Grid resource ranking using low-level performance measurements

  • Authors:
  • George Tsouloupas;Marios D. Dikaiakos

  • Affiliations:
  • Dept. of Computer Science, University of Cyprus, Nicosia, Cyprus;Dept. of Computer Science, University of Cyprus, Nicosia, Cyprus

  • Venue:
  • Euro-Par'07 Proceedings of the 13th international Euro-Par conference on Parallel Processing
  • Year:
  • 2007

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Abstract

This paper outlines a feasible approach to ranking Grid resources based on an easily obtainable application-specific performance model utilizing low-level performance metrics. First, Grid resources are characterized using low-level performance metrics; Then the performance of a given application is associated to the low-level performance measurements via a Ranking Function; Finally, the Ranking Function is used to rank all available resources on the Grid with respect to the specific application at hand. We show that this approach yields accurate results.