QoS based classification using K-Nearest Neighbor algorithm for effective web service selection

The World Wide Web integrates the emerging technologies, one of them are web service that gives new vision for the next transformation for the technological wave. This technological transformation required to face the so many problems. The design and implementation of interoperable user interface will provide the effective solutions for the current pitfalls. In this paper we have proposed a method for the effective web service selection based on the QOS parameters using the K-Nearest Neighbor algorithm. Implementation of the classification algorithm over the large dataset has some performance limitations. Addition of new parallel classification model will improve the performance. The evaluation reports shows that the effectiveness of the proposed method for service classification and selection.