计算机科学
GSM演进的增强数据速率
边缘计算
数据科学
电信
作者
Fang Liu,Guoming Tang,Youhuizi Li,Zhiping Cai,Xingzhou Zhang,Tongqing Zhou
出处
期刊:Proceedings of the IEEE
[Institute of Electrical and Electronics Engineers]
日期:2019-06-26
卷期号:107 (8): 1537-1562
被引量:276
标识
DOI:10.1109/jproc.2019.2920341
摘要
Driven by the visions of Internet of Things and 5G communications, the edge computing systems integrate computing, storage, and network resources at the edge of the network to provide computing infrastructure, enabling developers to quickly develop and deploy edge applications. At present, the edge computing systems have received widespread attention in both industry and academia. To explore new research opportunities and assist users in selecting suitable edge computing systems for specific applications, this survey paper provides a comprehensive overview of the existing edge computing systems and introduces representative projects. A comparison of open-source tools is presented according to their applicability. Finally, we highlight energy efficiency and deep learning optimization of edge computing systems. Open issues for analyzing and designing an edge computing system are also studied in this paper.
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