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An Overview on Edge Computing Research

IEEE Access · 2020 · Vol. 8 · pp. 85714–85728
Keyan CaoYefan LiuGongjie MengQimeng Sun

Abstract

With the rapid development of the Internet of Everything (IoE), the number of smart devices connected to the Internet is increasing, resulting in large-scale data, which has caused problems such as bandwidth load, slow response speed, poor security, and poor privacy in traditional cloud computing models. Traditional cloud computing is no longer sufficient to support the diverse needs of today's intelligent society for data processing, so edge computing technologies have emerged. It is a new computing paradigm for performing calculations at the edge of the network. Unlike cloud computing, it emphasizes closer to the user and closer to the source of the data. At the edge of the network, it is lightweight for local, small-scale data storage and processing. This article mainly reviews the related research and results of edge computing. First, it summarizes the concept of edge computing and compares it with cloud computing. Then summarize the architecture of edge computing, keyword technology, security and privacy protection, and finally summarize the applications of edge computing.

IoT and Edge/Fog ComputingCloud Data Security SolutionsBlockchain Technology Applications and SecurityCloud computingEdge computingComputer scienceEnhanced Data Rates for GSM EvolutionThe InternetUtility computingDistributed computingEdge deviceEnd-user computingCloud testing

Funding

  • National Natural Science Foundation of China
  • Natural Science Foundation of Liaoning Province
Citations
1,152
FWCI
74.99
field-weighted impact
References
53
Percentile
100%
vs. same field & year
Citations per year
References
Edge Computing: Vision and Challenges
IEEE Internet of Things Journal · 2016 · 7,597 citations
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