A Survey of Key Issues in Edge Intelligent Computing Under Cloud-Edge-Terminal Architecture: Computing Optimization and Computing Offloading

DONG Yumin; ZHANG Jing; XIE Changzuo; LI Ziyang

doi:10.11999/JEIT230390

Volume 46 Issue 3

Mar. 2024

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Article Navigation > Journal of Electronics & Information Technology > 2024 > 46(3): 765-776

DONG Yumin, ZHANG Jing, XIE Changzuo, LI Ziyang. A Survey of Key Issues in Edge Intelligent Computing Under Cloud-Edge-Terminal Architecture: Computing Optimization and Computing Offloading[J]. Journal of Electronics & Information Technology, 2024, 46(3): 765-776. doi: 10.11999/JEIT230390

Citation:

DONG Yumin, ZHANG Jing, XIE Changzuo, LI Ziyang. A Survey of Key Issues in Edge Intelligent Computing Under Cloud-Edge-Terminal Architecture: Computing Optimization and Computing Offloading[J]. Journal of Electronics & Information Technology, 2024, 46(3): 765-776. doi: 10.11999/JEIT230390

Citation:

DONG Yumin, ZHANG Jing, XIE Changzuo, LI Ziyang. A Survey of Key Issues in Edge Intelligent Computing Under Cloud-Edge-Terminal Architecture: Computing Optimization and Computing Offloading[J]. Journal of Electronics & Information Technology, 2024, 46(3): 765-776. doi: 10.11999/JEIT230390

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A Survey of Key Issues in Edge Intelligent Computing Under Cloud-Edge-Terminal Architecture: Computing Optimization and Computing Offloading

doi: 10.11999/JEIT230390

DONG Yumin^{1, 2, 3},
ZHANG Jing^{1, 2},
XIE Changzuo^{1, 2, 3},
LI Ziyang^{1, 2
,
,}

1.
Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
2.
Key Laboratory of Quantitative Remote Sensing Information Technology, Chinese Academy of Sciences, Beijing 100094, China
3.
School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China

Funds: National Key R&D Program (2021YFC3002204)

Received Date: 2023-05-09
Rev Recd Date: 2023-07-07

Available Online: 2023-07-14

Publish Date: 2024-03-27

Abstract

Abstract

With the rapid increase in the number of network access devices and the volume of network access data currently, the shortcomings of the centralized computing architecture represented by cloud computing are increasingly exposed. Edge computing, that is making computing as close to the data source as possible to reduce data transmission time and network delay, has become the focus of academia and industry as a supplement to cloud computing. An instance architecture widely used in edge computing: Cloud-Edge-Terminal architecture, and a typical application of edge computing: edge intelligent computing is focused on in this paper. Two key issues of edge intelligent computing under Cloud-Edge-Terminal architecture: computing optimization and computing offloading is analyzed. First, the research focus of edge intelligent computing is analyzed, and the application and research status of intelligent computing optimization under Cloud-Edge-Terminal architecture is combed. Then the research ideas and current situation of computing offloading under Cloud-Edge-Terminal architecture is discussed. Finally, the challenges and research trends of edge intelligent computing under Cloud-Edge-Terminal architecture is summarized.
- Cloud-Edge-Terminal,
- Edge intelligent computing,
- Computing optimization,
- Computing offloading

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References(79)

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