[a-z]-Science R&Dthrough practice

Yoichi ShinodaWIDE Project /

Japan Advanced Institute ofScience 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 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

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 ElectricMicroscope @ Osaka, Japan

Control and Image Aquisision @ SDSC

Control

Image

JGN2

Linking multiple facilities “in-line”DDoS attack/traceback simulation

Attacker emulationSIOS VulnerabilityDatabase @ NiCT Koganei

Intermediate network emulationStarBED InternetSimulator(Large ReconfigurablePC Cluster)

Victim emulationVMNebula@ 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 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.