Analyzing the EGEE production grid workload: application to jobs submission optimization

Abstract : Grids reliability remains an order of magnitude below clusters on production infrastructures. This work is aims at improving grid application performances by improving the job submission system. A stochastic model, capturing the behavior of a complex grid workload management system is proposed. To instantiate the model, detailed statistics are extracted from dense grid activity traces. The model is exploited in a simple job resubmission strategy. It provides quantitative inputs to improve job submission performance and it enables quantifying the impact of faults and outliers on grid operations.
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Communication dans un congrès
14th Workshop on Job Scheduling Strategies for Parallel Processing, May 2009, Roma, Italy. Springer, LNCS 5798, pp.37--58, 2009, 〈10.1007/978-3-642-04633-9〉
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Diane Lingrand, Johan Montagnat, Janusz Martyniak, David Colling. Analyzing the EGEE production grid workload: application to jobs submission optimization. 14th Workshop on Job Scheduling Strategies for Parallel Processing, May 2009, Roma, Italy. Springer, LNCS 5798, pp.37--58, 2009, 〈10.1007/978-3-642-04633-9〉. 〈hal-00459077〉

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