• DocumentCode
    3028167
  • Title

    Completion Time Estimation for Instances of Generalized Well-Formed Workflow

  • Author

    Nie, Zuoxian ; Jiang, Xin-Hua ; Liu, Jian-Cheng ; Yang, Haiyan

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Central South Univ., Changsha, China
  • fYear
    2009
  • fDate
    10-12 Aug. 2009
  • Firstpage
    611
  • Lastpage
    616
  • Abstract
    Completion time estimation for workflow instances is an important basis for real time workflow management and scheduling. Current researches on this topic omitted the fact that: instances of workflow that contains OR-SPLIT are certain to bypass some activities, thus at a particular time point, estimation of completion time for workflow instances should be based merely on activities that were already visited by it and are possible to be visited by it in the future. Firstly, rules were proposed to build reachable subnets for workflow instances. Subsequently, the complex problem of completion time estimation for generalized well-formed reachable subnet was decomposed to simpler ones for potential instance subgraphs, which were computed based on active transition performance equivalent model. Lastly, an example was given to demonstrate the process of completion time estimation for generalized well-formed workflow instances.
  • Keywords
    scheduling; workflow management software; OR-SPLIT; completion time estimation; dynamic scheduling systems; generalized well-formed reachable subnet; generalized well-formed workflow; workflow instances; workflow management; Delay; Distributed processing; Dynamic scheduling; Engineering management; Failure analysis; Information science; Performance analysis; State-space methods; Time factors; Workflow management software; performance analysis; reachable subnet; workflow; workflow instance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Processing with Applications, 2009 IEEE International Symposium on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-0-7695-3747-4
  • Type

    conf

  • DOI
    10.1109/ISPA.2009.43
  • Filename
    5207872