1. Data GRID Activity in Japan Yoshiyuki WATASE KEK (High energy Accelerator Research Organization) Tsukuba, Japan Yoshiyuki.Watase@kek.jp

2. Contents l Network Infrastructure l Application candidates of Data GRID l High Energy Physics in Japan l R&D in Data GRID l Collaboration on Data GRID l Conclusion

3. Network Infrastructure l The new implementation of the photonic network for Japanese Academic Network: SuperSINET was approved in this FY2001 and will be operated by NII: National Institute of Informatics. l Five research areas have been defined as strategic user groups. High Energy Physics and Fusion Science Astronomy and Space Science Nano Technology GRID Computing Bio informatics l NII organizes coordination groups of the above areas. HEP, Fusion, Astronomy and Space Science are potential users of Data GRID environment.

4. SuperSINET Photonic network with OXC Tokyo Hub Osaka Hub Nagoya Hub North Kanto Hub Internet Osaka U Kyoto U ICR Kyoto-U Nagoya U NIFS NIG KE K Tohoku U IMS U-Tokyo NAO U Tokyo NII Hitotsubas hi NII Chiba Internet 10Gbps WDM path : GbE IP router (or Layer3 SW ) OXC ISAS End node services: 10Gbps IP Backbone peer-to-peer GbE links US and Europe

5. Application candidates of Data GRID l Astronomy and Space Science –Radio Astronomical Observation with Realtime VLBI ….on going –Radio Telescope Array at Chile: ALMA (Atacama Large Millimeter/Submillimeter Array) …...2010 l HEP Application –KEKB/Belle experiment ….on going –LHC/Atlas experiment …..2006

6. Europe, Japan and North America Prepare for Joint Construction of the Giant Radio Telescope "ALMA" at Atacama desert in Chile. 12 m Telescope x 64 in 14 km 2 Distributed data analysis is required. Radio Telescope Array: ALMA International Joint Project

7. High Energy Physics KEKB/BELLE –KEKB is the e+ e - collision (3.5 GeV + 8 GeV) experiment to search for CP violation Similar to SLAC/BaBar experiment –Data generated per day = ~ 0.5 TB/day –Sharing data analysis load between KEK and universities: Tokyo, Nagoya, and Osaka. –Resources at KEK: CPU 12,000 SPECint95 Storage 650 TB (tape), 10 TB(disk) BELLE: http://bsunsrv1.kek.jp/

8. B Factory Experiments BELLE Electron Positron e - e + BB K, , ,e,... Nagoya Tokyo Osaka OXC GbE KEK

9. High Energy Physics l LHC/ATLAS –Japan is a member of ATLAS group –Experiment starts in 2006 –Tier 1 Regional Center at Univ. of Tokyo Typical Tier 1 Center would have –200,000 SPECint95 –Storage ( 1/3 of Event Summary Data ) Disk 500TB + Tape 250 TB = Total ~1 PB

10. R&D for Data GRID l Bulk Data/File transfer over gigabit network –“Data Reservoir”... U. Tokyo +Fujitsu Buffered parallel trans Data transfer protocol i-SCSI –WAN Emulator … KEK Long Fat Network emulator with variable latency l Scalable file system: DAFS (Direct Access File System) i-SCSI SuperSINET (1 - 10 Gbps) Server/ Switch Server/ Switch ~ TB

11. Gfarm(Grid Datafarm): AIST, TITECH, KEK 1. PC farm with large local disks 2. Gfarm Filesystem: Prallel file system with Meta Database 3. Large data file is divided and stored into the local disk in parallel by Gfarm parallel I/O API. R&D for Data GRID

12. Collaboration on Data GRID Data GRID l Possible Testbed systems for Data GRID –KEK, TITECH, Univ.Tokyo, AIST –resources and network KEK ~100 CPU + Storage: Local disk +HPSS TITECH ~ 500 CPU funded by JSPS ( $1.2 M) Tokyo ~ 50 CPU l Collaboration with LHC Data GRID l iVDGL –AIST and TITECH cooperate with iVDGL AIST: Nat’l Inst. of Advanced Industrial Science and Technology(Tsukuba) TITECH: Tokyo Institute of Technology(Tokyo)

13. Collaboration on Data DRID l ATLAS Data Challenge (DC) –Demonstration of distributed data analysis DC 0 2001 local test DC 1 Feb. - Jul. 2002 ~1000 PC’s test: CERN + RC’s DC 2 Spring - Autumn 2003 “1/2 scale” test : CERN + All RC –International network connections NII will provide links to US. (planning ~ Gbps in 2003)

14. Conclusions l Data GRID has broad application area in scientific research. l World wide high speed network is essential to our success. l Standardization of GRID middleware is crucial. l R&D are in progress by HEP and CS. l Collaborate with other Data GRID activities l Recent Target is Atlas Data Challenge.