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Advancements in Data GRID Technology for High Energy Physics in Japan

This document discusses the implementation of the Data GRID infrastructure within Japan, particularly focusing on high energy physics and its applications. It covers the establishment of the SuperSINET photonic network to enhance data sharing for various research areas like astronomy, fusion science, and nano technology. The paper emphasizes collaborative efforts among institutions such as KEK, TITECH, and University of Tokyo to optimize data transfer and management. Ongoing R&D projects aim to standardize GRID middleware, ensuring effective data analysis and research collaboration on a global scale.

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Advancements in Data GRID Technology for High Energy Physics in Japan

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

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

  3. Network Infrastructure • 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. • 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 • NII organizes coordination groups of the above areas. • HEP, Fusion, Astronomy and Space Science are potential users of Data GRID environment.

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

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

  6. Radio Telescope Array: ALMA International Joint Project 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 km2 Distributed data analysis is required.

  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. K,p,g,e,... e- e+ BB B Factory Experiments BELLE Positron Electron KEK GbE OXC Osaka GbE GbE Tokyo Nagoya

  9. High Energy Physics • 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. SuperSINET (1 - 10 Gbps) Server/ Switch Server/ Switch i-SCSI R&D for Data GRID • 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 • Scalable file system: DAFS (Direct Access File System) ~ TB

  11. R&D for Data GRID 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.

  12. Collaboration on Data GRID • 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 • Collaboration with LHC Data GRID • iVDGL • AIST and TITECH cooperate with iVDGLAIST: Nat’l Inst. of Advanced Industrial Science and Technology(Tsukuba) TITECH: Tokyo Institute of Technology(Tokyo)

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

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