2011 IEEE International Conference on Web Services (2011)
Washington, DC USA
July 4, 2011 to July 9, 2011
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICWS.2011.95
QoS has become an important measure for web service selection. In this paper, we present an approach which can provide the approximate QoS value for users, and support finding the optimal web service. Firstly, it clusters the users based on location and network condition, then according to the QoS historical statistics of users in the same cluster, uses the linear regression algorithm to predict the QoS value based on invocation time and workload.
Web Service, QoS, QoS Prediction
K. Zhang, Y. Shi, B. Liu and L. Cui, "A New QoS Prediction Approach Based on User Clustering and Regression Algorithms," 2011 IEEE International Conference on Web Services(ICWS), Washington, DC USA, 2011, pp. 726-727.