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  1. Developmentof an Interdisciplinary fragmentof the Russian Grid segment: state of the art A.Joutchkov*, N.Tverdokhlebov*, S.Arnautov**, A.Yanovsky**, Y.Lyssov***, A.Cherny*** *Telecommunication Center “Science & Society” ** Institute for Chemical Physics RAS *** Institute for Molecular Biology RAS

  2. Telecommunication Centre “Science and Society” Moscow Communication Backbone Ministry of Science Scientific Society “Open Society” Institute State Institute of Information Technologies and Telecommunications Association of Scientific Societies of Russia “Science and Society”

  3. Our areas of interest • Telecommunication Grid infrastructure – Gigabit backbone development and maintenance. • Biomedical metacomputing – Grid-based decisions for large-scale computing tasks in biology and health care. • Investigating Grid-related aspects of knowledge networks (KN). • Grid-services providing using specialized portals for interested users (scientific organizations mainly).

  4. Institute for Virusology RGridin Moscow Institute for Biomedical Chemistry SINP MSU – Institute for Nuclear Physics at MSU Science & Society – There we are IOC – Institute for Organic Chemistry EIMB – Institute for Molecular Biology ITEP – Institute for Theoretical and Experimental Physics IITP – International Institute for Theory of Earthquake Prognosis RSSI – Research Space Science Institute М9 – Gateway to World - Prospective Moscow Medical Academy National Research Center for Surgery State Scientific Center for Immunology

  5. С5505 … … … С3524 С3524 С3524 С3524 С3524 С3524 С3524 С3524 … … … … … … … … С5505 … … … Backboneof the RGrid Gatewayto YuMOS M9 Gateway toCOSMOS RbNet RSSI IITP Gateway toRUHEP Science & Society320 SI95, 0.28 TB SINP MSU EIMBRAS ITEP IOC RAS ICP RAS GENOMEResources Gateway toFREENET GBI RAS SCC MSU GigaEthernet 1GB/s … future connections FastEthernet 100 MB/s

  6. GRID – InterdisciplinaryProject • Unifying resources • Grid Technologies (Globus, …) • Grid Teams(Working groups, Testbeds, …) • Distributed Computation Implementation (LCG, BLAST,...) • “Knowledge networks” development (Genomics,Health Care, Ecology, Chemistry)

  7. “Science & Society”for Russian HEP Grid LHC Our Grid experiments role activity ALICEdistributed computations Communication using RGrid clusters ATLAS backbone, Grid control CMS softwareTestbed 0, Testbed 1, … WP 6 LHCb

  8. “Science & Society”forComputational Biology Computational complexity DNA Length Bacteria 1-3.106 Plants 1-5.108 You and me 4.109

  9. С3524 С3524 … … BioGrid subsegment Science & Society320 SI95, 0.28 TB EIMBRAS IOC RAS С3524 … GBI RAS ICP RAS IBCP RAS Farm-central farm1 Windows Cluster of EIMB S & S Cluster farm2 farm3 farm4 Institute for Biomedical Chemistry will be connected in 2002 Virusology Institute GigaEthernet (1,0 Gb/s) FastEthernet (100 Mb/s)

  10. BLASTexperiment on RGrid:Web-portal for BLAST users Distributed computation schema

  11. blast.exe blast.exe blast.exe blast.exe BLAST experiment on “Grid”(1st step - without Globus) User Query BLAST-run daemon Farm-central Data transfer daemon GUI Windows Cluster of EIMB farm1 Data daemon BLAST-end daemon farm2 farm3 Data area farm4 execution computers

  12. BLASTexperiment : Search Results

  13. blast.exe blast.exe blast.exe blast.exe BLAST experiment under PBS (2nd step – still without Globus) User Query PBS-server Queue server and Task estimator Farm-central GUI www.rgrid.ru farm1 farm2 farm3 farm4 Windows Cluster of EIMB execution computers

  14. blast.exe blast.exe blast.exe blast.exe BLAST experiment on Grid(3rd step – trying Globus) User Query User autentification and autorization PBS-server Farm-central GRAM GUI www.rgrid.ru farm1 farm2 farm3 farm4 Windows Cluster of EIMB execution computers

  15. Knowledge Networks – a new level of data integrationInvestigating Grid-aware aspectsof KN development

  16. Simple-way www-interaction

  17. Thin portal(1st step - links to services and resources)

  18. Thick portal(2nd step - searching, collecting and messaging)

  19. Broker( 3rd element)

  20. Metadata formatsfor Data Collections • Dublin Core (15 elements); • Dublin Core with qualificators; • Learning Object Metadata; • MARC (21, Rus); • Content Standard for Digital Geospatial Metadata (FGDC); • Encoded Archival Description (EAD).

  21. What further? • We are going: • Develop requirements for hardware, software and middleware architecture of interdisciplinary Grid-node by experiments with Biomedical, HEP and Chemical tasks. • Develop appropriate list of metadata formats to construct Knowledge Network prototypes. • Develop requirements and specifications for common and specialized web-interfaces as GUI to Grid.