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Enhance Network Communications in a Cloud-Based Real-Time Health Analytics Platform Using SDN

机译:使用SDN在基于云的实时健康分析平台中增强网络通信

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Transferring collected physiological data from health facilities to a cloud-based health analytical platform can be seen as an efficient and cost effective approach to provide clinical support to rural and remote healthcare centres from urban based specialists. A cloud-based healthcare platform will reduce the requirement of patient transfer due to lack of clinical experts or providing consultative support through the phone. However transferring physiological data streams through a data path with insufficient quality and unsatisfactory conditions may have negative performance impact on real-time data processing. To address this issue, we study the benefit of using software-defined networking (SDN) technology. SDN as an emerging networking paradigm, can be employed to manage and control network conditions and apply desired policies. This research introduces the significant features in SDN technology to transfer physiological data streams through an alternative path with a better quality rather than the congested predetermined shortest path in order to enhance data transfer reliability and improve real-time data processing quality.
机译:将收集的生理数据从医疗机构转移到基于云的医疗分析平台,可以看作是一种有效且具有成本效益的方法,可以从城市专家那里为农村和偏远的医疗中心提供临床支持。基于云的医疗平台将由于缺乏临床专家或通过电话提供咨询支持而减少患者转移的需求。但是,通过质量不足且条件不令人满意的数据路径传输生理数据流可能会对实时数据处理产生负面影响。为了解决此问题,我们研究了使用软件定义网络(SDN)技术的好处。 SDN作为新兴的网络范例,可用于管理和控制网络状况并应用所需的策略。这项研究介绍了SDN技术的重要功能,即通过一条质量更好的替代路径而不是拥塞的预定最短路径来传输生理数据流,从而增强数据传输的可靠性并提高实时数据处理的质量。

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