QoS感知的Web服务推荐模型  

Novel QoS-aware Web service recommendation model

作　　者：陶春华[1] 冯志勇[1] 

机构地区：[1]天津大学计算机科学与技术学院,天津300072

出　　处：《计算机应用研究》2010年第10期3902-3905,3914,共5页Application Research of Computers

基　　金：国家"863"计划资助项目(2007AA01Z130);天津市应用基础及前沿技术研究计划资助项目(08JCZDJC19800);天津市科技支撑计划重点资助项目(08ZCKFGX00700)

摘　　要：服务注册中心往往推荐给用户一组等价服务,且服务的QoS来自于不同用户的反馈,如何根据用户的偏好和上下文环境推荐最合适的服务在SOA中非常重要。提出了一个QoS感知的Web服务推荐模型,该模型通过感知用户上下文克服了传统方法带来的用户QoS体验与服务注册中心QoS信息不一致的问题,使用层次分析法获得用户QoS偏好,综合评估备选服务的QoS性能,给出最适合当前用户的服务。通过实验说明了用户上下文感知的合理性,并给出了一个服务推荐的例子。A service register center provides a set of services with equivalent functionality,and further the QoS of these services usually collected from different users. The ability of providing best service for a specific user is critical in SOA. This paper proposed a QoS-aware Web service recommendation model. It employed a user’s context-aware component,so that the problem of the inconsistent between user’s experience of service QoS and the QoS information provided by service register center was smoothed. It also employed analytical hierarchy process to model user’s QoS preferences and evaluate the candidates of service. The soundness of context-aware component was tested in the experiment,and gave an example of service recommendation for illumination.

关 键 词：服务质量感知 用户上下文感知 服务推荐 层次分析法 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]