Using HMM for predicting response time of web services
Proceedings of the CUBE International Information Technology Conference
ARIMA model-based web services trustworthiness evaluation and prediction
ICSOC'12 Proceedings of the 10th international conference on Service-Oriented Computing
Predicting unknown QoS value with QoS-Prophet
Proceedings Demo & Poster Track of ACM/IFIP/USENIX International Middleware Conference
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In this paper, we propose an enhanced QoS prediction approach to predict the missing QoS values for QoS-based selection. Compared with existing QoS prediction methods, our proposed A Smooth approach has two differences: 1) using A-cosine equation for similarity calculation to remove the impact of different QoS scale, 2) adding a data Smoothing process to improve the prediction accuracy. An extensive performance study based on a real public dataset is reported to verify the prediction accuracy of our proposed approach.