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

机译:CC-FOG:用于以内容为中心的雾网络,用于电子健康

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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:电子健康是将来需要越来越多的IOT解决方案的域之一,因为它需要终身依赖情况和安全本地存储空间的短暂延迟。紧急上下文要求有效的通信和计算能力,云视觉以及传统的TCP / IP通信方式无法真正适合这些要求。目前使用新方法:雾计算范例,描述了与云视觉更相关的方式的IOT环境,提供了新的表现,作为低延迟,本地存储机会,最终用户服务。电子健康雾吸引了很多关注。为了实现有效的通信,电子卫生系统还引入了以内容为中心的网络(CCN)方法,其特征包括快速响应,内容分布,IOT导向技术。如今,现有的电子健康雾或CCN被视为独立和自主网络,但许多应用程序可能要求那些电子健康雾计算系统交换数据,共享处理结果或订阅彼此信息通量。在本文中,我们提出了一种通过组合雾计算和CCN来沟通电子卫生系统的解决方案,以提供通信效率和本地存储机会。最后,我们使用模拟来评估我们提案的延迟表现。

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