Analyzing the EGEE Production Grid Workload: Application to Jobs Submission Optimization

  • Authors:
  • Diane Lingrand;Johan Montagnat;Janusz Martyniak;David Colling

  • Affiliations:
  • University of Nice - Sophia Antipolis / CNRS, France;University of Nice - Sophia Antipolis / CNRS, France;The Blackett Lab, Imperial College London, UK;The Blackett Lab, Imperial College London, UK

  • Venue:
  • Job Scheduling Strategies for Parallel Processing
  • Year:
  • 2009

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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.