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Computational MADM evaluation and ranking of cloud service providers using distance-based approach

机译:使用基于距离的方法进行云服务提供商的计算MADM评估和排名

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摘要

The advancements in the information technology have emerged a new approach in the field of distributed computing referred as cloud computing that has garnered tremendous popularity in the short time span. Cloud computing is one type of internet-based computing in which the service providers provide the various services and resources in the sharable mode to the cloud customers on demand. As a result of the rapid growth of this approach, most of the IT companies such as IBM, HP, Microsoft, Amazon, Google have started to offer various cloud services to the users. Due to the huge availability of the cloud service providers, it becomes extremely challenging from the customer's point of view to select the most suited cloud service provider (CSP). In this research, the problem of the CSP selection is formulated as multi-attribute decision making problem and distance-based approximation (DBA) method is anticipated to solve the problem. In order to validate the applicability of the proposed method, the results are compared with the well known methodology, namely analytical hierarchy process (AHP) and fuzzy-AHP.
机译:信息技术的进步已经成为分布式计算领域中一种被称为云计算的新方法,该方法在短时间内获得了极大的普及。云计算是一种基于Internet的计算,其中服务提供商以可共享的模式向云客户按需提供各种服务和资源。由于这种方法的迅速发展,大多数IT公司(例如IBM,HP,Microsoft,Amazon,Google)已开始为用户提供各种云服务。由于云服务提供商的巨大可用性,从客户的角度来看,选择最适合的云服务提供商(CSP)变得极具挑战性。在这项研究中,将CSP选择问题表述为多属性决策问题,并期望基于距离的近似(DBA)方法来解决该问题。为了验证所提方法的适用性,将结果与众所周知的方法进行了比较,即层次分析法和模糊层次分析法。

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