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基于QoS机率分配的网路服务选择方法

【中文摘要】:服务导向架构提供网路服务组合一个弹性的框架。一个网路服务组合可以由工作流程来表示,并且对于工作流程当中的每一个任务,一些提供相同功能的候选服务是可用的。
在先前的研究当中(Hwang, Hsu, & Lee, 2014),基于模拟组成元件服务的服务质量机率分布提出一个网路服务选择架构。先前的方法在拆解服务品质限制的阶段使用了每一个候选服

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center]务平均QoS值。然而,候选服务之间异质性的偏差可能会导致不正确的任务服务质量预测。
我们提出一个方法考虑到服务质量机率分布的标準差并且选出一组初始挑选服务。服务挑选的目的是获得最大化的global QoS conformance。基于服务质量机率分布,实验结果显示我们提出的方法改善了先前方法在服务挑选的表现。
【英文摘要】:Service-Oriented Architecture (SOA) provides a flexible framework for service composition. A composite web service is represented by a workflow, and for each task with

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in the workflow, several candidate Web services which offer the same functionality may be available. In previous work (Hwang, Hsu, & Lee, 2014), Hwang et al. propose a service selection framework based on probabilistic QoS distributions of component services. Their method decomposes a global QoS constraint into a number of local constraints using the average QoS value of each candidate service. However, heterogeneous deviation among candidate services may lead to the suboptimal selection. We propose an initial service assignment finding method with considering the standard deviation of QoS distributions. The objective of service selection is to maximize the global QoS conformance. Experimental results show that the proposed approach significantly improves the performance in probabilistic QoS-based service selection method, in terms of both global QoS conformance and running time.
【参考文献】:

  • Alrifai, M., & Risse, T. (2009). Combining global optimization with local selection for efficient QoS-aware service composition. Paper presented at the Proceedings of the 18th international conference on World wide web.
  • Hwang, S.-Y., Hsu, C.-C., & Lee, C.-H. (2014). Service Selection for Web Services with Probabilistic QoS. to appear in IEEE Transactions on Service Computing.
  • Hwang, S.-Y., Wang, H., Tang, J., & Srivastava, J. (2007). A probabilistic approach to modeling and estimating the QoS of web-services-based workflows. Information Sciences, 177(23), 5484-5503.
  • Li, M., Huai, J., & Guo, H. (2009). An Adaptive Web Services Selection Method Based on the QoS Prediction Mechanism. Paper presented at the Web Intelligence and Intelligent Agent Technologies, 2009. WI-IAT”09. IEEE/WIC/ACM International Joint Conferences on.
  • Liu, D., Shao, Z., Yu, C., & Fan, G. (2009). A heuristic QoS-aware service selection approach to web service composition. Paper presented at the Computer and Information Science, 2009. ICIS 2009. Eighth IEEE/ACIS International Conference on.
  • Zheng, H., Yang, J., & Zhao, W. (2010). QoS probability distribution estimation for web services and service compositions. Paper presented at the Service-Oriented Computing and Applications (SOCA), 2010 IEEE International Conference on.
  • L. Zeng, B. Benatallah, A. H. H. Ngu, M. Dumas, J. Kalagnanam, and H. Chang, "QoS-Aware Middleware for Web Services Composition," IEEE Transactions on Software Engineering, vol. 30, pp. 311-327, 2004.
  • D. Schuller, U. Lampe, J. Eckert, R. Steinmetz, and S. Schulte, "Cost-Driven Optimization of Complex Service-Based Workflows for Stochastic QoS Parameters," in 2012 IEEE 19th International Conference on Web Services (ICWS”12), 2012, pp. 66-73.
  • Mehdi, M., Bouguila, N., & Bentahar, J. (2012, June). Trustworthy web service selection using probabilistic models. In Web Services (ICWS), 2012 IEEE 19th International Conference on (pp. 17-24). IEEE.
  • Zivkovic, M., Bosman, J. W., van den Berg, H., van der Mei, R., Meeuwissen, H. B., & Nunez-Queija, R. (2012, March). Run-time revenue maximization for composite web services with response time commitments. In Advanced Information Networking and Applications (AINA), 2012 IEEE 26th International Conference on (pp. 589-596). IEEE.
  • Ivanovic, D., Kaowichakorn, P., & Carro, M. (2013, May). Towards QoS prediction based on composition structure analysis and probabilistic environment models. In Principles of Engineering Service-Oriented Systems (PESOS), 2013 ICSE Workshop on (pp. 11-20). IEEE.
  • Zheng, H., Zhao, W., Yang, J., & Bouguettaya, A. (2013). Qos analysis for web service compositions with complex structures. Services Computing, IEEE Transactions on, 6(3), 373-386.
  • Rosenberg, F., Muller, M. B., Leitner, P., Michlmayr, A., Bouguettaya, A., & Dustdar, S. (2010, July). Metaheuristic optimization of large-scale qos-aware service compositions. In Services Computing (SCC), 2010 IEEE International Conference on (pp. 97-104). IEEE.
  • Schuller, D., Polyvyanyy, A., García-Bañuelos, L., & Schulte, S. (2011). Optimization of complex qos-aware service compositions. In Service-Oriented Computing (pp. 452-466). Springer Berlin Heidelberg.
  • 来源:中山大学;作者:黄冠霖
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