云计算
边缘计算
计算机科学
GSM演进的增强数据速率
互联网
效用计算
分布式计算
边缘设备
终端用户计算
云测试
信息隐私
云安全计算
计算机网络
计算机安全
数据科学
万维网
电信
操作系统
作者
Keyan Cao,Yefan Liu,Gongjie Meng,Qimeng Sun
出处
期刊:IEEE Access
[Institute of Electrical and Electronics Engineers]
日期:2020-01-01
卷期号:8: 85714-85728
被引量:1106
标识
DOI:10.1109/access.2020.2991734
摘要
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.
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