• DocumentCode
    1901322
  • Title

    Control-path Oriented Workflow Intelligence Analysis on EnterprizeWorkflow Grids

  • Author

    Kim, Kwang-hoon

  • Author_Institution
    Dept. of Comput. Sci., KYONGGI Univ., Suwon
  • fYear
    2005
  • fDate
    27-29 Nov. 2005
  • Firstpage
    32
  • Lastpage
    32
  • Abstract
    This paper1 proposes a workflow intelligence and quality improvement framework maximizing the workflow trace- ability and rediscoverability by analyzing the total sequences of the control-path perspective of a workflow model and by rediscovering their runtime enactment history from the workflow log information. The framework needs two kinds of algorithms - One is for generating the total sequences of the control-paths from a workflow model, and the other is for rediscovering the runtime enactment history of each control-path out of the total sequences from the corresponding workflow´s execution logs. Eventually, these rediscovered knowledge and history of a workflow model make up a control-path oriented intelligence of the workflow model, which ought to be an essential ingredient for improving the quality of the workflow model. Based upon the workflow intelligence, it is possible for the workflow model to be gradually refined and finally maximize its quality by repeatedly redesigning, reengineering and/or refining during its whole life-long time period.
  • Keywords
    grid computing; peer-to-peer computing; software quality; workflow management software; control-path oriented workflow intelligence analysis; enterprize workflow grids; quality improvement; rediscoverability; runtime enactment history; workflow log information; workflow traceability; Automatic control; Business communication; Business process re-engineering; Collaborative work; Computer science; History; Humans; Information analysis; Pattern analysis; Runtime;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semantics, Knowledge and Grid, 2005. SKG '05. First International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7695-2534-2
  • Electronic_ISBN
    0-7695-2534-2
  • Type

    conf

  • DOI
    10.1109/SKG.2005.58
  • Filename
    4125820