DocumentCode
551666
Title
A New QoS Prediction Approach Based on User Clustering and Regression Algorithms
Author
Shi, Yuliang ; Zhang, Kun ; Liu, Bing ; Cui, Lizhen
Author_Institution
Sch. of Comput. Sci. & Technol., Shandong Univ., Jinan, China
fYear
2011
fDate
4-9 July 2011
Firstpage
726
Lastpage
727
Abstract
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.
Keywords
Web services; pattern clustering; quality of service; regression analysis; user interfaces; QoS historical statistics; QoS prediction approach; Web service selection; linear regression algorithm; quality of service; user clustering; user location; user network condition; Algorithm design and analysis; Clustering algorithms; Linear regression; Optics; Prediction algorithms; Quality of service; Web services; QoS; QoS Prediction; Web Service;
fLanguage
English
Publisher
ieee
Conference_Titel
Web Services (ICWS), 2011 IEEE International Conference on
Conference_Location
Washington, DC
Print_ISBN
978-1-4577-0842-8
Electronic_ISBN
978-0-7695-4463-2
Type
conf
DOI
10.1109/ICWS.2011.95
Filename
6009413
Link To Document