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

IF 1 Q4 AUTOMATION & CONTROL SYSTEMS Journal of Control Science and Engineering Pub Date : 2016-11-01 DOI:10.1155/2016/2670210
Hang Wei, Pei-Li Qiao
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引用次数: 5

Abstract

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.
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基于半定量信息和证据推理的云计算平台可靠性评估
提出了一种基于证据推理ER规则和半定量信息的可靠性评估方法,建立了一种包含定量数据和定性知识四个方面的可靠性评估新体系。该评估体系结构在描述复杂的动态云计算环境方面比传统方法更加客观。此外,利用对多属性决策问题具有较好性能的ER规则,对评估体系结构中不同类型的属性进行整合,可以获得更准确的评估结果。在实际云计算平台上的案例研究评估结果验证了所提方法的有效性和优越性。
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来源期刊
Journal of Control Science and Engineering
Journal of Control Science and Engineering AUTOMATION & CONTROL SYSTEMS-
CiteScore
4.70
自引率
0.00%
发文量
54
审稿时长
19 weeks
期刊介绍: Journal of Control Science and Engineering is a peer-reviewed, open access journal that publishes original research articles as well as review articles in all areas of control science and engineering.
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