一种基于多QoS注册中心和模型异构的WEB服务选择算法

张龙昌; 邹华; 杨放春

doi:10.3724/SP.J.1146.2010.00298

一种基于多QoS注册中心和模型异构的WEB服务选择算法

doi: 10.3724/SP.J.1146.2010.00298

张龙昌^{* 邹华杨放春,},
邹华,
杨放春

基金项目:

核高基国家科技重大专项(2009ZX01039-001-002-01)和国家973计划项目(2009CB320406)资助课题

计量
- 文章访问数: 3735
- HTML全文浏览量: 124
- PDF下载量: 968
- 被引次数: 0
出版历程
- 收稿日期: 2010-03-26
- 修回日期: 2010-08-25
- 刊出日期: 2011-01-19

A Web Service Selection Algorithm Based on Multiple QoS Registration Centers and Heterogeneous QoS Model

Zhang Long-Chang^{* 邹华杨放春
,},
Zou Hua,
Yang Fang-Chun

摘要

摘要: 多QoS注册中心并且QoS模型异构给服务选择带来巨大困难。借鉴多属性群决策(MAGDM)理论的基本思想，该文提出一种解决上述难题的多注册中心和模型异构的Web服务选择算法(MRHQ_WSSA)。MRHQ_ WSSA算法能综合评估各QoS注册中心的QoS信息，从而获得QoS综合最优的服务组合计划。MRHQ_WSSA算法包括5个步骤：用户偏好规格化、群偏好确定、加权规格化决策矩阵、确定群理想方案、计算群贴近度。最后通过实验验证算法的优势和有效性。
- Web服务 /
- 服务选择 /
- 多属性群决策(MAGDM)理论 /
- 服务质量 /
- QoS注册中心
Abstract: Web service selection based on QoS is still challenging because the multiple QoS registration centers and heterogeneous QoS models make decision-making hard. Based on Multi-Attribute Group Decision-Making (MAGDM) theory, this paper presents a novel Multiple Registration centers and Heterogeneous QoS models Web Service Selection Algorithm (MRHQ_WSSA) to solve the above difficulties for the first time. Through evaluating the QoS information of all QoS registration centers, MRHQ_WSSA can obtain the synthetically optimal composition plan. It includes five main steps: normalizing the users QoS preference, calculating the group preference, weighting normalized decision-matrix, determining group ideal solution and calculating the relative closeness to the group ideal solution. And a set of experiments demonstrate the benefits and effectiveness of the approach.
- Web service /
- Service selection /
- Multi-Attribute Group Decision Making (MAGDM) theory /
- Quality of Service (QoS) /
- QoS registration centers

HTML全文

参考文献(1)

Yang F C, Su S, and Li Z. Hybrid QoS-aware semantic web service composition strategies[J].Science in China Series F-information Sciences.2008, 51(11):1822-1840[2]Zeng L Z, Benatallah B, and Ngu A H H. QoS-Aware middleware for Web services composition[J].IEEE Transactions on Software Engineering.2004, 30(5):311-327[3]Su S, Li F, and Yang F C. Iterative selection algorithm for service composition in distributed environments[J].Science in China Series F-information Sciences.2008, 51(11):1841-1856[4]Liu Y, Ngu A H H, and Zeng L Z. QoS computation and policing in dynamic Web service selection. Proceedings of the WWW 2004. New York, ACM Press, 2004: 42-53.[5]Wang Ping. QoS-aware web services selection with intuitionistic fuzzy set under consumers vague perception[J].Expert Systems with Applications.2009, 36(3):4460-4466[6]Ma Yue and Zhang Cheng Wen. Quick convergence of genetic algorithm for QoS-driven web service selection[J].Computer Networks.2008, 52(5):1093-1104[7]Tao Fei, Zhao Dong-ming, and Hu Ye-fa, et al.. Correlation-aware resource service composition and optimal-selection in manufacturing grid[J].European Journal of Operational Research.2010, 201(1):129-143[8]Shih Hsu-shih, Shyur Huan-jyh, and Lee E S. An extension of TOPSIS for group decision making[J].Mathematical and Computer Modeling.2007, 45(7-8):801-813[9]Stradi B and Haven E. Optimal investment strategy via interval arithmetic[J].International Journal of Theoretical and Applied Finance.2005, 8(2):185-205[10]Chang W. Ranking of fuzzy utilities with triangular membership functions. Proceedings of International Conference on Policy Analysis and Systems, 1981: 263-272.[11]Atanassov K. Intuitionistic fuzzy sets[J].Fuzzy Sets and Systems.1986, 20(1):87-96[12]Wang Ying-ming and Elhag T M S. On the normalization of interval and fuzzy weights[J].Fuzzy Sets and Systems.2006, 157(18):2456-2471[13]Kulisch U W. Numerical validation in current hardware architectures. International Dagstuhl Seminar, Dagstuhl Castle, Germany, 2009: 9-20.[14]Jahanshahloo G R, Hosseinzadeh Lotfi F, and Davoodi A R. Extension of TOPSIS for decision-making problems with interval data: Interval efficiency[J].Mathematical and Computer Modeling.2009, 49(5-6):1137-1142

施引文献

资源附件(0)

访问统计