Optimization of jobs submission on the EGEE production grid: modeling faults using workloadReport as inadecuate




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* Corresponding author 1 Laboratoire d-Informatique, Signaux, et Systèmes de Sophia-Antipolis I3S - Equipe MODALIS SPARKS - Scalable and Pervasive softwARe and Knowledge Systems 2 Imperial College London

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.

Keywords : grid distributed computing workload management probabilistic modeling





Author: Diane Lingrand - Johan Montagnat - Janusz Martyniak - David Colling -

Source: https://hal.archives-ouvertes.fr/



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