云原生边缘计算：探索与展望

doi:10.11959/j.issn.2096-3750.2021.00206

物联网学报 ›› 2021, Vol. 5 ›› Issue (2): 7-17.doi: 10.11959/j.issn.2096-3750.2021.00206

所属专题：边缘计算

• 专题：物联网边缘智能与雾计算技术 • 上一篇下一篇

云原生边缘计算：探索与展望

曾德泽¹, 陈律昊¹, 顾琳², 李跃鹏¹

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

修回日期:2021-02-05 出版日期:2021-06-30 发布日期:2021-06-01
作者简介:曾德泽（1984- ），男，中国地质大学（武汉）教授、博士生导师，主要研究方向为边缘计算、未来网络技术、物联网等
陈律昊（1996- ），男，中国地质大学（武汉）硕士生，主要研究方向为边缘计算、微服务部署等
顾琳（1985- ），女，华中科技大学副教授，主要研究方向为边缘计算、未来网络技术等
李跃鹏（1994- ），男，中国地质大学（武汉）博士生，主要研究方向为边缘计算、任务调度、可信执行环境等
基金资助:
国家自然科学基金资助项目(61772480);国家自然科学基金资助项目(61972171);之江实验室开放课题(2021KE0AB02)

Cloud native based edge computing: vision and challenges

Deze ZENG¹, Lvhao CHEN¹, Lin GU², Yuepeng LI¹

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)

摘要/Abstract

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。

关键词: 云原生, 边缘计算, 容器, 微服务

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.

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

中图分类号:

TP393

曾德泽, 陈律昊, 顾琳, 李跃鹏. 云原生边缘计算：探索与展望[J]. 物联网学报, 2021, 5(2): 7-17.

Deze ZENG, Lvhao CHEN, Lin GU, Yuepeng LI. Cloud native based edge computing: vision and challenges[J]. Chinese Journal on Internet of Things, 2021, 5(2): 7-17.

图/表 6

图1

图2

图3

表1

数学符号与定义"

符号	定义
$N$	常量集合，服务器集合
$I$	常量集合，容器集合
$L$	常量集合，所有容器包含的层集合
$P_{n}$	服务器 $n \in N$ 的计算资源
$S_{n}$	服务器 $n \in N$ 的存储资源
$B_{n}$	服务器 $n \in N$ 的通信资源
$C_{l}$	容器中的 $l \in L$ 层所占的存储资源
$z_{i}^{l}$	二元常量，容器 $i \in I$ 是否需要层 $l \in L$
$x_{n}^{i}$	二元变量，容器 $i \in I$ 是否被部署在服务器 $n \in N$ 上
$y_{n}^{l}$	二元变量，层 $l \in L$ 是否被部署在服务器 $n \in N$ 上
$d_{i}$	容器 $i \in I$ 所需要的计算资源
$b_{i}$	容器 $i \in I$ 所需要的通信资源

表1

图4

图5

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云原生边缘计算：探索与展望

Cloud native based edge computing: vision and challenges

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