A study of state-of-the-art energy saving on edges

Kousalya Banka, Kun Suo, Yong Shi, S. Baidya
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引用次数: 1

Abstract

Edge computing or Internet of Things (IoT) comprises a set of devices that are interconnected ranging from our daily used objects to advanced networked equipment. It is constantly evolving as the number of devices owned by users is increasing at a rapid speed. These devices are used for various scenarios such as health care, monitoring, autonomous vehicles etc. However, as the edges perform more complex operations and IoTs carry increasing heavy workloads, they demand more energy to perform such tasks. In this paper, we perform a comprehensive study of state-of-the-art energy saving on edge platforms. Specifically, energy efficiency of the devices that run on the edges as well as corresponding solutions including hardware, software, algorithms, etc. will be thoroughly analyzed and we also presented the strengths and weakness of various researches in each area.
最先进的边缘节能研究
边缘计算或物联网(IoT)包括一组相互连接的设备,从我们日常使用的物体到先进的网络设备。随着用户拥有的设备数量快速增长,它也在不断发展。这些设备用于各种场景,如医疗保健、监控、自动驾驶汽车等。然而,随着边缘执行更复杂的操作,物联网承担越来越繁重的工作负载,它们需要更多的能量来执行这些任务。在本文中,我们对边缘平台上最先进的节能进行了全面研究。具体而言,我们将深入分析在边缘运行的设备的能效以及相应的解决方案,包括硬件、软件、算法等,并介绍各个领域的研究优势和不足。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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