| 基于SMDP模型的Web服务组合优化方法 |
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| 引用本文： | 柴雪霞,马学森,周雷,唐昊.基于SMDP模型的Web服务组合优化方法[J].合肥工业大学学报(自然科学版),2011(10):1496-1500. |
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| 作者姓名： | 柴雪霞 马学森 周雷 唐昊 |
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| 作者单位： | 合肥工业大学计算机与信息学院;合肥工业大学安全关键工业测控技术教育部工程研究中心; |
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| 基金项目： | 安徽省自然科学基金资助项目(090412046); 安徽省高校省级自然科学研究重点资助项目(KJ2008A058) |
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| 摘 要： | 针对Internet环境的动态性和Web服务的不确定性,文章使用有限状态连续时间半马尔可夫决策过程(Semi-Markov Decision Process,简称SMDP)对服务组合进行建模,并给出了服务组合的Q学习优化算法,以获得最优的服务组合策略.通过仿真实验验证了该算法的有效性,仿真结果表明,使用动态的控制方法具...
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| 关 键 词： | Web服务组合 半马尔可夫决策过程 服务质量(QoS) Q学习 |
Approach to Web service composition optimization based on SMDP model |
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| CHAI Xue-xia,MA Xue-sen,ZHOU Lei,TANG Hao.Approach to Web service composition optimization based on SMDP model[J].Journal of Hefei University of Technology(Natural Science),2011(10):1496-1500. |
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| Authors: | CHAI Xue-xia MA Xue-sen ZHOU Lei TANG Hao |
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| Institution: | CHAI Xue-xia1,MA Xue-sen1,2,ZHOU Lei1,TANG Hao1,2(1.School of Computer and Information,Hefei University of Technology,Hefei 230009,China,2.Engineering Research Center of Safety Critical Industrial Measurement and Control Technology of Ministry of Education,China) |
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| Abstract: | In view of the dynamic nature of Internet and the uncertainty of Web services,a finite state continuous time semi-Markov decision process(SMDP) is used to model the process of service composition.Then a Q learning algorithm for the service composition is proposed to obtain the optimal service composition policy.Finally the simulation experiment is used to illustrate the effectiveness of the algorithm,and the results show the high success rate of service composition by using dynamic controlling method. |
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| Keywords: | Web service composition semi-Markov decision process(SMDP) quality of service(QoS) Q learning |
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