A QoS-Aware Web Service Selection Based on Clustering

Abstract- Web service plays an important role in e-business and e-commerce applications. A web service applications are interoperable and can work on any platform, large scale distributed systems can be established easily. The selection of most suitable web service is very crucial for successful execution of applications due to the rapid growth of web service providers in the Internet. Researchers have proposed various techniques for service discovery like ranking and clustering the web services. These models lead to the selection and re-selection of improper web services due to the analysis of non-functional characteristics of web services. A novel technique to mine Web Service Description Language (WSDL) documents and cluster them into QoS similar Web service groups is proposed. The application of this approach to real Web service description files has shown good performance for clustering Web services based on QoS similarity, as a predecessor step to retrieving the relevant Web services for a user request by search engines. The various parameters of quality are trustworthiness, security, performance, availability, response time, scalability etc