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

Developmentof an Interdisciplinary fragment

of the Russian Grid segment: state of the art

Telecommunication Centre “Science and Society”

“Science and Society”

Association of ScientificSocieties of Russia

State Institute ofInformation Technologiesand Telecommunications

“Open Society” Institute

MoscowCommunication

BackboneMinistry of Science Scientific 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

RGridin Moscow

Moscow Medical

Academy

Institute for

Biomedical Chemistry

National Research Center for Surgery

Institute for Virusology

StateScientific Center for

Immunology

Backbone of the RGrid

ITEPIOC RAS

Science & Society320 SI95, 0.28 TBSINP MSU

SCC MSU

Gateway to FREENET

Gatewayto YuMOS

Gateway toCOSMOS

Gateway to RUHEP

ICP RAS

EIMB RAS

RbNet

С3524…

FastEthernet 100 MB/s

GigaEthernet 1GB/s

GENOMEResources

IITPRSSI

M9

……

…

С5505

……

…

С5505

С3524…

С3524…

С3524…

С3524…

… future connections

С3524…

С3524…

С3524…

GBI RAS

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)

“Science & Society”for Russian HEP Grid

ALICE distributed computations Communication using RGrid clusters

ATLAS backbone, Grid controlCMS software Testbed 0, Testbed 1, … WP 6

LHCb

LHC Our Gridexperiments role activity

DNA LengthBacteria 1-3.106

Plants 1-5.108

You and me 4.109

Computationalcomplexity

“Science & Society”for Computational Biology

BioGrid subsegment

IOC RAS

Science & Society320 SI95, 0.28 TB

ICP RASIBCP RAS

EIMB RAS

FastEthernet (100 Mb/s)

GigaEthernet (1,0 Gb/s)

С3524…

С3524…

С3524…

GBI RAS

Windows Clusterof EIMB

farm1

farm2

farm3

farm4

Farm-central

S & SCluster

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”

(1st step - without Globus)

Windows Clusterof EIMB

Farm-central

farm1

farm2

farm3

farm4

UserQuery

blast.exe

blast.exe

blast.exe

blast.exe

executioncomputers

GUI

BLAST-run daemon

BLAST-end daemon

Datatransfer daemon

Data area

Data daemon

BLAST experiment : Search Results

BLAST experiment under PBS (2nd step – still without Globus)

Windows Clusterof EIMB

Farm-central

farm1

farm2

farm3

farm4

UserQuery

blast.exe

blast.exe

blast.exe

blast.exe

executioncomputers

GUIwww.rgrid.ru

PBS-server

Queue serverand

Task estimator

BLAST experiment on Grid(3rd step – trying Globus)

Windows Clusterof EIMB

Farm-central

farm1

farm2

farm3

farm4

UserQuery

blast.exe

blast.exe

blast.exe

blast.exe

executioncomputers

GUIwww.rgrid.ru

PBS-server

GRAM

Userautentification

and autorization

Knowledge Networks – a new level of data integration

Investigating Grid-aware aspectsof KN development

Simple-way www-interaction

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

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

Broker ( 3rd element)

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).

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.