• DocumentCode
    2758656
  • Title

    A Method of Workflow Model Performance Analysis Based on the Mechanism of Ant Colony Found Food

  • Author

    Xiao, Zhengjin ; He, Qinming ; Chen, Qi

  • Author_Institution
    Coll. of Comput. Sci., Zhejiang Univ., Hangzhou
  • Volume
    2
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    6983
  • Lastpage
    6987
  • Abstract
    Workflow model performance is an importance problem of workflow modeling. The paper proposed the definition of workflow performance analysis net after expounding the correlation research on workflow model performance analysis. Based on the definition of workflow performance analysis net, a simulation algorithm for solving the average trigger time of active nodes in workflow model is brought up. The error of the simulation algorithm and the design principles of mainly parameter are discussed in detail. Then the performance indicators of workflow model can be computed based on the theory of open Markov queuing network and the average trigger time of active nodes. The usability of the research results presented in the paper is illustrated by the experimental data of a processing of complaints
  • Keywords
    Markov processes; Petri nets; artificial life; indicators; queueing theory; workflow management software; Markov queuing network; ant colony found food; average trigger time solving; performance indicators; simulation algorithm; stochastic Petri nets; workflow performance analysis net; Algorithm design and analysis; Analytical models; Computational modeling; Computer networks; Computer science; Educational institutions; Electronic mail; Helium; Performance analysis; Queueing analysis; performance analysis; simulation algorithm; stochastic petri nets; workflow model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
  • Conference_Location
    Dalian
  • Print_ISBN
    1-4244-0332-4
  • Type

    conf

  • DOI
    10.1109/WCICA.2006.1714439
  • Filename
    1714439