Chinese Journal of Intelligent Science and Technology ›› 2022, Vol. 4 ›› Issue (1): 118-128.doi: 10.11959/j.issn.2096-6652.202201

Special Issue: 边缘计算

• Papers and Reports • Previous Articles     Next Articles

Research on application of edge computing system based on KubeEdge

Hang ZHAO1,2, Sheng LIU1, Kun LUO1, Shichao CHEN1, Linghui KONG3, Fan JIA1,4   

  1. 1 The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
    2 Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
    3 National Laboratory of Pattern Recognition Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
    4 School of Engineering, University of Melbourne, Melbourne 3051, Australia
  • Revised:2021-04-01 Online:2022-03-15 Published:2022-03-01
  • Supported by:
    The National Key Research and Development Program of China(2018YFB1700602);The National Natural Science Foundation of China(61773381);The National Natural Science Foundation of China(61773382);The National Natural Science Foundation of China(61872365);Beijing Natural Science Foundation(4182065)

Abstract:

With the increasing development of Internet of things, traditional data processing methods based on cloud computing have shown many problems, such as high bandwidth occupation and time delay.Edge computing can be a supplement for cloud computing with the characteristics of low latency and high reliability to process data.The KubeEdge edge computing system and its application were mainly discussed and analyzed.Firstly, the system architecture, functions, and key technologies of KubeEdge were introduced.Secondly, the KubeEdge was applied to the parts assembly scenario with dual-arm cooperative robot, and the functions and performances of a cloud-edge collaboration system based on KubeEdge for the robot assembly application were analyzed and tested.The experimental results show that the system can satisfy the functional and application requirements of the scenario, which also provides basic reference and guidance for practical applications of KubeEdge.

Key words: edge computing, KubeEdge, cloud-edge collaboration, robot

CLC Number: 

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