Client Context-Aware Prediction of QoS for Web Services

doi:10.13190/j.jbupt.2015.04.019

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2015, Vol. 38 ›› Issue (4): 91-98.doi: 10.13190/j.jbupt.2015.04.019

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Client Context-Aware Prediction of QoS for Web Services

MA Hua^1,2, HU Zhi-gang¹

1. School of Software, Central South University, Changsha 410075, China;
2. School of Information Science and Engineering, Hunan International Economics University, Changsha, 410205, China

Received:2014-08-07 Online:2015-08-28 Published:2015-08-28

Abstract

Abstract:

Since the Web services with similar functions are published into Internet, quality of service (QoS) has played an important role in services selection. The identifying client context features between different users is helpful to predict QoS accurately. However, these context features affecting the experience quality of user have not been analyzed systematically in current studies. A client context-aware prediction approach of QoS for Web services was proposed, in which the client context features, including geographical location, network location, and device were analyzed quantitatively. The fuzzy analytic hierarchy process method was applied to calculate context similarity between current user and history users. From that, the similarity weights fusion method was employed to predict the QoS, integrating the collaborative filtering technology. Experiment analysis indicates that this approach can solve the new user problem and improve the accuracy of QoS prediction of Web services effectively.

Key words: Web services, quality of service prediction, collaborative filtering, client context

CLC Number:

TP311

MA Hua, HU Zhi-gang. Client Context-Aware Prediction of QoS for Web Services[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2015, 38(4): 91-98.

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Client Context-Aware Prediction of QoS for Web Services

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