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随着Web服务的广泛应用,大量功能相似但Qo S(Quality of Service)不同的Web服务部署在Internet上.如何选择满足用户功能和Qo S需求的服务成为了服务计算领域亟待解决的问题.由于受到网络状态、负荷等因素的影响,Web服务的Qo S常常是动态变化的.已有基于Qo S的Web服务选择方法大多假设服务的Qo S是确定的,没有充分考虑到Qo S的动态变化特性,因此在实际中应用可能并不能选择令人满意的服务.提出一种支持不确定Qo S值的Web服务选择方法.该方法采用区间值描述服务的Qo S,先对服务的Qo S区间和用户Qo S需求进行归一化;再通过分析它们之间的关系,建立单个服务Qo S区间效益值的计算模型;最后建立服务的综合效益值计算模型,得到服务的综合Qo S评价.实验表明本文提出的服务选择方法能够很好地适应Qo S值不确定的情况,在选择满足用户Qo S需求的服务方面是可行和有效的.
With the wide application of Web services, a large number of Web services with similar functions but different Qo S (Quality of Service) are deployed on the Internet.How to select the services that meet the needs of user functions and Qo S has become an urgent problem in the field of service computing. Due to the influence of network status, load and other factors, the Qo S of web services often changes dynamically.On the basis of Qo S-based Web service selection methods, most of the Qo S of service is determined without taking full account of the dynamic changes of Qo S So it may not be able to choose a satisfactory service in practice.A Web service selection method is proposed to support the uncertainty Qo S value.The method uses the interval value to describe the service Qo S, And users Qo S demand for normalization; and then through the analysis of the relationship between them, the establishment of a single service Qo S interval benefit value calculation model; Finally, the establishment of services, the comprehensive benefit value calculation model, service comprehensive Qo S evaluation. It shows that the service selection method proposed in this paper can adapt well to the situation of uncertain value of Qo S, and it is feasible and effective to choose the service that meets the demand of users Qo S.