论文标题
选择足以适合大数据案例研究的云服务的方法：电子健康环境
An Approach for Selecting Cloud Service Adequate to Big Data Case Study: E-health Context
论文作者
论文摘要
扩展的云计算服务为消费者提供了最佳服务和最佳成本的绝佳机会。它提供了计算能力和一个尤其是用于大数据处理的存储空间。但是，它提出了如何从巨大游泳池中选择最佳服务的新挑战。消费者收集必要的信息并分析所有服务提供商以做出正确的决定是耗时的。此外，从计算的角度来看，这是一项高度要求的任务，因为相同的计算可以由具有相似要求的多个消费者反复进行。因此，在本文中，我们提出了一种基于分析层次结构过程（AHP）方法的方法，该方法根据其参数和标准管理了足以适合大数据的云服务的选择。我们将此方法应用于案例研究，以验证其效果。研究的案例是关于在英国（英国）国家卫生服务（NHS）的背景下选择足够的云服务。
The expanding Cloud computing's services offers great opportunities for consumers to find the best service and best cost. It offers a computing power and a storage space adapted especially for Big Data processing. However, it raises new challenges on how to select the best service out of the huge pool. It is time-consuming for consumers to collect the necessary information and analyze all service providers to make the right decision. Moreover, it'is a highly demanding task from a computational perspective, because the same computations may be conducted repeatedly by multiple consumers who have similar requirements. Therefore, in this paper, we propose an approach based on Analytic Hierarchy Process (AHP) method, which manages the selection of the Cloud Service adequate to Big Data based on its parameters and criteria. We applied this approach on a case study in order to validate its efficity. The studied case is about the selection of the adequate Cloud Service for Big Data in the context of National Health Service (NHS) of United Kingdom (UK).
