Virtual Services in Data Grids

  • Authors:
  • Arun Jagatheesan;Reagan Moore;Arcot Rajasekar;Bing Zhu

  • Affiliations:
  • -;-;-;-

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

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Abstract

Data grids enable next generation scientific explorations that require intensive computation and analysis of petabyte-scale shared data collections. Apart from the challenge in creation and management of the data, another major challenge is the discovery of derived dataproducts that have already been created. This work addresses the later challenge in minimizing response time and conserving the computing cycles in the grids by using"Virtual Services" to access derived data products. We analyze the role of virtual services for long running services in a service-oriented architecture and contribute a technique called "semantic mirror". A prototype was developed to discover derived data products of gridservices using SRB-MCAT technology and GriPhyN Virtual Data Language (VDL).