• DocumentCode
    2427675
  • Title

    Workflow Similarity Measure for Process Clustering in Grid

  • Author

    Wang, Yi ; Li, Minglu ; Cao, Jian ; Lin, Xinhua ; Tang, Feilong

  • Author_Institution
    Shanghai Jiao Tong Univ., Shanghai
  • Volume
    4
  • fYear
    2007
  • fDate
    24-27 Aug. 2007
  • Firstpage
    629
  • Lastpage
    635
  • 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 workflow process clustering can promote knowledge discovery 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 process 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 similarity measure approach briefly.
  • Keywords
    data mining; grid computing; pattern clustering; event-condition-action rule; grid resources; grid services; grid workflow process clustering; knowledge discovery; workflow similarity measure; Atomic measurements; Clustering algorithms; Computer science; Databases; Knowledge engineering; Merging; Ontologies; Pattern analysis; Process design; Workflow management software;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
  • Conference_Location
    Haikou
  • Print_ISBN
    978-0-7695-2874-8
  • Type

    conf

  • DOI
    10.1109/FSKD.2007.618
  • Filename
    4406463