A Short-Term Prediction for QoS of Web Service Based on RBF Neural Network Including An Improved K-Means Algorithm

摘要：

The structure of RBF neural networks and an improved K-means algorithm will be introduced in the paper. Based on this, RBF neural networks is applied to predict the QoS of Web Service and the functions of the MATLAB toolbox are adopted to create a network model for QoS prediction. Finally the simulation experiments will prove that using RBF neural networks based on the improved K-means algorithm to predict the QoS of Web Service is effective and efficient.

关键词： web service QoS prediction RBF neural networks QoS weight improved K-Means algorithm

作者: ZHANG Jin-hong

作者单位: School of Software, Northeastern University Shenyang 110004, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 633-637

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）