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. © Springer-Verlag Berlin Heidelberg 2006.
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CITATION STYLE
Xia, Y., Wang, H., Xu, C., & Li, L. (2006). Stochastic modeling and quality evaluation of workflow systems based on QWF-Nets. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3993 LNCS-III, pp. 988–995). Springer Verlag. https://doi.org/10.1007/11758532_134
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