Service research challenges and solutions for the future internet
Conceptual modeling approaches for dynamic web service composition
The evolution of conceptual modeling
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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.