期刊文献+

Web services composition based on global semantics and QoS-aware aspect 被引量:1

基于语义与QoS全局感知的web服务组合(英文)
下载PDF
导出
摘要 A global semantics matching and QoS-awareness service selection are proposed when aimed at a web services composition process.Both QoS-aware matching and global semantic matching are considered during the global matching.When there are demands for global semantic matching and QoS of service composition,a concrete service set which meets the demands is selected for the whole service composition process and an optimal solution is also achieved.A QoS model is built and the corresponding evaluation method is given for the matching of the service composition process.Based on them,a genetic algorithm is proposed to achieve the maximal global semantic matching degree and fulfill the QoS requirements for the whole service composition process.Experimental results and analysis show that the algorithm is feasible and effective for semantics and QoS-aware service matching. 针对服务组合流程,提出了语义与QoS全局感知的服务组合.在全局语义匹配过程中,既考虑了全局匹配,又考虑了从QoS角度进行匹配.当对服务组合有全局语义满足及QoS约束要求时,在全局范围里选择满足整个服务组合流程的QoS约束和语义匹配度要求的具体服务集,并实现服务组合的优化解.建立了全局匹配的QoS模型及其评价方法,基于该模型及评价方法,采用遗传算法实现全局语义匹配度最大化及满足用户的QoS指标需求.实验结果和分析表明,基于语义与QoS感知的服务匹配算法是可行和有效的.
出处 《Journal of Southeast University(English Edition)》 EI CAS 2008年第3期296-299,共4页 东南大学学报(英文版)
基金 Specialized Research Fund for the Doctoral Program of Higher Education(No.20050288015) Innovation Funds of Nanjing University of Science and Technology
关键词 semantic matching global matching QoS model genetic algorithm 语义匹配 全局匹配 QoS模型 遗传算法
  • 相关文献

参考文献2

二级参考文献29

  • 1赵曙光,焦李成,王宇平,杨万海.基于均匀设计的多目标自适应遗传算法及应用[J].电子学报,2004,32(10):1723-1725. 被引量:10
  • 2杨文军,李涓子,王克宏.领域自适应的Web服务评价模型[J].计算机学报,2005,28(4):514-523. 被引量:45
  • 3赵俊峰,谢冰,张路,杨芙清.一种支持领域特性的Web服务组装方法[J].计算机学报,2005,28(4):731-738. 被引量:52
  • 4陈贤富,庄镇泉,王煦法.遗传算法的自适应进化策略及TSP问题的遗传优化[J].电子学报,1997,25(7):111-114. 被引量:21
  • 5李克勤.面向对象的领域工程方法研究[M].北京:北京大学出版社,2000..
  • 6Arango G., Prieto-Diaz R. Domain analysis concepts and research directions. In: Domain Analysis and Software System Modeling. Los Alamitos, California: IEEE Computer Society Press, 1991
  • 7Prieto-Diaz R. Domain analysis for reusability. In: Proceedings of COMPSAC'87, Tokyo, Japan, 1987, 23~29
  • 8Casati F., Ilnicki S., Jin L.-J., Krishnamoorthy V., Shan M.C. eFlow: A platform for developing and managing composite e-services. HP Laboratories: Technical Report HPL-2000-36, 2000
  • 9Cardoso J. Quality of service and semantic composition of workflows[Ph.D. dissertation]. University of Georgia, Athens, 2002
  • 10Zeng L.Z., Benatallah B., Dumas M. QoS-Aware middleware for Web services composition. IEEE Transactions on Software Engineering, 2004, 30(5): 311~327

共引文献151

同被引文献25

  • 1石静,丁长明,赵泽宇,薛向阳.Web服务合成研究综述[J].计算机科学,2004,31(6):54-58. 被引量:15
  • 2饶元,冯博琴,李尊朝.基于Web Services的服务合成技术研究综述[J].系统工程与电子技术,2005,27(8):1481-1489. 被引量:37
  • 3张成文,苏森,陈俊亮.基于遗传算法的QoS感知的Web服务选择[J].计算机学报,2006,29(7):1029-1037. 被引量:103
  • 4刘书雷,刘云翔,张帆,唐桂芬,景宁.一种服务聚合中QoS全局最优服务动态选择算法[J].软件学报,2007,18(3):646-656. 被引量:146
  • 5Zhang C, Su S, Chen J. DiGA.. Population diversity handling genetic algorithm for QoS-aware web services selection[J]. Computer Communications, 2007,30(5) : 1082-1090.
  • 6GAO Z,CHEN J,QIU X,et al. QoE/QoS driven simulated an nealing-based genetic algorithm for Web services selection[J]. Journal of China Universities of Posts and Telecommunica tions, 2009,16 (SUPPL. 1) : 102-107.
  • 7Ma Y, Zhang C. Quick convergence of genetic algorithm for QoS-driven web service selection[J]. Computer Networks, 2008,52(5) : 1093-1104.
  • 8Kai S, Shun Y, Sen S. TTS-coded genetic algorithm for QoSdriven web service selection[-ATIn= Proceedings of 2009 IEEE International Conference on Communications Technology and Applications, IEEE ICCTA2009 [C]//Beijing, China: Institute of Electrical and Electronics Engineers Computer Society, 2009,885-890.
  • 9Liang W, Huang C. The generic genetic algorithm incorporates with rough set theory-An application of the web services composition[J]. Expert Systems with Applications, 2009, 36 (3 PART 1) :5549-5556.
  • 10Wang J, Hou Y. Optimal web service selection based on multiobjective genetic algorithm[A]. In: Proceedings of the 2008 International Symposium on Computational Intelligence and Design, ISCID 2008[C]//Wuhan, China: Institute of Electrical and Electronics Engineers Computer Society, 2008 ~ 553-556.

引证文献1

二级引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部