Cloud native based edge computing: vision and challenges

Deze ZENG; Lvhao CHEN; Lin GU; Yuepeng LI

doi:10.11959/j.issn.2096-3750.2021.00206

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Cloud native based edge computing: vision and challenges

Topic: Edge Intelligence and Fog Computing in IoT | 更新时间：2024-06-05

- Cloud native based edge computing: vision and challenges
- Chinese Journal on Internet of Things Vol. 5, Issue 2, Pages: 7-17(2021)
- 作者机构：
  
  1. 中国地质大学（武汉）计算机学院，湖北武汉 430074
  2. 华中科技大学计算机科学与技术学院，湖北武汉 430074
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-3750.2021.00206
  CLC： TP393
- Published：30 June 2021，
  
  Published Online：2021-06，
- 稿件说明：
移动端阅览
DEZE ZENG, LVHAO CHEN, LIN GU, et al. Cloud native based edge computing: vision and challenges. [J]. Chinese journal on internet of things, 2021, 5(2): 7-17.
DOI：

DEZE ZENG, LVHAO CHEN, LIN GU, et al. Cloud native based edge computing: vision and challenges. [J]. Chinese journal on internet of things, 2021, 5(2): 7-17. DOI： 10.11959/j.issn.2096-3750.2021.00206.

摘要

云原生计算基于低开销容器化的运行方式非常契合边缘计算，因此，提出将云原生技术应用于边缘计算，发挥云原生的优势，使资源管控对应用开发部署透明化。考虑相较于云计算，边缘计算具有资源广分布、高异构、多碎片特征，亟须算网协同的资源管控。根据云原生相关技术的发展现状，整合软件定义网络与网络功能虚拟化等未来网络技术，提出全栈式云原生边缘计算架构。在此基础上，考虑容器的层次化特性，提出适用于有限边缘计算资源的低开销容器部署方法，分析探讨云原生边缘计算所面临的挑战。

Abstract

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.

关键词

云原生边缘计算容器微服务

Keywords

cloud nativeedge computingcontainermicro service

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