Authors:
Yunqi Dong
;
Jiujun Bai
and
Xuebo Chen
Affiliation:
School of Electronic and Information Engineering, University of Science and Technology Liaoning, Qianshan Road, Anshan 114051, Liaoning, China
Keyword(s):
Edge Computing Nodes, Trust, Virtualization Technology, Isolation Technology.
Abstract:
Due to the limitations of resources on the IoT device side, it is necessary to provide users with services not only by means of a long-distance cloud computing center node, but also by some edge computing nodes. If all the data on the device side is transmitted to the cloud center node, it will be returned to the device side after unified processing. This transmission method will bring great pressure to the network link and data center, and it will also cause the cloud center node to overload and refuse service. In order to speed up the data processing and reduce delay, we briefly summarize the edge computing node model in this paper. Firstly, considering the properties of privacy, security, trust and resource scheduling, etc., the edge computing is analyzed. Then, based on these properties, the definition, architecture, and collaboration with cloud-edge-net of edge computing are discussed. We also introduce the current key technologies used in edge computing, such as network, virtua
lization, isolation, deep learning, and access control technologies. Finally, we give a prospect of the possible application of edge computing in the future.
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