QoS-Aware Web Service Composition

With the increase of Web services popularity, due to its well established secure protocols, service providers are competing in the market with services that provide overlapping, if not similar, functionalities. To be attractive to consumers Web service providers must improve the quality of their services. When considering complex composite Web services, the selection of the most appropriate candidate for each service becomes a difficult task. Previous research suggests the use of integer programming to solve the selection problem. In this paper a hybrid approach using integer programming and case-based reasoning will be presented. The compositions will be globally optimized using integer programming and stored in a case-based reasoning repository for future use. A set of experiments will show that not only does the system perform better than traditional approaches, but it also has the ability to “learn” quality patterns and solve the composition problem based on those patterns.