算力网络研究进展综述

doi:10.11959/j.issn.2096-109x.2021034

网络与信息安全学报 ›› 2021, Vol. 7 ›› Issue (5): 1-12.doi: 10.11959/j.issn.2096-109x.2021034

• 综述 • 下一篇

算力网络研究进展综述

贾庆民¹, 丁瑞², 刘辉¹, 张晨¹, 谢人超¹^,³

¹ 紫金山实验室，江苏南京 211111
² 广东省新一代通信与网络创新研究院，广东广州 510000
³ 北京邮电大学网络与交换技术国家重点实验室，北京 100876

修回日期:2020-12-14 出版日期:2021-10-15 发布日期:2021-10-01
作者简介:贾庆民（1990− ），男，山东泰安人，博士，紫金山实验室研究员，主要研究方向为边缘计算、边缘智能、算力网络、工业互联网
丁瑞（1984− ），男，江苏南京人，广东省新一代通信与网络创新研究院研究员，主要研究方向为软件定义网络、网络安全
刘辉（1983− ），男，江苏沛县人，博士，紫金山实验室研究员，主要研究方向为移动边缘计算、边缘智能技术、工业互联网
张晨（1992− ），男，辽宁兴城人，硕士，紫金山实验室研究员，主要研究方向为未来网络体系架构、软件定义网络、云网融合、云原生网络
谢人超（1984− ），男，福建南平人，博士，北京邮电大学教授、博士生导师，主要研究方向为信息中心网络、工业互联网、标识解析技术、边缘计算、无服务器计算
基金资助:
国家重点研发计划(2019YFB1804403)

Survey on research progress for compute first networking

Qingmin JIA¹, Rui DING², Hui LIU¹, Chen ZHANG¹, Renchao XIE¹^,³

¹ Purple Mountain Laboratories, Nanjing 211111, China
² Guangdong Province New Generation Communication and Network Innovation Research Institute, Guangzhou 510000, China
³ State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China

Revised:2020-12-14 Online:2021-10-15 Published:2021-10-01
Supported by:
The National Key R＆D Program of China(2019YFB1804403)

摘要/Abstract

摘要：

摘要：随着新型网络业务和应用的不断发展与成熟，云计算、边缘计算、智能终端设备得到了快速发展，计算资源呈现出泛在部署的趋势，如何高效协同地利用这些泛在计算资源成为当前网络领域研究的一项重要新课题。在此背景下，算力网络（CFN，compute first networking）的概念被提出，并引起了广泛的关注，其基本思想是将算力和网络深度融合，协同分布式的计算资源，提升计算资源的利用率，同时改善用户的网络服务体验。首先分析了算力网络的提出背景和研究现状，然后介绍算力网络的基本架构、工作流程，以及算力网络的关键技术，最后对算力网络发展方向以及面临挑战进行分析。

关键词: 边缘计算, 网络计算融合, 算力网络, 协同

Abstract:

With the development of 5G and mobile Internet technology, cloud computing, edge computing and intelligent terminal devices have been developed rapidly.Computing resources indicate a trend of ubiquitous deployment.How to use ubiquitous computing resources efficiently and collaboratively has become a hot topic at present in network field.In this context, the concept of compute first networking (CFN) has been proposed and attracted wide attention.Its basic idea is to enhance utilization of computing resources and improve user experience of network services, by converging computing and network deeply as well as coordinating distributed computing resources.Firstly the background and research status of CFN were analyzed, and then basic structure, workflow, and key technologies about CFN were explicated.Finally, future research directions and challenges about CFN were summarized.

Key words: edge computing, convergence of computing and network, compute first networking, coordination

中图分类号:

TP393

贾庆民, 丁瑞, 刘辉, 张晨, 谢人超. 算力网络研究进展综述[J]. 网络与信息安全学报, 2021, 7(5): 1-12.

Qingmin JIA, Rui DING, Hui LIU, Chen ZHANG, Renchao XIE. Survey on research progress for compute first networking[J]. Chinese Journal of Network and Information Security, 2021, 7(5): 1-12.

图/表 5

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服务ID	计算负载	网络成本	下一跳
SID 1	3	5	CFN出口节点1

算力网络研究进展综述

Survey on research progress for compute first networking

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