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  • 1. Opportunities for Ubiquitous networks Hans-Werner Braun NLANR (UCSD/SDSC) [email_address] http://www.nlanr.net
  • 2. Goals and objectives for our network measurement and analysis activities
    • Creation of an infrastructure to support measurements and network analysis
      • header traces, performance, statistics, routing
      • high performance networking environments
    • Network measurement and analysis research activities
    • Support of outside researchers with data and other help
    • Tool development for analysis and visualizations
    • Result reporting for the high performance environment
      • web interface
      • newsletter (Network Analysis Times)
      • published papers
  • 3. Passive measurement deployment status NCAR U. Colorado, Boulder AIX/MAE-West NASA-Ames Argonne Nat. Lab U. of Michigan Michigan State U. Ohio State U. STARTAP/APAN Rice U. Baylor College of Medicine U. of Houston Texas A&M U. Old Dominion U. MCNC North Carolina State U. U. of North Carolina Duke U. U. of Florida Miami U. Florida State U. 25 November 1999 SDSC, U. California, San Diego NCSA FIX-West Tel Aviv U. (I-2) FDDImon OC3mon OC12mon collaboration discussions
  • 4. Optical splitters
  • 5. Status of passive measurements activities
    • Current situation:
      • packet trace data in http://moat.nlanr.net/Traces
      • pre-analyzed data in http://moat.nlanr.net/Datacube
      • 15 active OC3 ATM sites
      • one active FDDI monitor
      • 2 active OC12 ATM sites
    • Near to medium term future:
      • deploying approximately 24 more passive machines
        • using the DAG3 technology, OC3 or OC12
        • POS and ATM capability
        • in collaboration with Abilene/I2
  • 6. Active measurement deployment status 23 February 2000 UCSD SDSU UIowa Princeton Dartmouth NCREN/NCSC BU UCSC NCSA UMass GATech UCB CSU-SB UCBoulder NCAR Harvard SDSC UMiami Duke CMU/PSC UAB UWashington FSU UWyoming FNAL UWisc- Milwaukee UNC-CH UArizona UC-Irvine UWaikato NTNU NSF SDSMT Oklahoma State Washington State U. Stanford UCLA UVirginia UDel UKansas UFlorida UMd UNM UA UVermont UOregon Kansas State MIT JHU ColoState Rice WUSTL IU UMissouri Mississippi State ODU Montana State NCSU UCF NDSU Emory U. WVU UMich SLAC GMU URochester MSU Yale USF UofUtah CSUPomona Columbia Iowa State PSU SMU UPenn UMBC Georgetown UAH UIC UAlaska UWisc UofOklahoma UC NWU ACCESS ASU Vanderbilt Oregon State Startap MTU WSU UofGeorgia UConn UTK UHawaii UIUC NMSU
  • 7. Major goals for AMP
    • Have a joint research/engineering agenda for the high performance community
    • third party site-to-site measurements between NSF supported HPC sites
      • to complement the intra-HPNSP measurements
      • to provide a common point of understanding of performance issues between HPNSPs and users
      • to work towards user-user and application-application performance assessments
    • to provide a base for further research
  • 8. Active measurement environment HPC backbone network Site (campus) Site (campus) Dept/ user Dept/ user Dept/ user Dept/ user Dept/ user Dept/ user inner perimeter site perimeter user/application perimeter
  • 9. IP use and plen matrices
  • 10. Cichlid 2
  • 11. Collaborations
    • availability of network workload and performance data and software to gain more insight into the Internet fabric
    • opportunity to involve more students and faculty; thesis projects
      • hosting of visiting researchers
      • local (UCSD) student involvement
      • faculty and student collaborations with other sites
      • collaborators have to be self-guided to a large extend
  • 12. Create high performance networks -- where no network has gone before…. (well, where it is uneconomical for commercial providers….)
    • Understand and define actual needs
    • Coopt needy constituents
    • Try to coopt colleagues with prior experiences
    • Look for funding
    • Collaborate and cost/effort share
    • Create multi-usage, multi-constituent environment
  • 13. High Performance Wireless Research and Education Network case study
  • 14. The need for speed?
    • What constitutes network performance
      • raw bandwidth?
      • availability?
      • real-time communication, predictable response times?
      • total ubiquity, quick setup on a need basis?
      • affordability?
    • What do YOU need? What are YOUR performance metrics?
      • Earthquake sensors: low bandwidth, predictability, ubiquity?
      • Ecologist’s telemetry: low bandwidth, predictability, ubiquity?
      • Astronomer data: high bandwidth, not necessarily continuously?
      • Education: availability, high bandwidth opportunity
      • Field researchers: . . . .
      • Researchers living in rural areas: . . . .
  • 15. Participants of a local project
    • National Laboratory for Applied Network Research
      • measurement and network analysis group
    • Scripps Institution of Oceanography
    • San Diego Supercomputer Center
    • School of Engineering
      • Center for Wireless Communications
    • San Diego State University
      • Astronomy department
  • 16. Needs for multi-level ubiquity, create structure
    • backbone infrastructure
      • e.g., creating a geographic “corridor”
    • fixed in-zone services, e.g.:
      • reaching residential houses (high volume, bursty)
      • remote telemetry sites (earthquake sensors, low volume, high priority)
    • mobile services
      • omni-directional, perhaps at reduced data rates
    • in-building communications, e.g.:
      • residential house
      • campus building
  • 17. Topology considerations 20km 10km
  • 18. Wireless environment
    • meshed infrastructure as an enabler for
      • systemic integration of wireless technologies
      • “ inclusive” and “open-ended” project
      • multi-technology
      • multi-vendor
      • multi-objectives
        • wide area
        • local area (including in-building)
        • multiple communities
          • researchers (e.g., geophysics, astronomy, ecology)
          • telemetry needs
          • disadvantaged communities (e.g. native res locations)
        • various applications
  • 19. Some issues for an integrated system
    • system performance assessments and metrics
    • how to centrally control access (MAC filters?)
    • how to prioritize traffic (at RF level, based on MAC addresses?)
    • utilizing unlicensed spectrum
    • how to integrate new and interoperable technologies
    • access to microwave towers to create the backbone
    • RF radiation concerns
    • integration of capillary nodes (e.g., laptops)
    • integration of data generators (e.g., seismic sensors)
    • integration of a campus infrastructure (e.g., UCSD’s wireless trial)
    • and of course -- funding (industrial partnerships, agencies)
  • 20. Available unlicensed spread spectrum ranges 0.9 GHz (26 MHz allocated spectrum) 2.4 GHz (83.5 MHz allocated spectrum) 5.8 GHz (300 MHz allocated spectrum) 24 GHz (250 MHz allocated spectrum) 60 GHz (5000 MHz allocated spectrum)
  • 21. Stephenson Peak
  • 22. Initial prototype backbone level-1 level-2
  • 23. Prototype system measure- ment p-mp radio p-p radio Weather station measure- ment NAT gateway p-p radio Weather station measure- ment p-p radio Amplifier Weather station SDSC router commodity HPC p-p radio laptop Hans-Werner Braun location Doug Bartlett location (SIO Microbiologist) Mt. Woodson backbone site UCSD/SDSC backbone site Amplifier F i l t Amplifier F i l t UCSD SDSC
  • 24. Proposed backbone topology Palomar Mountain UCSD Mt. Woodson Cuyamaca Peak Mt. Laguna Otay Peak Towards Toro Peak
  • 25. Backbone node layout IP router measurement host (PMA & AMP) application host wide area component local area component environment telemetry P-P backbone radio P-P backbone radio P-P backbone radio P-MP local radio
  • 26. View towards UCSD
  • 27. View towards Ramona
  • 28. Mt. Woodson commercial microwave tower SDSC roof Ramona connection points of prototype network sites
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