A Workflow Framework for Intelligent Service Composition

Generally, service composition and its evaluation are initiated by web services´ functional and non-functional attributes. To select qualified services and compose them into a service composition framework manually is time-consuming and error-prone. In practice, it is a challenging endeavor to timely discover qualified services and develop a service composition schema. In view of this challenge, a workflow framework is presented in this paper for intelligently navigating service composition. The workflow framework consists of two primary processing modules: planning module and CSP (constraint satisfaction problems) solving module. Planning module aims at producing composite plans taking advantage of services´ functional attributes. Moreover, CSP solving module aims at selecting an appropriate service, taking advantaging of services´ non-functional attributes, from a group of qualified services that own the same functionality. This group of qualified services is instantiated from a service class predefined. Finally, a case study is presented to demonstrate the framework.