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

Joint Authors

Wei, Hang
Qiao, Pei-Li

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