Towards Service Selective Optimizing Based on Key Business Process Performance

Web service composition is a promising solution for building distributed applications on the e-business processes, and with web services providing similar functional characteristics, Quality of Service (QoS) is the main factor to differentiate them. It is imperative to provide service consumers with facilities for selecting the only web services for their requirement according to their non-functional characteristics or QoS. However, the selection process is too greatly complicated to meet the requirement of business process. In this paper, the key business process performance model (KBPP) is proposed, and further, the issue of QoS driven service selection for dynamic web service composition is investigated. From the point of view of requirement of KBPP, an evaluation framework with KBPP is proposed, and a new approach to optimize the service selecting based on KBPP is presented. Experimental results show that the proposed approach greatly improves the service selection process in a dynamic and uncertain environment of web services. Simulative experiments are conducted to show the validity and efficiency of the methods.