NDLI: A multi-dimensional trust-aware cloud service selection mechanism based on evidential reasoning approach

Content Provider	Springer Nature Link
Author	Fan, Wen Juan Yang, Shan Lin Perros, Harry Pei, Jun
Copyright Year	2015
Abstract	In the last few years, cloud computing as a new computing paradigm has gone through significant development, but it is also facing many problems. One of them is the cloud service selection problem. As increasingly boosting cloud services are offered through the internet and some of them may be not reliable or even malicious, how to select trustworthy cloud services for cloud users is a big challenge. In this paper, we propose a multi-dimensional trust-aware cloud service selection mechanism based on evidential reasoning (ER) approach that integrates both perception-based trust value and reputation based trust value, which are derived from direct and indirect trust evidence respectively, to identify trustworthy services. Here, multi-dimensional trust evidence, which reflects the trustworthiness of cloud services from different aspects, is elicited in the form of historical users’ feedback ratings. Then, the ER approach is applied to aggregate the multi-dimensional trust ratings to obtain the real-time trust value and select the most trustworthy cloud service of certain type for the active users. Finally, the fresh feedback from the active users will update the trust evidence for other service users in the future.
Starting Page	208
Ending Page	219
Page Count	12
File Format	PDF
ISSN	14768186
Journal	International Journal of Automation and Computing
Volume Number	12
Issue Number	2
e-ISSN	17518520
Language	English
Publisher	Institute of Automation, Chinese Academy of Sciences
Publisher Date	2014-12-29
Publisher Place	Beijing
Access Restriction	Subscribed
Subject Keyword	Cloud service selection multi-dimensional trust evidence trust and reputation evaluation evidential reasoning (ER) clond service trustworthiness Control, Robotics, Mechatronics Computer Applications Computer-Aided Engineering (CAD, CAE) and Design
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Control and Systems Engineering Modeling and Simulation Computer Science Applications

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