An evaluation system for cloud service selection using fuzzy AHP

R. Kumar, C. Kumar
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引用次数: 16

Abstract

Cloud computing is a large scale internet based computing paradigm that deliver of computing services over the Internet. With the recent advancement in the field of Cloud computing, it has become a new way of doing business. Cloud services play a crucial role in terms of on-demand services on a subscription basis. A number of available enterprises offer a large number of Cloud services to their customers with the equivalent functionality. Due to accelerated adaptation and vast availability of Cloud services, it is very difficult for the users to decide about the best service providers and the reason for its selection. Quality of Service (QoS) is the essential factor that has taken into account when selecting a cloud service with respect to users requirement. This paper discusses the fuzzy based Analytic Hierarchy Process (fuzzy-AHP) to efficiently tackle both quantitative and qualitative decision factors involved in selection of cloud service provider in current business scenario. Both the theoretical and practical background of this paper have shown that fuzzy AHP is capable to efficiency handle the fuzziness of the data involved in the multi-criteria decision making problem of this study.
基于模糊层次分析法的云服务选择评价体系
云计算是一种大规模的基于互联网的计算范式,它通过互联网提供计算服务。随着最近云计算领域的发展,它已经成为一种新的商业方式。云服务在基于订阅的按需服务方面发挥着至关重要的作用。许多可用的企业为其客户提供大量具有相同功能的云服务。由于云服务的快速适应和广泛可用性,用户很难决定最好的服务提供商和选择它的原因。服务质量(QoS)是根据用户需求选择云服务时要考虑的基本因素。本文讨论了基于模糊的层次分析法(fuzzy- ahp),以有效地解决当前业务场景中云服务提供商选择所涉及的定量和定性决策因素。本文的理论和实践背景都表明,模糊层次分析法能够有效地处理本研究中多准则决策问题中数据的模糊性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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