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Stochastic Modeling and Quality Evaluation of Workflow Systems Based on QWF-Nets

  • Yunni Xia
  • Hanpin Wang
  • Chunxiang Xu
  • Liang Li
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3993)

Abstract

Quality (QOS) prediction is one of the most important research topics of workflow management system. In this paper, we propose the SWQ approach to analytically evaluate QOS of workflow systems based on QWF-net, which extends traditional WF-net by associating tasks with exponential response time and exponential TTF (time-to-failure). The comparison between simulative and analytical results in the case study indicates that the SWQ approach achieves satisfactory accuracy. The paper concludes with a comparison between the SWQ approach and other related work.

Keywords

Operational Task Quality Evaluation Loop Iteration Satisfactory Accuracy Total Response Time 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Yunni Xia
    • 1
  • Hanpin Wang
    • 1
  • Chunxiang Xu
    • 1
  • Liang Li
    • 1
  1. 1.School of Electronics Engineering and Computer SciencePeking UniversityChina

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