Context-Aware Cloud Service Selection Model for Mobile Cloud Computing Environments
Author
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-03-05
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Wu, Xu. 2018. Context-Aware Cloud Service Selection Model for Mobile Cloud Computing Environments. Wireless Communications and Mobile Computing،Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1215952
Modern Language Association (MLA)
Wu, Xu. Context-Aware Cloud Service Selection Model for Mobile Cloud Computing Environments. Wireless Communications and Mobile Computing No. 2018 (2018), pp.1-14.
https://search.emarefa.net/detail/BIM-1215952
American Medical Association (AMA)
Wu, Xu. Context-Aware Cloud Service Selection Model for Mobile Cloud Computing Environments. Wireless Communications and Mobile Computing. 2018. Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1215952
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1215952