Optimization of jobs submission on the EGEE production grid: modeling faults using workload

Abstract : It is commonly observed that production grids are inherently unreliable. The aim of this work is to improve grid application performances by tuning 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 for optimizing a simple job resubmission strategy. It provides quantitative inputs to improve job submission performance and it enables the impact of faults and outliers on grid operations to be quantified.
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Journal of Grid Computing, Springer Verlag, 2010, 8 (2), pp.305-321. 〈10.1007/s10723-010-9151-2〉
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Diane Lingrand, Johan Montagnat, Janusz Martyniak, David Colling. Optimization of jobs submission on the EGEE production grid: modeling faults using workload. Journal of Grid Computing, Springer Verlag, 2010, 8 (2), pp.305-321. 〈10.1007/s10723-010-9151-2〉. 〈hal-00677775〉

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