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Automatic Services Composition in the Grid Environments

  • Wenju Zhang
  • Fei Liu
  • Shudong Chen
  • Fanyuan Ma
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3993)

Abstract

Different planning techniques have been proposed so far which address the problem of automated composition of web services. However, in realistic cases, the planning problem is far from trivial. Such issue is more serious when services are embraced in grid environments, which are usually resource-conscious. We propose a planning techniques for the automated composition of grid services described in OWL-S process models. The technique allows for the synthesis of plans that encode compositions of grid services with the usual programming constructs. We apply this technique in our DDGrid project and do some preliminary experimental evaluations.

Keywords

Service Composition Grid Environment Grid Service Planning Technique Kripke Structure 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Blythe, J., Deelman, E., Gil, Y.: Automatically Composed workflows for Grid Environments. IEEE Intelligent Systems (2004)Google Scholar
  2. 2.
    Thakkar, S., Knoblock, C., Ambite, J.L.: A View Integration Approach to Dynamic Composition of Web Services. In: Proceedings of ICAPS 2003 Workshop on Planning for Web Services (2003)Google Scholar
  3. 3.
    Cheung, W.K., et al.: Towards Autonomous Service Composition in A Grid Environment. In: Proceedings of the IEEE International Conference on Web Services (ICWS 2004) (2004)Google Scholar
  4. 4.
    Kechkaylo, T.: Planning for Grid Applications with Explicit Reservations. In: The 14Th International Conference on Automated Planning & Scheduling (ICAPS 2004) (2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Wenju Zhang
    • 1
  • Fei Liu
    • 1
  • Shudong Chen
    • 1
  • Fanyuan Ma
    • 1
  1. 1.Shanghai Jiaotong UniversityShanghaiP.R. China

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