Objective
It is proposed to develop and test the GRID technology model for intensive data production, mass storage and migration in view of the LHC computing requests applicable to domestic conditions characterized by heterogeneousness of computing facilities, storage and networking. This problem stands as important one because a number of regional LHC groups, which are planning to participate in the data analysis (and, probably, in the data production), will have available resources of different capability, from very powerful up to reasonably poor ones. The study of problems of the incorporation of resources located at different conditions in the computational GRID, being discussed as a basic technology for LHC computing model, is in the centre of the work programme.
Four Russian institutes (ITEP and SINP MSU in Moscow, JINR in Dubna and IHEP in Protvino), being basic institutions in the Russian LHC Regional Centre activity, and two European teams, CERN IT (Geneve, Switzerland) and Universite d'Aix (Marseille, France) have decided to
i) join efforts to create an effective computing model for providing the participation of Russian scientists in LHC/CERN experiments;
ii) to investigate a feasibility of the GRID technology in conditions when the connection between some institutes are of very high capacity (of order of Gbit/s) while other have a rather poor connectivity (of order of Mbit/s);
iii) to develop a model for the access of small groups to data bases and powerful computer centres;
iv) to promote the GRID ideas in Russia, in particular in other sciences (in particular in biology and ecology).
The researches will be performed in four directions (tasks):
T1) data transfer and traffic investigation;
T2) investigation of distributive and local data storage;
T3) GRID tools (middleware) in HEP applications; and T4) research of the effectiveness of CPU utilization of the production farms (PC clusters).
Expected results will give Russian HEP institutes a base for elaboration of the Russian LHC Regional Centre at the Tier1/Tier2 levels within the world distributed LHC computing infrastructure. Furthermore, important conclusions will be made for the development of the Russian local segment of the global computational GRID, in particular, for including other sciences (biology, ecology in first order) and industry.
Among expected results:
- optimisation of local networks, specialized for intensive data;
-computing;
- optimal solution (cheapest and most effective) for mass storage;
- increasing the CPU utilization in the global scope;
- possibility to grow essentially the scale of system and subsystems;
- avoiding the deadlocks due to overloading connections system;
- testing a set of batch systems;
- optimisation of the PC farm topology.
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Programme(s)
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Topic(s)
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Funding Scheme
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Coordinator
1211 Geneva 23
Switzerland
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