[a-z]-Science R&D through practice Yoichi Shinoda WIDE Project / Japan Advanced Institute of Science and Technology (JAIST)

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Presentation transcript:

[a-z]-Science R&D through practice Yoichi Shinoda WIDE Project / Japan Advanced Institute of Science and Technology (JAIST)

*Science R&D 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

HD transmission (compressed and non-compressed) Experiences JGN2 Symposium 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

HD transmission network example

Sharing exotic instruments: Deep Impact Visual in HD from Subaru

Sharing exotic instruments: Ultra High Voltage EM at Osaka controlled from SDSC Ultra High-Voltage Electric Osaka, Japan Control and Image SDSC Control Image

JGN2 Linking multiple facilities “in-line” DDoS attack/traceback simulation Attacker emulation SIOS Vulnerability NiCT Koganei Intermediate network emulation StarBED Internet Simulator (Large Reconfigurable PC Cluster) Victim emulation NiCT Kobe Suggesting: Expanding capacity of facilities. Creation of new facilities. “Source – process – sink” structure in networked *Science.

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.

Global collaboration structure of network 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.