Matchmaking scientific workflows in grid environments

  • Authors:
  • Yili Gong;Marlon E. Pierce;Geoffrey C. Fox

  • Affiliations:
  • Indiana University, Bloomington, IN;Indiana University, Bloomington, IN;Indiana University, Bloomington, IN

  • Venue:
  • PDCS '07 Proceedings of the 19th IASTED International Conference on Parallel and Distributed Computing and Systems
  • Year:
  • 2007

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Abstract

In this paper we analyze the scientific workflow matchmaking problem in Grid environments and combine workflow mapping and scheduling. Based on the characteristics of Grids, a new resource model is proposed. Motivated by the observations that not all jobs can run on all resources and that resource-critical jobs should be considered with their ancestor and descendant jobs when mapping, a novel resource-critical algorithm is designed based on a new Grid resource model. By means of experiments, it is shown to have good performance.