Reliability Assessment of Cloud Computing Platform Based on Semiquantitative Information and Evidential Reasoning
Joint Authors
Source
Journal of Control Science and Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-11-06
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Electronic engineering
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Wei, Hang& Qiao, Pei-Li. 2016. Reliability Assessment of Cloud Computing Platform Based on Semiquantitative Information and Evidential Reasoning. Journal of Control Science and Engineering،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1107881
Modern Language Association (MLA)
Wei, Hang& Qiao, Pei-Li. Reliability Assessment of Cloud Computing Platform Based on Semiquantitative Information and Evidential Reasoning. Journal of Control Science and Engineering No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1107881
American Medical Association (AMA)
Wei, Hang& Qiao, Pei-Li. Reliability Assessment of Cloud Computing Platform Based on Semiquantitative Information and Evidential Reasoning. Journal of Control Science and Engineering. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1107881
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1107881