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Wireless Communications and Mobile Computing
Volume 2018, Article ID 3105278, 14 pages
Research Article

Context-Aware Cloud Service Selection Model for Mobile Cloud Computing Environments

Xu Wu1,2

1School of Computer, Electronics and Information, Guangxi University, Nanning, China
2Key Laboratory of Multimedia Communication and Network Technology, Guangxi University, Nanning, China

Correspondence should be addressed to Xu Wu; moc.361@6002zdrx

Received 29 August 2017; Revised 3 January 2018; Accepted 21 January 2018; Published 5 March 2018

Academic Editor: B. B. Gupta

Copyright © 2018 Xu Wu. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Mobile cloud computing (MCC) has attracted extensive attention in recent years. With the prevalence of MCC, how to select trustworthy and high quality mobile cloud services becomes one of the most urgent problems. Therefore, this paper focuses on the trustworthy service selection and recommendation in mobile cloud computing environments. We propose a novel service selection and recommendation model (SSRM), where user similarity is calculated based on user context information and interest. In addition, the relational degree among services is calculated based on PropFlow algorithm and we utilize it to improve the accuracy of ranking results. SSRM supports a personalized and trusted selection of cloud services through taking into account mobile user’s trust expectation. Simulation experiments are conducted on ns3 simulator to study the prediction performance of SSRM compared with other two traditional approaches. The experimental results show the effectiveness of SSRM.