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

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...

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Main Authors: Hang Wei, Pei-Li Qiao
Format: Article
Language:English
Published: Wiley 2016-01-01
Series:Journal of Control Science and Engineering
Online Access:http://dx.doi.org/10.1155/2016/2670210
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author Hang Wei
Pei-Li Qiao
author_facet Hang Wei
Pei-Li Qiao
author_sort Hang Wei
collection DOAJ
description 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.
format Article
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institution Kabale University
issn 1687-5249
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language English
publishDate 2016-01-01
publisher Wiley
record_format Article
series Journal of Control Science and Engineering
spelling doaj-art-881bf66a8cf24ad3b1818b2c8b1fcfab2025-08-20T03:37:33ZengWileyJournal of Control Science and Engineering1687-52491687-52572016-01-01201610.1155/2016/26702102670210Reliability Assessment of Cloud Computing Platform Based on Semiquantitative Information and Evidential ReasoningHang Wei0Pei-Li Qiao1School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, Heilongjiang, ChinaSchool of Computer Science and Technology, Harbin University of Science and Technology, Harbin, Heilongjiang, ChinaA 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.http://dx.doi.org/10.1155/2016/2670210
spellingShingle Hang Wei
Pei-Li Qiao
Reliability Assessment of Cloud Computing Platform Based on Semiquantitative Information and Evidential Reasoning
Journal of Control Science and Engineering
title Reliability Assessment of Cloud Computing Platform Based on Semiquantitative Information and Evidential Reasoning
title_full Reliability Assessment of Cloud Computing Platform Based on Semiquantitative Information and Evidential Reasoning
title_fullStr Reliability Assessment of Cloud Computing Platform Based on Semiquantitative Information and Evidential Reasoning
title_full_unstemmed Reliability Assessment of Cloud Computing Platform Based on Semiquantitative Information and Evidential Reasoning
title_short Reliability Assessment of Cloud Computing Platform Based on Semiquantitative Information and Evidential Reasoning
title_sort reliability assessment of cloud computing platform based on semiquantitative information and evidential reasoning
url http://dx.doi.org/10.1155/2016/2670210
work_keys_str_mv AT hangwei reliabilityassessmentofcloudcomputingplatformbasedonsemiquantitativeinformationandevidentialreasoning
AT peiliqiao reliabilityassessmentofcloudcomputingplatformbasedonsemiquantitativeinformationandevidentialreasoning