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azScience R

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Subaru JSF. Subaru JSF, HDx1000/DVTS MeetingPlace. AMS Expo ... Deep Impact Visual in HD from Subaru. Sharing exotic instruments: ... – PowerPoint PPT presentation

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Title: azScience R


1
a-z-Science RDthrough practice
  • Yoichi Shinoda
  • WIDE Project /
  • Japan Advanced Institute ofScience and
    Technology (JAIST)

2
Science RD examples at WIDE project
  • Numerous HD transmission experiments
  • High-speed data transmissions
  • (Joint with Data Reservoir Project)
  • Sharing exotic instruments/facilities
  • Large telescopes
  • High energy electron microscopes
  • Multi-purpose testbed facilities
  • Distributed climate sensor networks

3
HD transmission (compressed and non-compressed)
Experiences
  • JGN2 Symposium 2005 _at_ Osaka
  • Univ. Washington (SEA) Osaka,
    iHD1500/NA3000/DVTS
  • SFC Osaka, i-Visto/DVTS
  • Interop Tokyo 2005
  • Expo Messe, i-Visto/HDx1000/DVTS
  • Deep Impact
  • Subaru Tokyo, HDx1000/DVTS
  • Subaru Expo
  • Subaru Expo, HDx1000/DVTS
  • Subaru JSF
  • Subaru JSF, HDx1000/DVTS MeetingPlace
  • AMS Expo
  • SURFnet (AMS) Expo, i-Visto/DVTS
  • AMS/PEK Expo
  • SURFnet (AMS)/PEK Expo, i-Visto/HDx1000/MPEG2-TS
    /DVTS

4
HD transmission network example
5
Sharing exotic instrumentsDeep Impact Visual in
HD from Subaru
6
Sharing exotic instrumentsUltra High Voltage EM
at Osaka controlled from SDSC
Control and Image Aquisision _at_ SDSC
Control
Image
Ultra High-Voltage Electric Microscope _at_ Osaka,
Japan
7
Linking multiple facilities in-lineDDoS
attack/traceback simulation
  • Suggesting
  • Expanding capacity of facilities.
  • Creation of new facilities.
  • Source process sink structure in networked
    Science.

Intermediate network emulation StarBED
Internet Simulator (Large ReconfigurablePC
Cluster)
Attacker emulation SIOS VulnerabilityDatabase _at_
NiCT Koganei
Victim emulation VMNebula _at_ NiCT Kobe
8
Importance of testbed activities
  • Different area of science has different
    properties and requirements.
  • How (and how much, how fast) data is produced and
    consumed.
  • Delay jitter tolerance, buffering behaviors.
  • Instrumentation interfaces.
  • Many of these properties and requirements usually
    surface only through actual experiments.
  • (Even for concerning scientists!)
  • Area (even application) specific analysis and
    trouble shooting methods.
  • Support mechanisms.

9
Global collaboration structure ofnetwork
infrastructure and sciences
  • Science is essentially International
  • Focus on International collaboration of various
    activities.
  • Global Infrastructure as catalyst to
    accelerate international Science activities.
  • Mutual benefit between Science and
    Infrastructure
  • Accumulation of experiences.
  • Feedback into global infrastructure control/data
    plane design.
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