Stochastic modeling and quality evaluation of workflow systems based on QWF-Nets

  • Authors:
  • Yunni Xia;Hanpin Wang;Chunxiang Xu;Liang Li

  • Affiliations:
  • School of Electronics Engineering and Computer Science, Peking University, China;School of Electronics Engineering and Computer Science, Peking University, China;School of Electronics Engineering and Computer Science, Peking University, China;School of Electronics Engineering and Computer Science, Peking University, China

  • Venue:
  • ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part III
  • Year:
  • 2006

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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.