4.7 Article

A Survey on Edge Computing Systems and Tools

期刊

PROCEEDINGS OF THE IEEE
卷 107, 期 8, 页码 1537-1562

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JPROC.2019.2920341

关键词

Deep learning optimization; edge computing systems; energy efficiency; open-source tools; survey

资金

  1. National Key Research and Development Program of China [2016YFB1000302]
  2. National Natural Science Foundation of China [61433019]

向作者/读者索取更多资源

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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