Journal
COMPUTER COMMUNICATIONS
Volume 151, Issue -, Pages 556-580Publisher
ELSEVIER
DOI: 10.1016/j.comcom.2020.01.004
Keywords
Edge computing; Energy efficiency; Computing offloading; Benchmarking; Computation partitioning
Categories
Funding
- Natural Science Foundation of China [61972118, 61972358, 61572163]
- Key Research and Development Program of Zhejiang Province, China [2018C01098, 2019C01059]
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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.
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