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A Meta-Synthesis Approach for Cloud Service Provider Selection Based on SecSLA

机译:基于SecSLA的云服务提供商选择元综合方法

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The Service Level Agreement(SLA) of current cloud computing often focuses on performance while seldom emphasizes security; additionally, customers have to select the most suitable one among several Cloud Service Providers (CSPs). Therefore, a cloud-oriented meta-synthesis selection method is proposed as well as a cloud computing security SLA indicators system by using Delphi and Goal-Question-Metric approaches; synthetic weight for each indicator is granted through G1 and coefficient of variation methods; optimum nearness is defined to provide quantitative basis in the CSP selection. Calculation and analysis against the normalized reports from Cloud Security Alliance's Security, Trust & Assurance Registry (CSA STAR) show that the proposed approach has the features of clear process and relatively high distinguishability.
机译:当前的云计算的服务水平协议(SLA)通常侧重于性能,而很少强调安全性。此外,客户还必须在几个云服务提供商(CSP)中选择最合适的一个。因此,提出了一种基于云的元综合选择方法以及基于Delphi和Goal-Question-Metric方法的云计算安全SLA指标体系。每个指标的综合权重通过G1和变异系数方法确定;定义最佳贴近度以为CSP选择提供定量依据。根据云安全联盟的安全,信任和保证注册表(CSA STAR)的规范化报告进行的计算和分析表明,该方法具有流程清晰,可区分性较高的特点。

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