通信学报 ›› 2012, Vol. 33 ›› Issue (Z1): 141-147.doi: 10.3969/j.issn.1000-436x.2012.z1.018

• 学术论文 • 上一篇    下一篇

多策略QoS感知的服务选择与排序模型

武蕾,刘玉龙,刘士军   

  1. 山东大学 计算机科学与技术学院,山东 济南 250101
  • 出版日期:2012-09-25 发布日期:2017-08-03
  • 基金资助:
    国家高技术研究发展计划(“863”计划)基金资助项目;国家高技术研究发展计划(“863”计划)基金资助项目;国家科技支撑计划基金资助项目;山东省自然科学基金资助项目;山东省自然科学基金资助项目

Multi-strategy QoS-aware service selection and ranking model

Lei WU,Yu-long LIU,Shi-jun LIU   

  1. School of Computer Science&Technology,Shandong University,Jinan 250101,China
  • Online:2012-09-25 Published:2017-08-03
  • Supported by:
    The National High Technology Research and Development Program of China(863 Program);The National High Technology Research and Development Program of China(863 Program);The National Key Technologies R&D Program of China;The Natural Science Foundation of Shandong Province;The Natural Science Foundation of Shandong Province

摘要:

随着网络中具有相同功能、不同QoS服务的增多,在用户请求服务时,为了确保能找到满足用户功能与质量要求的服务,并对找到的可用候选服务集按一定的策略进行选优,提出了一种多策略QoS感知的服务选择与排序模型。在该模型中,综合考虑服务的性能与运营维护成本等属性,提出了一个扩展的服务QoS模型,在此基础上引入用户、运营商对服务满意度的计算方法,通过改变用户满意度与运营商满意度在排序选优过程中所占的不同比重,灵活设置服务选优策略,有效的解决了服务排序选优问题。搭建了服务选择与排序原型系统,并通过应用实例对上述模型进行了验证。

关键词: 服务质量, 多策略, 服务排序

Abstract:

As the increment of services with same function and different QoS in the internet,in order to select and rank the services that fulfill users’ functionality requirements and QoS requirements,a multi-strategy QoS-aware service ranking and selection approach is presented.Considering service performance,and service operation,maintenance costs,an extended Web service QoS model was developed.To determine how well a service satisfies users’and operators’ concerned QoS requirements,a set of functions is presented to normalize services’QoS on various QoS aspects with different metrics and scales,also to compute services satisfaction scores ,and to combine the users’satisfaction scores and the operators’scores together as an overall satisfaction scores based on certain strategy.A prototype system was built for service selection and ranking,and the model above was verified through an application case.

Key words: quality of service, multi-strategy, service ranking

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