Efficient Web Services Composition with Fuzzy–Genetic Approach

Nowadays, Service-oriented architecture is known as a hopeful and effective solution for making the applications organizations which of business operations support as a set of well-defined service. Web services selection and composition are key activities which are done in of the various phases in the life cycle of service-oriented architecture. Selection a valuable web services due to existing many services and also having variety of criteria in the production process automatically and is difficult the selection work. Automatically production and selection web service is one of the important key activities in the implementation a successful service-oriented projects. Identify existing approaches are frequently prescriptive and experience-based architect. Thus it is possible lead to be non-suitable designs, reduce resulting performance, reducing of scalability and complex dependence between services. In this paper, we present an automatically method for identify business services. Using genetic algorithm and fuzzy logic can be production automated web service based on qualitative and quantitative characteristics. In this paper, architect can use metrics to measure characteristics of web services then is assured the abstraction level of web services. Genetic algorithm is for the automatic identification of web services and improved role of architect. Fuzzy logic selects web services based on user preferences. The user view has direct effect in rank for composition of service. Therefore user selected good composition of web service with our ideas. This approach in web services selection and composition compare to previous approaches have upper efficiency and improvement.

Keywords:

Service-oriented architecture , Identification of service , Selection of service , Composition of service , Genetic algorithm , Fuzzy logic