Workflow Similarity Measure for Process Clustering in Grid

  • Authors:
  • Yi Wang;Minglu Li;Jian Cao;Xinhua Lin;Feilong Tang

  • Affiliations:
  • Shanghai Jiao Tong University, Shanghai;Shanghai Jiao Tong University, Shanghai;Shanghai Jiao Tong University, Shanghai;Shanghai Jiao Tong University, Shanghai;Shanghai Jiao Tong University, Shanghai

  • Venue:
  • FSKD '07 Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 04
  • Year:
  • 2007

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Abstract

In grid environment, workflow process can be seen as not only cooperative approach of grid services and resources, but also reusable and sharable knowledge to settle specific problem. The research of grid work- flow process clustering can promote knowledge dis- covery and reuse in grid. In this paper, we put forward a grid workflow process design method using Event- Condition-Action (ECA) rule, and propose a new proc- ess similarity measure approach. Then, we use a case to prove the feasibility of the approach and show how to revise present clustering algorithm with the similar- ity measure approach briefly.