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Dynamic control in Fog Computing infrastructure

机译:雾计算基础设施的动态控制

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摘要

In the Internet of Things era, a big volume of data is generated/gathered every second from billions of connected devices. The current network paradigm, which relies on centralised data centres (Cloud computing), becomes an impractical solution for IoT data storing and processing due to the long distance between the data source (e.g., sensors) and designated data centres. It worth noting that the long distance in this context refers to the physical path and time interval of when data is generated and when it get processed. To explain more, by the time the data reaches a far data centre, the importance of the data can be depreciated. Therefore, the network topologies have evolved to permit data processing and storage at the edge of the network, introducing what so-called fog Computing. The later will obviously lead to improvements in quality of service via processing and responding quickly and efficiently to varieties of data processing requests. In this paper, Fog Resource manAgeMEnt Scheme (FRAMES) has been proposed to crystallise fog distribution and management with an appropriate service load distribution and allocation.
机译:在事物互联网中,从数十亿连接设备中每秒生成/收集大量数据。当前网络范例依赖于集中式数据中心(云计算),这是由于数据源(例如,传感器)和指定数据中心之间的长距离而导致的IOT数据存储和处理的不切实际的解决方案。值得注意的是,在此上下文中的长距离是指生成数据时的物理路径和时间间隔,并且在被处理后的处理时。为了更多地解释,通过数据到达到远数据中心时,可以折旧数据的重要性。因此,网络拓扑已经发展以允许在网络边缘处的数据处理和存储,引入所谓的雾计算。后来将通过加工和响应快速有效地响应服务质量,以便快速有效地导致服务质量的改进。本文提出了雾资源管理方案(帧)以适当的服务负荷分布和分配结晶雾分布和管理。

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