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

2. *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

3. HD transmission (compressed and non-compressed) Experiences JGN2 Symposium 2005 @ 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 instruments: Deep Impact Visual in HD from Subaru

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

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

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 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.