Design and Evaluation of a Resource Selection Framework for Grid Applications

  • Authors:
  • Chuang Liu;Lingyun Yang;Ian Foster;Dave Angulo

  • Affiliations:
  • -;-;-;-

  • Venue:
  • HPDC '02 Proceedings of the 11th IEEE International Symposium on High Performance Distributed Computing
  • Year:
  • 2002

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Abstract

While distributed, heterogeneous collections of computers ("Grids") can in principle be used as a computing platform, in practice the problems of first discovering and then organizing resources to meet application requirements are difficult. We present a general-purpose resource selection framework that addresses these problems by defining a resource selection service for locating Grid resources that match application requirements. At the heart of this framework is a simple, but powerful, declarative language based on a technique called set matching, which extends the Condor matchmaking framework to support both single-resourceand multiple-resource selection. This framework also provides an open interface for loadingapplication-specific mapping modules to personalize the resource selector. We present results obtained when this framework is applied in the context of a computational astrophysics application, Cactus. These results demonstrate the effectiveness of our technique.