Energy aware edge computing: A survey

被引：115

作者：

Jiang, Congfeng ^{[1
,2
]}

Fan, Tiantian ^{[1
,2
]}

Gao, Honghao ^{[3
]}

Shi, Weisong ^{[4
]}

Liu, Liangkai ^{[4
]}

Cerin, Christophe ^{[5
]}

Wan, Jian ^{[6
]}

机构：

[1] Hangzhou Manzi Univ, Sch Comp Sci & Technol, Hangzhou 310018, Peoples R China

[2] Hangzhou Dianzi Univ, Minist Educ, Key Lab Complex Syst Modeling & Simulat, Hangzhou 310018, Peoples R China

[3] Shanghai Univ, Comp Ctr, Shanghai 200444, Peoples R China

[4] Wayne State Univ, Dept Comp Sci, Detroit, MI 48202 USA

[5] Univ Paris 13, Sorbonne Paris Cite, LIPN UMR CNRS 7030, 99 Ave Jean Baptiste Clement, F-93430 Villetaneuse, France

[6] Zhejiang Univ Sci & Technol, Sch Informat & Elect Engn, Hangzhou 310023, Peoples R China

来源：

COMPUTER COMMUNICATIONS | 2020年 / 151卷

关键词：

Edge computing; Energy efficiency; Computing offloading; Benchmarking; Computation partitioning; SOFTWARE-DEFINED NETWORKING; WIRELESS SENSOR NETWORKS; ROUTING ALGORITHM; TASK ALLOCATION; SOLAR-CELLS; EFFICIENT; INTERNET; CLOUD; PERFORMANCE; RESOURCE;

D O I：

10.1016/j.comcom.2020.01.004

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Edge computing is an emerging paradigm for the increasing computing and networking demands from end devices to smart things. Edge computing allows the computation to be offloaded from the cloud data centers to the network edge and edge nodes for lower latency, security and privacy preservation. Although energy efficiency in cloud data centers has been broadly investigated, energy efficiency in edge computing is largely left uninvestigated due to the complicated interactions between edge devices, edge servers, and cloud data centers. In order to achieve energy efficiency in edge computing, a systematic review on energy efficiency of edge devices, edge servers, and cloud data centers is required. In this paper, we survey the state-of-the-art research work on energy-aware edge computing, and identify related research challenges and directions, including architecture, operating system, middleware, applications services, and computation offloading.

引用

页码：556 / 580

页数：25

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