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Journal of Control Science and Engineering
Volume 2016, Article ID 2670210, 10 pages
Research Article

Reliability Assessment of Cloud Computing Platform Based on Semiquantitative Information and Evidential Reasoning

School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, Heilongjiang, China

Received 31 July 2016; Accepted 14 September 2016

Academic Editor: Zhijie Zhou

Copyright © 2016 Hang Wei and Pei-Li Qiao. 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.


A reliability assessment method based on evidential reasoning (ER) rule and semiquantitative information is proposed in this paper, where a new reliability assessment architecture including four aspects with both quantitative data and qualitative knowledge is established. The assessment architecture is more objective in describing complex dynamic cloud computing environment than that in traditional method. In addition, the ER rule which has good performance for multiple attribute decision making problem is employed to integrate different types of the attributes in assessment architecture, which can obtain more accurate assessment results. The assessment results of the case study in an actual cloud computing platform verify the effectiveness and the advantage of the proposed method.