DocumentCode
2347479
Title
A Short-Term Prediction for QoS of Web Service Based on Wavelet Neural Networks
Author
Zhang Jin-hong
Author_Institution
Sch. of Software, Northeastern Univ., Shenyang, China
fYear
2010
fDate
26-28 Nov. 2010
Firstpage
254
Lastpage
258
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/CICN.2010.60
Filename
5701974
Link To Document