Chinese Journal on Internet of Things ›› 2021, Vol. 5 ›› Issue (2): 7-17.doi: 10.11959/j.issn.2096-3750.2021.00206

Special Issue: 边缘计算

• Topic: Edge Intelligence and Fog Computing in IoT • Previous Articles     Next Articles

Cloud native based edge computing: vision and challenges

Deze ZENG1, Lvhao CHEN1, Lin GU2, Yuepeng LI1   

  1. 1 School of Computer Science, China University of Geosciences, Wuhan 430074, China
    2 School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
  • Revised:2021-02-05 Online:2021-06-30 Published:2021-06-01
  • Supported by:
    The National Natural Science Foundation of China(61772480);The National Natural Science Foundation of China(61972171);The Open Research Projects of Zhejiang Lab(2021KE0AB02)


Cloud native computing, featured by low-cost container technology, well fits edge computing.It was proposed to apply cloud native computing to make edge computing resource management and control transparent to application development and operation.Compared with cloud computing, edge computing resources are widely distributed, highly heterogeneous, and fragmented, which called for collaborative resource management and control.According to the development status of cloud native related technologies, through the integration of future networking technologies such as soft were defined network and network function virtualization, a full-stack cloud native based edge computing architecture was proposed.Then, considering the hierarchical characteristics of containers, a low-overhead container deployment optimization problem for resource-limited edge computing was studied.Finally, the development challenges faced by cloud native based edge computing were discussed.

Key words: cloud native, edge computing, container, micro service

CLC Number: 

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