Personalized Cloud-media Services Selection by QoS Prediction

doi:10.13190/j.jbupt.2016.06.008

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2016, Vol. 39 ›› Issue (6): 42-46.doi: 10.13190/j.jbupt.2016.06.008

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Personalized Cloud-media Services Selection by QoS Prediction

TANG Rui-chun, FANG Li-hua, PANG Min, XU Xiao-wei, DING Xiang-qian

Department of Computer Science and Technology, Ocean University of China, Qingdao 266100, China

Received:2016-06-01 Online:2016-12-28 Published:2016-11-29

Abstract

Abstract: In order to improve the quality of service (QoS) and the user satisfaction of cloud-media services selection, a personalized cloud-media services selection based on QoS prediction was proposed. Firstly, a credibility model is established and introduced to the calculation of user similarity to optimize the neighbor users, then the QoS value of unused services can be predicted by and the collaborative filtering, services having higher services quality are selected as candidates. Secondly, the user preferred cloud-media services is provided on the basis of technique for order preference by similarity to an ideal solution to improve the user satisfaction. Simulation results show its efficiency.

Key words: services selection, quality of service prediction, collaborative filtering, user preference, user satisfaction

CLC Number:

TP393

TANG Rui-chun, FANG Li-hua, PANG Min, XU Xiao-wei, DING Xiang-qian. Personalized Cloud-media Services Selection by QoS Prediction[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2016, 39(6): 42-46.

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Personalized Cloud-media Services Selection by QoS Prediction

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