云原生边缘计算：探索与展望

曾德泽; 陈律昊; 顾琳; 李跃鹏

doi:10.11959/j.issn.2096-3750.2021.00206

您当前的位置：

首页 >

文章列表页 >

云原生边缘计算：探索与展望

专题：物联网边缘智能与雾计算技术 | 更新时间：2024-06-05

- 云原生边缘计算：探索与展望
- Cloud native based edge computing: vision and challenges
- 物联网学报 2021年5卷第2期页码：7-17
- 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：
  
  [ "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" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(61772480);国家自然科学基金资助项目;The National Natural Science Foundation of China(61972171);之江实验室开放课题;The Open Research Projects of Zhejiang Lab(2021KE0AB02)
- DOI：10.11959/j.issn.2096-3750.2021.00206
  中图分类号： TP393
- 纸质出版日期：2021-06-30，
  
  网络出版日期：2021-06，
- 稿件说明：
移动端阅览
曾德泽, 陈律昊, 顾琳, 等. 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, et al. Cloud native based edge computing: vision and challenges. [J]. Chinese journal on internet of things, 2021, 5(2): 7-17.
曾德泽, 陈律昊, 顾琳, 等. 云原生边缘计算：探索与展望[J]. 物联网学报, 2021,5(2):7-17. DOI： 10.11959/j.issn.2096-3750.2021.00206.

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

references

XU J, CHEN L X, ZHOU P . Joint service caching and task offloading for mobile edge computing in dense networks[C]// IEEE INFOCOM 2018-IEEE Conference on Computer Communications. Piscataway:IEEE Press, 2018: 207-215.

CHEN X, JIAO L, LI W Z ,et al. Efficient multi-user computation offloading for mobile-edge cloud computing[J]. IEEE/ACM Transactions on Networking, 2016,24(5): 2795-2808.

DAI Y Y, XU D, MAHARJAN S ,et al. Joint computation offloading and user association in multi-task mobile edge computing[J]. IEEE Transactions on Vehicular Technology, 2018,67(12): 12313-12325.

ZHOU Y Q, TIAN L, LIU L ,et al. Fog computing enabled future mobile communication networks:a convergence of communication and computing[J]. IEEE Communications Magazine, 2019,57(5): 20-27.

QI Y L, TIAN L, ZHOU Y Q ,et al. Mobile edge computing-assisted admission control in vehicular networks:the convergence of communication and computation[J]. IEEE Vehicular Technology Magazine, 2019,14(1): 37-44.

ZHOU Y Q, LIU L, WANG L ,et al. Service-aware 6G:an intelligent and open network based on the convergence of communication,computing and caching[J]. Digital Communications and Networks, 2020,6(3): 253-260.

KRÓL M, MASTORAKIS S, ORAN D ,et al. Compute first networking:distributed computing meets ICN[C]// The 6th ACM Conference on Information-Centric Networking. New York:ACM Press, 2019: 67-77.

刘泽宁, 李凯, 吴连涛 ,等. 多层次算力网络中代价感知任务调度算法[J]. 计算机研究与发展, 2020,57(9): 1810-1822.

LIU Z N, LI K, WU L T ,et al. CATS:cost aware task scheduling in multi-tier computing networks[J]. Journal of Computer Research and Development, 2020,57(9): 1810-1822.

PORAMBAGE P, OKWUIBE J, LIYANAGE M ,et al. Survey on multi-access edge computing for Internet of things realization[J]. IEEE Communications Surveys ＆ Tutorials, 2018,20(4): 2961-2991.

TALEB T, SAMDANIS K, MADA B ,et al. On multi-access edge computing:a survey of the emerging 5G network edge cloud architecture and orchestration[J]. IEEE Communications Surveys ＆ Tutorials, 2017,19(3): 1657-1681.

LEBRE A, PASTOR J, SIMONET A ,et al. Revising OpenStack to operate fog/edge computing infrastructures[C]// 2017 IEEE International Conference on Cloud Engineering (IC2E). Piscataway:IEEE Press, 2017: 138-148.

NIU Y P, LIU F M, LI Z P . Load balancing across microservices[C]// IEEE INFOCOM 2018 - IEEE Conference on Computer Communications. Piscataway:IEEE Press, 2018: 198-206.

邬江兴 . 新型网络技术发展思考[J]. 中国科学:信息科学, 2018,48(8): 1102-1111.

WU J X . Thoughts of the development of novel network technology[J]. SCIENTIA SINICA Informationis, 2018,48(8): 1102-1111.

朱建军, 方琰崴 . 面向服务的5G云原生核心网及关键技术研究[J]. 数字通信世界, 2018(2): 111.

ZHU J J, FANG Y W . Research on service oriented 5G cloud native core network and its key technologies[J]. Digital Communication World, 2018(2): 111.

王全 . 云原生Cloud Native核心网方案及关键技术[J]. 中国新通信, 2018,20(9): 61-62.

WANG Q . Cloud native core network scheme and key technologies[J]. China New Telecommunications, 2018,20(9): 61-62.

胡聪丛 . 无服务器计算的现状以及所面临的挑战[J]. 网络安全技术与应用, 2019(12): 84-85.

HU C C . The current situation and challenges of serverless compu-ting[J]. Network Security Technology ＆ Application, 2019(12): 84-85.

HUNG Y H, WANG C Y . Fog micro service market:promoting fog computing using free market mechanism[C]// 2018 IEEE Wireless Communications and Networking Conference (WCNC). Piscataway:IEEE Press, 2018: 1-6.

YU R, KILARI V T, XUE G ,et al. Load balancing for interdependent IoT microservices[C]// IEEE Conference on Computer Communications. Piscataway:IEEE Press, 2019.

LI W B, LEMIEUX Y, GAO J ,et al. Service mesh:challenges,state of the art,and future research opportunities[C]// 2019 IEEE International Conference on Service-Oriented System Engineering (SOSE). Pisca-taway:IEEE Press, 2019: 122-1225.

VILLARI M, CELESTI A, TRICOMI G ,et al. Deployment orchestration of microservices with geographical constraints for edge computing[C]// 2017 IEEE Symposium on Computers and Communications (ISCC). Piscataway:IEEE Press, 2017: 633-638.

WANG Y, ZHAO C, YANG S ,et al. MPCSM:microservice placement for edge-cloud collaborative smart manufacturing[J]. IEEE Transactions on Industrial Informatics, 2020.

浏览量

1321

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

面向情感计算的智慧教室系统构建以及优化

基于能量收集技术的协作卸载计算方案

车联网边缘计算场景下基于改进型NSGA-Ⅱ算法的边缘服务器部署决策

基于STM32的农业物联网病虫害图像识别算法研究

一种应用于边缘计算的区块链分片方案