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. © 2009 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Lingrand, D., Montagnat, J., Martyniak, J., & Colling, D. (2009). Analyzing the EGEE production grid workload: Application to jobs submission optimization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5798 LNCS, pp. 37–58). https://doi.org/10.1007/978-3-642-04633-9_3
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