Job-resource matchmaking on Grid through two-level benchmarking

  • Authors:
  • A. Clematis;A. Corana;D. D'Agostino;A. Galizia;A. Quarati

  • Affiliations:
  • IMATI-CNR, Via De Marini 6, 16149 Genova, Italy;IEIIT-CNR, Via De Marini 6, 16149 Genova, Italy;IMATI-CNR, Via De Marini 6, 16149 Genova, Italy;IMATI-CNR, Via De Marini 6, 16149 Genova, Italy;IMATI-CNR, Via De Marini 6, 16149 Genova, Italy

  • Venue:
  • Future Generation Computer Systems
  • Year:
  • 2010

Quantified Score

Hi-index 0.00

Visualization

Abstract

Grid environments must provide effective mechanisms able to select the most adequate resources satisfying application requirements. A description of applications and resources, grounded on a common and shared basis, is crucial to favour an effective pairing. A suitable criterion to match demand with supply is to characterize resources by means of their performance evaluated through the execution of low-level and application-specific benchmarks. We present GREEN, a distributed Matchmaker, based on a two-level benchmarking methodology. GREEN facilitates the ranking of Grid resources and the submission of jobs to the Grid, through the specification of both syntactic and performance requirements, independently of the underlying middleware and thus fostering Grid interoperability.