A Multi-dimension Qos based Local Service Selection Model for Service Composition
There are two service selection strategies in dynamic service composition, i.e., global strategy and local strategy. The existed global service selection algorithms, due to insufficiently show users’ partiality and feature of the service, is unfavorable to encourage the service provider to optimize the service quality to some extent. In this paper, an ordinary utility function is used as a numerical scale of ordering local services, and then a multi-dimension Qos based local service selection model is proposed to provide important grounds to choose superior service and sift inferior service. Secondly, subjective weight mode, objective weight mode, and subject-objective weight mode are constructed to not only determine the weight coefficient of each Qos criterion, but also show users’ partiality and the objectivity of service quality. At last, this model is proved to be flexibility and effective based on our SEWSCP (Semantic Enable Web Service Composition Platform).