Web Service Clustering on the Basis of QoS Parameters

Abstract

Due to ease of development, service oriented applications have replaced traditional web based applications. Web Services have made development easier and secure. But it is always a tough task to select the best service. Thus, web services clustering prior to selection can be useful. Before performing clustering on web services, it is desired to first determine appropriate clustering technique. In this paper, an in-depth analysis of various clustering techniques is performed. Two quality evaluation parameters, internal and stability are used. To conduct various experiments, dataset based on real world web services and dataset generated using standard available dataset generators are used.