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A cognitive approach for evaluating the usability of Storage as a Service in Cloud Computing Environment

机译:一种用于评估云计算环境中存储即服务可用性的认知方法

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Cloud computing is a style of computing which thrives users requirements by delivering scalable, on-demand and pay-per-use IT services. It offers different service models, out of which Storage as a Service (StaaS) is the fundamental block of Infrastructure cloud that fulfills user’s excess demand of elastic computing resources. But considering the competitive business scenario choosing the best cloud storage provider is a difficult task. Thus, usability is considered to be the key performance indicator which evaluates the better cloud storage based on user’s satisfaction. This paper aims to focus on the usability evaluation of StaaS providers namely Google drive, Drop box and One drive. This paper proposed a fuzzy based AHP model for measuring user satisfaction. Usability evaluation is carried out based on user feedback through Interview and Questionnaire method. Analysis of user feedback is done based on the fuzzy approach in order to remove vaguness. Whereas, AHP model is used for measuring satisfaction degree of the different cloud storage services and it solves the problem of selecting best cloud storage.
机译:云计算是一种计算风格,通过提供可扩展的,按需的和按使用量付费的IT服务来满足用户的需求。它提供了不同的服务模型,其中存储即服务(StaaS)是基础架构云的基本块,可以满足用户对弹性计算资源的过多需求。但是考虑到竞争激烈的业务场景,选择最佳的云存储提供商是一项艰巨的任务。因此,可用性被认为是基于用户满意度评估更好的云存储的关键性能指标。本文旨在重点关注StaaS提供程序(即Google驱动器,Drop box和One驱动器)的可用性评估。本文提出了一种基于模糊的层次分析模型来衡量用户满意度。可用性评估是通过访谈和问卷调查法根据用户反馈进行的。为了消除模糊性,基于模糊方法对用户反馈进行了分析。而AHP模型用于衡量不同云存储服务的满意度,解决了选择最佳云存储的问题。

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