QoS Based Optimal Selection of Web Services Using Fuzzy Logic

With increase in the number of Web services, the complexity involved in finding appropriate services for the given user’s request also increases. So, selection of appropriate services has become an important task while processing the request. Initially, service selection is based on the matchmaking algorithm, but as there are number of identical and overlapping services for a single request, a mechanism needs to be defined to determine which services will participate in selection of the given request. Though ranking methodology considers the need of requestor, it does not consider other constraints like functional and non functional qualities. To meet these kinds of constraints, QoS based web service selection has been chosen. This approach maximizes the user satisfaction by composing the qualities of web service using Fuzzy rule based system. This allows imprecise information and help to model highly complex problems that have multi dimensional data. This method is experimented and the results prove better selection when compared with conventional methods.