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Towards the Design of a System and a Workflow Model for Medical Big Data Processing in the Hybrid Cloud

机译:混合云中医疗大数据处理系统和工作流模型的设计

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摘要

Globally, a big data analytics technology is being issued in various business areas including the medical field. Because the technologies demand a large number of resources, studies on a distributed cloud including a hybrid cloud technology are needed. However, there are limitations of performance and cost since the most of hospitals use the private cloud of low computing resource. Thus, a research on the hybrid cloud is required to resolve the limitations. In this paper, we propose and evaluate a system called BigPros for medical big data processing with the proposed workflow model in the hybrid cloud resolving above issues. Based on this study, the BigPros can provide an efficient data processing method for a medical big data analytics in the hybrid cloud environment.
机译:在全球范围内,大数据分析技术正在包括医疗领域在内的各个业务领域中发布。由于技术需要大量资源,因此需要对包括混合云技术的分布式云进行研究。但是,由于大多数医院都使用低计算资源的私有云,因此性能和成本存在局限性。因此,需要对混合云进行研究以解决这些限制。在本文中,我们提出并评估了一个名为BigPros的系统,用于医疗大数据处理,并在混合云中解决了上述问题,并提出了工作流模型。基于这项研究,BigPros可以为混合云环境中的医疗大数据分析提供一种有效的数据处理方法。

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