DocumentCode :
2424275
Title :
Towards adaptive web services QoS prediction
Author :
Li, Jing ; Zhao, Yongwang ; Ren, Jiawen ; Ma, Dianfu
Author_Institution :
State Key Lab. of Software Dev. Environ., Beihang Univ., Beijing, China
fYear :
2010
fDate :
13-15 Dec. 2010
Firstpage :
1
Lastpage :
8
Abstract :
Quality of Service (QoS) has been widely used to support dynamic Web Service (WS) selection and composition. Due to the volatile nature of QoS parameters, QoS prediction has been put forward to understand the trend of QoS data volatility and estimate QoS values in dynamic environments. In order to provide adaptive and effective QoS prediction, we propose a WS QoS prediction approach, named WS-QoSP, based on the technique of forecast combination. Different from the existing QoS prediction approaches that choose a most feasible forecasting model and predict relying on this “best” model, WS-QoSP selects multiple potential forecasting models, combines the results of the selected models to optimize the overall forecast accuracy. Results of real data experiments demonstrate the diversified forecast accuracy gains by using WS-QoSP.
Keywords :
Web services; quality of service; QoS prediction; adaptive Web services; forecasting models; Accuracy; Computational modeling; Data models; Forecasting; Mathematical model; Predictive models; Quality of service; QoS prediction; Quality of Service; Web Services;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Service-Oriented Computing and Applications (SOCA), 2010 IEEE International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
978-1-4244-9802-4
Type :
conf
DOI :
10.1109/SOCA.2010.5707146
Filename :
5707146
Link To Document :
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