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.
['Diane Lingrand', 'Johan Montagnat', 'Janusz Martyniak', 'David Colling']
Optimization of Jobs Submission on the EGEE Production Grid: Modeling Faults Using Workload