智能电表的边缘计算框架

I. Satoh
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引用次数: 2

摘要

智能电表通过慢速无线或有线网络连接,例如,多跳无线网络。为了减少来自多个智能电表的数据传输中的跳数,我们提出了一个框架,使边缘计算可以在智能电表中使用。该框架旨在支持MapReduce处理,通过使用移动代码和移动代理技术来计算和分析智能电表中的数据、用电量。它可以动态部署处理智能电表数据的程序作为地图步骤,并使用本地数据执行程序。最后,它将程序的结果汇总到某些智能电表中作为减少步骤。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Framework for Edge Computing on Smart Meters
Smart meters are connected through slow wireless or wired networks, e.g., multi-hop wireless networks. To reduce the number of hops in data transmission from multiple smart meters, we present a framework for enabling edge computing to be available in smart meters. The framework is designed for supporting MapReduce processing to calculate and analyze data, the amount of power usage, in smart meters by using mobile code and mobile agent technologies. It can dynamically deploy programs for processing data at smart meters as a map step and executes the programs with local data. Finally, it aggregates the results of the programs to certain smart meters as a reduce step.
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