2011
DOI: 10.1088/1742-6596/331/7/072018
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A tool for optimization of the production and user analysis on the Grid, C. Grigoras for the ALICE Collaboration

Abstract: Abstract.With the LHC and ALICE entering a full operation and production modes, the amount of Simulation and RAW data processing and end user analysis computational tasks are increasing. The efficient management of all these tasks, all of which have large differences in lifecycle, amounts of processed data and methods to analyze the end result, required the development and deployment of new tools in addition to the already existing Grid infrastructure. To facilitate the management of the large scale simulation… Show more

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“…The overall CPU efficiency is clearly lower (54% [13]), as user analysis jobs run chaotically, may contain ineffective or wrong user code, and may actually use only little of the data read from the Storage Element. The new LEGO train framework [14] for analysis trains will combine many tasks of user jobs, will test user code before being sent on the grid, and will thereby improve the overall CPU efficiency. Storage is the most challenging service at the moment.…”
Section: Experiencementioning
confidence: 99%
“…The overall CPU efficiency is clearly lower (54% [13]), as user analysis jobs run chaotically, may contain ineffective or wrong user code, and may actually use only little of the data read from the Storage Element. The new LEGO train framework [14] for analysis trains will combine many tasks of user jobs, will test user code before being sent on the grid, and will thereby improve the overall CPU efficiency. Storage is the most challenging service at the moment.…”
Section: Experiencementioning
confidence: 99%