Fuzzy-Based Architecture to Implement Service Selection Adaptation Strategy

Abstract

One of the main requirements in service based applications is runtime adaptation to changes that occur in business, user, environment, and computational contexts. Changes in contexts lead to QOS degrade. Continues adaptation mechanism and strategies are required to stay service based applications(SBA) in safe state. In this paper a framework for runtime adaptation in service based application isintroduced. It checks user requirements change continuously and dynamically adopts architecture model. Also it checks providers QOS attributes continuously and if adaptation requirement is triggered, runs service selection adaptation strategy to satisfy user preferences. Thusit is a context aware and automatically adaptable framework for SBA applications. Wehave implemented a fuzzy based system for web service selection unit. Due to ambiguity of context's data and cross-cutting effects of quality of services, using fuzzy would result an optimised decision. Finally we illustrated that using of it has a good performance for web service based applications.