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.
Supported by the National Natural Science Foundation of China under Grant No. 60173002 and the National Grand Fundamental Research 973 Program of China under Grant No. 2002CB312004.
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References
Klingemann, J., Waesch, J., Aberer, K.: Deriving Service Models in Cross-OrganizationalWorkflows. In: Proceedings of Int’l Workshop on Reasearch Issues in Data Engineering (RIDE), pp. 100–107 (1999)
Cardoso, J., Sheth, A., Miller, J., Arnold, J., Kochut, K.: Quality of service for workflows and web service processes. Elsevier Transaction on web semantics 1(3), 281–308 (2004)
Tan, Z., Lin, C., Yin, H., Hong, Y., Zhu, G.: Approximate Performance Analysis of Web Services Flow Using Stochastic Petri Net. In: Jin, H., Pan, Y., Xiao, N., Sun, J. (eds.) GCC 2004. LNCS, vol. 3251, pp. 193–200. Springer, Heidelberg (2004)
Jaeger, M.C., Rojec-Goldmann, G., Muhl, G.: QoS Aggregation in Web Service Compositions. In: Proceedings of IEEE International Conference on e-Technology, e-Commerce and e-Service EEE 2005, pp. 181–185 (2005)
Lin, C., Qu, Y., Ren, F., Marinescu, D.C.: Performance Equivalent Analysis of Workflow Systems Based on Stochastic Petri Net Models. In: Proceedings of 1st International Conference on Engineering and Deployment of Cooperative Information Systems, pp. 64–79 (2002)
Li, J., Fan, Y., Zhou, M.: Performance Modeling and Analysis of Workflow. IEEE transaction on Systems, Man, and Cybernetics Part A: Systems and Humans 34(2), 229–242 (2004)
Gillmann, M., Weissenfels, J., Weikum, G., Kraiss, A.: Performance and Availability Assessment for the Configuration of Distributed Workflow Management Systems. In: Proceedings of 7th International Conference on Extending Database Technology, pp. 183–201 (2000)
Gillmann, M., Weikum, G., Wonner, W.: Workflow Management with Service Quality Guarantees. In: Proceedings of ACM SIGMOD International Conference on Management of Data, pp. 228–239 (2002)
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Xia, Y., Wang, H., Xu, C., Li, L. (2006). Stochastic Modeling and Quality Evaluation of Workflow Systems Based on QWF-Nets. In: Alexandrov, V.N., van Albada, G.D., Sloot, P.M.A., Dongarra, J. (eds) Computational Science – ICCS 2006. ICCS 2006. Lecture Notes in Computer Science, vol 3993. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11758532_134
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DOI: https://doi.org/10.1007/11758532_134
Publisher Name: Springer, Berlin, Heidelberg
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