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Cloud Computing Data Center Adoption Factors Validity By Fuzzy AHP

机译:基于模糊层次分析法的云计算数据中心采用因素有效性

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Most sectors of the economy like the universities, high-tech, financial services, and government institutions have data center. However, there are some issues which encompass current data center such as physical location, energy consumption, performance, flexibility. Big organizations like Google, IBM have migrated toward cloud computing, and using cloud data center as the most cost efficient alternative to the current data center. Cloud computing is a model that provides suitable and on-demand access to a shared pool of configurable computing resources, but unfortunately, it has some attendant problems like security issue, lack of proper policy and standardization. Therefore, in spite of the provision of all the benefits of cloud computing, such as cost reduction, flexibility, easy implementation and accessibility, some organisations are suspected to move toward cloud computing data center. Therefore, the main focus of this paper is to determine the critical success factors for the adoption of cloud computing data center. To achieve this, a structural literature review of existing work and semi structured interview with ten IT administration and IT staff were carried out. We also performed a content validity using a panel of experts including 12 experts with more than 5 years experience. Subsequently, a FAHP technique was used to evaluate experts' consensuses.
机译:经济的大多数部门,例如大学,高科技,金融服务和政府机构,都具有数据中心。但是,有些问题涵盖了当前的数据中心,例如物理位置,能耗,性能,灵活性。像Google,IBM这样的大型组织已经向云计算迁移,并使用云数据中心作为当前数据中心的最具成本效益的替代方案。云计算是一种模型,它提供对共享的可配置计算资源池的按需访问的模型,但是不幸的是,它具有一些附带的问题,例如安全性问题,缺乏适当的策略和标准化。因此,尽管提供了云计算的所有优势,例如降低成本,灵活性,易于实施和可访问性,但仍怀疑某些组织会转向云计算数据中心。因此,本文的主要重点是确定采用云计算数据中心的关键成功因素。为了实现这一目标,对现有工作进行了结构性文献审查,并对10名IT管理人员和IT人员进行了半结构化访谈。我们还由包括12位具有5年以上经验的专家组成的专家小组进行了内容有效性测试。随后,FAHP技术被用于评估专家的共识。

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