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International audienceIt 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

Optimization of Jobs Submission on the EGEE Production Grid: Modeling Faults Using Workload