Web Service QoS Prediction Approach in Mobile Internet Environments

Existing many Web service QoS prediction approaches are very accurate in Internet environments, however they cannot provide accurate prediction values in Mobile Internet environments since QoS values of Web services have great volatility. In this paper, we propose an accurate Web service QoS prediction approach by weakening the volatility of QoS data from Web services in Mobile Internet environments. This approach contains three process, i.e., QoS preprocessing, user similarity computing, and QoS predicting. We have implemented our proposed approach with experiment based on real world and synthetic datasets. The results show that our approach outperforms other approaches in Mobile Internet environments.