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CC-fog: Toward content-centric fog networks for E-health

机译:CC-雾:面向以内容为中心的雾网络,以实现电子医疗

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E-health is one of the domains which will need more and more IoT solutions in the future, as it requires short delays for life-dependency situations and safe local storage spaces for privacy matters. The emergency context demands efficient communication and computing capacities, and the cloud vision as well as traditional TCP/IP way of communication cannot really suit these requirements. New approaches are currently used : the fog computing paradigm, which describe the IoT environment in a more relevant way than the cloud vision, provides new performances as low latency, local storage opportunities, end-to-user services. E-health fogs have attracted a lot of attentions. To realize the efficient communication, E-Health systems also introduce Content-Centric Network (CCN) approach, whose characteristics include quick response, content distribution, IoT oriented technology. Nowadays, the existing E-health fog or CCN are seen as separate and autonomous networks, but many applications could require that those E-health fog computing systems exchange data, share processing results, or subscribe to each other information flux. In this paper we propose a solution for E-health systems to communicate by combining fog computing and CCN to provide communication efficiency and local storage opportunities. Finally we use simulation to evaluate the delay performances of our proposal.
机译:电子医疗保健是未来将需要越来越多的物联网解决方案的领域之一,因为它需要短暂的延迟以维持生活,并需要安全的本地存储空间来处理隐私事务。紧急情况要求有效的通信和计算能力,而云视觉以及传统的TCP / IP通信方式并不能真正满足这些要求。当前使用的新方法是:雾计算范例,它以比云愿景更相关的方式描述了IoT环境,并提供了新的性能,例如低延迟,本地存储机会,最终用户服务。电子医疗雾已经引起了很多关注。为了实现高效的通信,E-Health系统还引入了以内容为中心的网络(CCN)方法,其特点包括快速响应,内容分发,面向物联网的技术。如今,现有的E-health雾或CCN被视为独立的自治网络,但是许多应用程序可能要求这些E-health雾计算系统交换数据,共享处理结果或彼此订阅信息流。在本文中,我们提出了一种通过结合雾计算和CCN来实现电子医疗系统通信的解决方案,以提供通信效率和本地存储机会。最后,我们使用仿真来评估我们建议的延迟性能。

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