Title :
A Short-Term Prediction for QoS of Web Service Based on Wavelet Neural Networks
Author_Institution :
Sch. of Software, Northeastern Univ., Shenyang, China
Abstract :
The prediction will play a positive role when people need choose the best Web Service from numerous services, so a study on predicting QoS of Web Service will be shown in this paper. Concretely, the structure of wavelet neural networks (WNN) and a related algorithm will be introduced in the paper. Based on this, WNN 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 WNN to predict the QoS of Web Service is more effective than common back propagation (BP) neural networks.
Keywords :
Web services; backpropagation; neural nets; quality of service; wavelet transforms; MATLAB toolbox; Web service; backpropagation neural network; network model; short-term QoS prediction; wavelet neural network; QoS Prediction; Wavelet Neural Networks; Web Service;
Conference_Titel :
Computational Intelligence and Communication Networks (CICN), 2010 International Conference on
Conference_Location :
Bhopal
Print_ISBN :
978-1-4244-8653-3
Electronic_ISBN :
978-0-7695-4254-6
DOI :
10.1109/CICN.2010.60
