A.Joutchkov , N.Tverdokhlebov , S.Arnautov , A.Yanovsky , Y.Lyssov , A.Cherny *Telecommunication Center “Science & Society” ** Institute for.

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Presentation transcript:

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 Development of an Interdisciplinary fragment of the Russian Grid segment: state of the art

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

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).

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 RGrid in Moscow Moscow Medical Academy Institute for Biomedical Chemistry National Research Center for Surgery Institute for Virusology State Scientific Center for Immunology

Backbone of the RGrid ITEP IOC RAS Science & Society 320 SI95, 0.28 TB SINP MSU SCC MSU Gateway to FREENET Gateway to YuMOS Gateway to COSMOS Gateway to RUHEP ICP RAS EIMB RAS RbNet С3524 … FastEthernet 100 MB/s GigaEthernet 1GB/s GENOME Resources IITP RSSI M9 … … … С5505 … … … С3524 … … … … … future connections С3524 … … … GBI RAS

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

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

DNA Length Bacteria Plants You and me Computational complexity “ Science & Society” for Computational Biology

BioGrid subsegment IOC RAS Science & Society 320 SI95, 0.28 TB ICP RAS IBCP RAS EIMB RAS FastEthernet (100 Mb/s) GigaEthernet (1,0 Gb/s) С3524 … … … GBI RAS Windows Cluster of EIMB farm1 farm2 farm3 farm4 Farm-central S & S Cluster Institute for Biomedical Chemistry Virusology Institute will be connected in 2002

BLAST experiment on RGrid : Web-portal for BLAST users Distributed computation schema

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

BLAST experiment : Search Results

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

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

Knowledge Networks – a new level of data integration Investigating Grid-aware aspects of KN development

Simple-way www-interaction

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

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

Broker ( 3 rd element)

Metadata formats for 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).

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.