addition to the set of topics characteristic for a journal, they can also be ranked regarding their relevance from the point of overall influence. One widespread measure is impact factor, but in the present paper we intend to reconstruct a much more detailed description by studying the hierarchical relations between the journals based on citation data. We use a measure related to the notion of m-reaching centrality and find a network which shows the level of influence of a journal from the point of the direction and efficiency with which information spreads through the network. We can also obtain an alternative network using a suitably modified nested hierarchy extraction method applied ...

  9. Sandia's new fiber optic network is world's largest | National...

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

    passive optical networks, building the largest fiber optical local area network in the world. The Sandia network pulls together 265 buildings and 13,000 computer network ports and...

  10. Virtualized Network Control. Final Report

    SciTech Connect (OSTI)

    Ghani, Nasir

    2013-02-01

    This document is the final report for the Virtualized Network Control (VNC) project, which was funded by the United States Department of Energy (DOE) Office of Science. This project was also informally referred to as Advanced Resource Computation for Hybrid Service and TOpology NEtworks (ARCHSTONE). This report provides a summary of the project's activities, tasks, deliverable, and accomplishments. It also provides a summary of the documents, software, and presentations generated as part of this projects activities. Namely, the Appendix contains an archive of the deliverables, documents, and presentations generated a part of this project.

  11. Motivation Literature Network Performance Measure Network Robustness SCN Model Fin. Net. Model Conclusions Network Efficiency/Performance Measurement

    E-Print Network [OSTI]

    Nagurney, Anna

    Conclusions Network Efficiency/Performance Measurement with Vulnerability and Robustness Analysis Conclusions 1 Motivation 2 Literature Review 3 Network Efficiency/Performance Measure Variational Inequality Robustness SCN Model Fin. Net. Model Conclusions 1 Motivation 2 Literature Review 3 Network Efficiency/Performance

  12. Understanding Spreading Patterns on Social Networks Based on Network Topology

    E-Print Network [OSTI]

    Saxena, Akrati; Gupta, Yayati

    2015-01-01

    Ever since the proposal of first epidemic model, scientists have been attempting to estimate the growth of a disease/contagion while in its premature stage. Despite being the focus of researchers for a long time, understanding epidemiology remains as error prone as a weather forecast, mainly because of the unavailability of large amount of data. An epidemic spread is analogous to the diffusion of memes in social networking sites. Diffusion of memes can be easily studied provided large datasets and computational powers to extract information from online networks. So, studying a meme spreading pattern can help us in understanding epidemiology. In this paper, we analyse the impact of the topology of a social network, specifically its meso scale properties- community structure and core-periphery structure, on a meme traversing over it. We propose a meme propagation model for synthetic scale free graphs which resemble real world graphs and observe the process of a meme going viral on such a network. We also valida...

  13. Controlling Across Complex Networks Emerging links between networks and control

    E-Print Network [OSTI]

    , and Electrical Engineering University of New Mexico, Albuquerque NM 87131. Sandia National Laboratories science, physics, and social science. Networks thus provide means to understand the interaction between infrastructure into their designs, by considering the impact of link capacity, latency, and packet loss

  14. Controlling Across Complex Networks Emerging links between networks and control

    E-Print Network [OSTI]

    & Computer Engineering Department MSC01 1100 1 University of New Mexico Albuquerque, NM 87131-0001 USA as biology, computer science, physics, and social science. Networks thus provide the means to understand, by considering the impact of link capacity, latency, and packet loss on control systems [2, 1

  15. Antisocial Networks: Turning a Social Network into a Botnet

    E-Print Network [OSTI]

    Markatos, Evangelos P.

    built an actual Facebook application, that can turn its users into a FaceBot. We used our Face of Facebook, a real-world So- cial Network, and then study how we can utilize these properties and transform-world Facebook appli- cation that can perform malicious actions covertly. We experimentally measured it's impact

  16. Reconfigurable Network Systems and Software-Defined Networking

    E-Print Network [OSTI]

    Zilberman, Noa; Rotsos, Charalampos; Moore, Andrew W.

    2015-06-11

    architecture. In 2008, Cisco was the first company to introduce a network processor that was fully ANSI-C compatible [56]. This approach was later followed by Ericsson [57], and most-recently by EZchip [58]. Several attempts have been made to go beyond...

  17. Integrated Approach to Revamping Heat Exchangers Networks 

    E-Print Network [OSTI]

    Glass, K. E.; Dhole, V.; Wang, Y.

    2002-01-01

    A heat exchanger network constitutes the core of the plant energy systems interlinking the core process operation and the utility systems. This paper will illustrate an integrated approach for the revamp of a heat exchanger network by bringing...

  18. Training Algorithms for Networks of Spiking Neurons 

    E-Print Network [OSTI]

    Singh, Nityendra

    2014-12-08

    Neural networks represent a type of computing that is based on the way that the brain performs computations. Neural networks are good at fitting non-linear functions and recognizing patterns. It is believed that biological ...

  19. OFC/NFOEC '12 Summary --Elastic Networks

    E-Print Network [OSTI]

    California at Davis, University of

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

  20. Activity based interfaces in online social networks

    E-Print Network [OSTI]

    Laraqui, Jawad

    2007-01-01

    The goal of the project is to explore how activity-based interfaces can create more meaningful experiences for the users and builders of online social networking sites. Medina, a social-networking site based on the idea ...

  1. Computer network control plane tampering monitor

    DOE Patents [OSTI]

    Michalski, John T.; Tarman, Thomas D.; Black, Stephen P.; Torgerson, Mark D.

    2010-06-08

    A computer network control plane tampering monitor that detects unauthorized alteration of a label-switched path setup for an information packet intended for transmission through a computer network.

  2. Adaptive sampling in autonomous marine sensor networks

    E-Print Network [OSTI]

    Eickstedt, Donald Patrick

    2006-01-01

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

  3. Underwater Data Collection Using Robotic Sensor Networks

    E-Print Network [OSTI]

    Hollinger, Geoffrey A.

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

  4. Advanced battery modeling using neural networks 

    E-Print Network [OSTI]

    Arikara, Muralidharan Pushpakam

    1993-01-01

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

  5. Boolean models for genetic regulatory networks 

    E-Print Network [OSTI]

    Xiao, Yufei

    2009-05-15

    This dissertation attempts to answer some of the vital questions involved in the genetic regulatory networks: inference, optimization and robustness of the mathe- matical models. Network inference constitutes one of the central goals of genomic...

  6. Investigating Database Security in a Networked Environment

    E-Print Network [OSTI]

    Wagner, Paul J.

    Investigating Database Security in a Networked Environment Matthew Giuliani Computer Science wagnerpj@uwec.edu Abstract Database and network security have traditionally been separate fields within flowing between client and database systems. Although vender specific information is available for many

  7. Genomic Regulatory Networks, Reduction Mappings and Control 

    E-Print Network [OSTI]

    Ghaffari, Noushin

    2012-07-16

    . This dissertation uses BNps, to model gene regulatory networks with an intent of designing stationary control policies (CP) for the networks to shift their dynamics toward more desirable states. Markov Chains (MC) are used to represent the PBNs and stochastic...

  8. Re-engineering knowledge networks for development

    E-Print Network [OSTI]

    Raghavan, Amrith, 1976-

    2004-01-01

    This thesis examines the evolution of Internet based knowledge networks (e-knowledge networks) in the domain of sustainable development. The objective of this thesis is to use an engineering systems approach to understand ...

  9. An analysis of international transportation network

    E-Print Network [OSTI]

    Chiu, Yu-Yen

    2005-01-01

    This thesis discusses a network design problem based on a case study with a footwear company, which intends to minimize total supply chain costs by establishing a distribution network which bypasses its primary distribution ...

  10. Optimal static pricing for a tree network

    E-Print Network [OSTI]

    Caro, Felipe

    We study the static pricing problem for a network service provider in a loss system with a tree structure. In the network, multiple classes share a common inbound link and then have dedicated outbound links. The motivation ...

  11. Online Social Networks and People's Psychology

    E-Print Network [OSTI]

    Hoang, Hai

    2013-01-01

    Journal of Educational Psychology 98 (2006): 198-208. 14 “Networks and People’s Psychology III. Measures The currentSocial Networks and People’s Psychology Graph 2. Correlation

  12. 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. In addition to presenting the general results with respect to the maximum sustainable throughput of wireless

  13. An algorithmic approach to social networks

    E-Print Network [OSTI]

    Liben-Nowell, David

    2005-01-01

    Social networks consist of a set of individuals and some form of social relationship that ties the individuals together. In this thesis, we use algorithmic techniques to study three aspects of social networks: (1) we analyze ...

  14. Scaling in topological properties of brain networks

    E-Print Network [OSTI]

    Singh, Soibam Shyamchand; Ishrat, Romana; Sharma, B Indrajit; Singh, R K Brojen

    2015-01-01

    The organization in brain networks shows highly modular features with weak inter-modular interaction. The topology of the networks involves emergence of modules and sub-modules at different levels of constitution governed by fractal laws. The modular organization, in terms of modular mass, inter-modular, and intra-modular interaction, also obeys fractal nature. The parameters which characterize topological properties of brain networks follow one parameter scaling theory in all levels of network structure which reveals the self-similar rules governing the network structure. The calculated fractal dimensions of brain networks of different species are found to decrease when one goes from lower to higher level species which implicates the more ordered and self-organized topography at higher level species. The sparsely distributed hubs in brain networks may be most influencing nodes but their absence may not cause network breakdown, and centrality parameters characterizing them also follow one parameter scaling la...

  15. Mathematical Programming techniques in Water Network Optimization

    E-Print Network [OSTI]

    2014-03-05

    Mar 5, 2014 ... mand forecasts and electricity price tariffs are usually given for discrete and not ..... Tanks can make the operation of the network more flexible. In a dynamic setting, ...... Gas transmission networks are con- sidered, with flow ...

  16. Physical layer model design for wireless networks 

    E-Print Network [OSTI]

    Yu, Yi

    2009-06-02

    Wireless network analysis and simulations rely on accurate physical layer models. The increased interest in wireless network design and cross-layer design require an accurate and efficient physical layer model especially when a large number of nodes...

  17. Poisoning the Kad Network Thomas Locher1

    E-Print Network [OSTI]

    Poisoning the Kad Network Thomas Locher1 , David Mysicka1 , Stefan Schmid2 , and Roger Wattenhofer1 all messages. Additionally, we briefly discuss how our network poisoning attacks can also be used

  18. An Anonymous Social Network of Opinions

    E-Print Network [OSTI]

    Haralabopoulos, Giannis

    2015-01-01

    Research interest on Online Social Networks, has increased dramatically over the last decade, mainly because online networks provide a vast source of social information. Graph structure, user connections, growth, information exposure and diffusion of online social networks, are some of the most frequently researched subjects. However, some areas of these networks are overlooked or even unconsidered, such as anonymity, equality and bias. In the limited bibliography available, such features seem to be influential to social interactions. Based on an extensive thinking of these studies, we aim to determine how universal anonymity affects: bias, user equality, information propagation, sharing and exposure, connection establishment and network structure. Thus we propose a new Anonymous Online Social Network, which will facilitate every type of monitoring and data analysis. A network that will provide an insight to our scientific pursues, which would be impossible to research in traditional Online Social Networks.

  19. Attack, Defense and Contagion in Networks

    E-Print Network [OSTI]

    Goyal, Sanjeev; Vigier, Adrien

    2014-07-30

    maximize value. The presence of contagious threats reinforces this pressure and the empty network remains optimal. There is, however, a range of possible alternatives between concave and convex network value functions. In particular, in some settings...

  20. Essays on social networks in development economics

    E-Print Network [OSTI]

    Chandrasekhar, Arun Gautham

    2012-01-01

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