确定性算力网络研究

doi:10.11959/j.issn.1000-436x.2022191

通信学报 ›› 2022, Vol. 43 ›› Issue (10): 55-64.doi: 10.11959/j.issn.1000-436x.2022191

确定性算力网络研究

贾庆民¹, 胡玉姣¹, 张华宇¹, 彭开来¹, 陈平平¹, 谢人超¹^,², 黄韬¹^,²

¹ 网络通信与安全紫金山实验室，江苏南京 211111
² 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:2022-09-07 出版日期:2022-10-25 发布日期:2022-10-01
作者简介:贾庆民（1990− ），男，山东泰安人，博士，网络通信与安全紫金山实验室研究员，主要研究方向为算力网络、确定性网络、边缘智能、工业互联网等
胡玉姣（1993− ），女，陕西榆林人，博士，网络通信与安全紫金山实验室研究员，主要研究方向为信息物理系统、深度学习、边缘计算、算力网络等
张华宇（1986− ），男，湖北十堰人，博士，网络通信与安全紫金山实验室研究员，主要研究方向为确定性网络、分布式计算等
彭开来（1987− ），男，江苏盐城人，网络通信与安全紫金山实验室研究员，主要研究方向为标识解析、边缘计算、时间敏感网络、大数据等
陈平平（1986− ），男，江苏淮安人，网络通信与安全紫金山实验室研究员，主要研究方向为新型网络体系架构、云网融合、开放可编程网络、确定性网络和工业互联网等
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、算力网络、边缘计算、无服务器计算
黄韬（1980− ），男，重庆人，博士，北京邮电大学教授、博士生导师，主要研究方向为路由与交换、软件定义网络、内容分发网络、确定性网络、算力网络等
基金资助:
国家重点研发计划基金资助项目(2019YFB1804403);国家自然科学基金资助项目(62171046)

Research on deterministic computing power network

Qingmin JIA¹, Yujiao HU¹, Huayu ZHANG¹, Kailai PENG¹, Pingping CHEN¹, Renchao XIE¹^,², Tao HUANG¹^,²

¹ Purple Mountain Laboratories, Nanjing 211111, China
² State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China

Revised:2022-09-07 Online:2022-10-25 Published:2022-10-01
Supported by:
The National Key Research and Development Program of China(2019YFB1804403);The National Natural Science Foundation of China(62171046)

摘要/Abstract

摘要：

摘要：为满足时间敏感、计算密集型业务的发展要求，研究了计算任务实时传输和实时计算的保障性问题。首先，简要介绍了算力网络和确定性网络的研究进展。然后，提出了确定性算力网络技术方案，并设计了技术架构与工作机制，通过算网感知、规划调度、资源管控等技术能力，实现计算任务的实时传输和实时计算，仿真结果也验证了所提技术方案的有效性。最后，分析了确定性算力网络的典型应用场景，并对未来发展趋势和技术挑战进行了探讨。

关键词: 算网融合, 确定性网络, 算力网络, 软件定义

Abstract:

In order to meet the development requirements of time-sensitive and computing-intensive businesses, the guarantee problem of real-time transmission and real-time computing of computing tasks was studied.Firstly, the research progress of computing power network and deterministic networking was briefly overviewed.Then, the technical scheme of deterministic computing power network was proposed, and the technical architecture and working mechanism were designed.Real-time transmission and real-time computing of computing tasks were realized through the technical capabilities such as computing-network perception, planning and scheduling, resource management and control.The simulation results also verified the effectiveness of the proposed technical scheme.Finally, the representative application scenarios of deterministic computing power network were analyzed, and the future development trends and technical challenges were discussed.

Key words: computing-network convergence, deterministic networking, computing power network, software definition

中图分类号:

TN91

贾庆民, 胡玉姣, 张华宇, 彭开来, 陈平平, 谢人超, 黄韬. 确定性算力网络研究[J]. 通信学报, 2022, 43(10): 55-64.

Qingmin JIA, Yujiao HU, Huayu ZHANG, Kailai PENG, Pingping CHEN, Renchao XIE, Tao HUANG. Research on deterministic computing power network[J]. Journal on Communications, 2022, 43(10): 55-64.

图/表 3

参考文献 43

[1]	WANG X F , HAN Y W , LEUNG V C M ,et al. Convergence of edge computing and deep learning:a comprehensive survey[J]. IEEE Communications Surveys ＆ Tutorials, 2020,22(2): 869-904.
[2]	QIU T , CHI J C , ZHOU X B ,et al. Edge computing in industrial Internet of things:architecture,advances and challenges[J]. IEEE Communications Surveys ＆ Tutorials, 2020,22(4): 2462-2488.
[3]	TANG X Y , CAO C , WANG Y X ,et al. Computing power network:the architecture of convergence of computing and networking towards 6G requirement[J]. China Communications, 2021,18(2): 175-185.
[4]	贾庆民, 丁瑞, 刘辉 ,等. 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.
	JIA Q M , DING R , LIU H ,et al. Survey on research progress for compute first networking[J]. Chinese Journal of Network and Information Security, 2021,7(5): 1-12.
[5]	The National Science and Technology Council (NSTC) Subcommittee on Future Advanced Computing Ecosystems. Pioneering the future advanced computing ecosystem:a strategic plan[R]. 2020.
[6]	NATE F , MCKEOWN N , REXFORD J ,et al. Using deep programmability to put network owners in control[J]. ACM SIGCOMM Computer Communication Review, 2020,50(4): 82-88.
[7]	The European Commission. 2030 digital compass:the European way for the digital decade[R]. 2021.
[8]	国家发展改革委,中央网信办,工业和信息化部,等. 国一体化大数据中心协同创新体系算力枢纽实施方案[R]. 2021.
	National Developmentand Reform Commission, Reform Commission. Implementation plan of computing power hub of national integrated big data center collaborative innovation system[R]. 2021.
[9]	国务院. “十四五”数字经济发展规划[R]. 2022.
	The State Council. “14th Five Year Plan” for digital economy development[R]. 2022.
[10]	WU Z Y , YAN D F . Deep reinforcement learning-based computation offloading for 5G vehicle-aware multi-access edge computing network[J]. China Communications, 2021,18(11): 26-41.
[11]	WAN J F , LI X M , DAI H N ,et al. Artificial-intelligence-driven customized manufacturing factory:key technologies,applications,and challenges[J]. Proceedings of the IEEE, 2021,109(4): 377-398.
[12]	KRóL M , MASTORAKIS S , ORAN D ,et al. Compute first networking:distributed computing meets ICN[C]// Proceedings of the 6th ACM Conference on Information-Centric Networking. New York:ACM Press, 2019: 67-77.
[13]	LIU B , MAO J W , XU L ,et al. CFN-dyncast:load balancing the edges via the network[C]// Proceedings of 2021 IEEE Wireless Communications and Networking Conference Workshops. Piscataway:IEEE Press, 2021: 1-6.
[14]	LEI B , ZHAO Q Y , MEI J . Computing power network:an interworking architecture of computing and network based on IP extension[C]// Proceedings of 2021 IEEE 22nd International Conference on High Performance Switching and Routing. Piscataway:IEEE Press, 2021: 1-6.
[15]	中国移动. 算力网络白皮书[R]. 2021.
	China Mobile. Computing force network white paper[R]. 2021.
[16]	中国联通研究院. 算力网络架构与技术体系白皮书[R]. 2020.
	China Unicom Research Institute. White paper on computing power network architecture and technology system[R]. 2020.
[17]	中国通信标准化协会. 算力网络总体技术要求[S]. 2021.
	China Communications Standards Association. General technical requirements of computing and network convergence[S]. 2021.
[18]	ITU-T.Y. 2501:computing power network - framework and architecture[S]. 2021.
[19]	CHEN H , TAO Y , ZHU Y . NSACS-PS:a named service access control scheme based on proxy signature in named computing first networking[C]// Proceedings of 2021 4th International Conference on Hot Information-Centric Networking (HotICN). Piscataway:IEEE Press, 2021: 81-85.
[20]	ZHANG L X , AFANASYEV A , BURKE J ,et al. Named data networking[J]. ACM SIGCOMM Computer Communication Review, 2014,44(3): 66-73.
[21]	YEHEZKEL A , ELYASHIV E , BARKAI S . Using CFN for uniform sampling of cloud-native datacenters[C]// Proceedings of 2022 IEEE 19th Annual Consumer Communications ＆ Networking Conference. Piscataway:IEEE Press, 2022: 967-968.
[22]	YU Q , REN J , FU Y J ,et al. Cybertwin:an origin of next generation network architecture[J]. IEEE Wireless Communications, 2019,26(6): 111-117.
[23]	BALAKRISHNAN H , BANERJEE S , CIDON I ,et al. Revitalizing the public Internet by making it extensible[J]. ACM SIGCOMM Computer Communication Review, 2021,51(2): 18-24.
[24]	黄韬, 汪硕, 黄玉栋 ,等. 确定性网络研究综述[J]. 通信学报, 2019,40(6): 160-176.
	HUANG T , WANG S , HUANG Y D ,et al. Survey of the deterministic network[J]. Journal on Communications, 2019,40(6): 160-176.
[25]	第五届未来网络发展大会组委会. 未来网络白皮书——确定性网络技术体系白皮书（2021版）[R]. 2021.
	Organizing Committee of the 5th Future Network Development Conference. Future network white paper - deterministic network technology white paper (version 2021)[R]. 2021.
[26]	BELLO L , STEINER W . A perspective on IEEE time-sensitive networking for industrial communication and automation systems[J]. Proceedings of the IEEE, 2019,107(6): 1094-1120.
[27]	WANG S , WU B W , ZHANG C ,et al. Large-scale deterministic IP networks on CENI[C]// Proceedings of IEEE Conference on Computer Communications Workshops. Piscataway:IEEE Press, 2021: 1-6.
[28]	XUE J L , SHOU G C , LI H X ,et al. Enabling deterministic communications for end-to-end connectivity with software-defined time-sensitive networking[J]. IEEE Network, 2022,36(2): 34-40.
[29]	孙雷, 王健全, 林尚静 ,等. 基于无线信道信息的5G与TSN联合调度机制研究[J]. 通信学报, 2021,42(12): 65-75.
	SUN L , WANG J Q , LIN S J ,et al. Research on 5G-TSN joint scheduling mechanism based on radio channel information[J]. Journal on Communications, 2021,42(12): 65-75.
[30]	LIU B Y , REN S S , WANG C ,et al. Towards large-scale deterministic IP networks[C]// Proceedings of 2021 IFIP Networking Conference (IFIP Networking). Piscataway:IEEE Press, 2021: 1-9.
[31]	HAN F X , WANG M W , CUI Y ,et al. Future data center networking:from low latency to deterministic latency[J]. IEEE Network, 2022,36(1): 52-58.
[32]	PENG G Y , WANG S , HUANG Y D ,et al. Enabling deterministic tasks with multi-access edge computing in 5G networks[J]. IEEE Communications Magazine, 2022,60(8): 36-42.
[33]	WU B W , WANG J S , WANG Y Y ,et al. Achieving deterministic service in mobile edge computing (MEC) networks[C]// Proceedings of 2021 IEEE 29th International Conference on Network Protocols. Piscataway:IEEE Press, 2021: 1-6.
[34]	董谦, 李俊, 马宇翔 ,等. 软件定义网络中基于分段路由的流量调度方法[J]. 通信学报, 2018,39(11): 23-35.
	DONG Q , LI J , MA Y X ,et al. Traffic scheduling method based on segment routing in software-defined networking[J]. Journal on Communications, 2018,39(11): 23-35.
[35]	YAN J , BI S Z , ZHANG Y J A . Offloading and resource allocation with general task graph in mobile edge computing:a deep reinforcement learning approach[J]. IEEE Transactions on Wireless Communications, 2020,19(8): 5404-5419.
[36]	苏建忠, 张华宇, 朱海龙 . 结合SDN控制器的TSN周期性带宽预留值计算方法[J]. 通信学报, 2021,42(10): 23-31.
	SU J Z , ZHANG H Y , ZHU H L . Computing method for periodic stream reservation in TSN combined with SDN controller[J]. Journal on Communications, 2021,42(10): 23-31.
[37]	陈山枝, 葛雨明, 时岩 . 蜂窝车联网(C-V2X)技术发展、应用及展望[J]. 电信科学, 2022,38(1): 1-12.
	CHEN S Z , GE Y M , SHI Y . Technology development,application and prospect of cellular vehicle-to-everything(C-V2X)[J]. Telecommunications Science, 2022,38(1): 1-12.
[38]	华为. 泛在算力:智能社会的基石[R]. 2020.
	Huawei. Ubiquitous computing power:the cornerstone of intelligent society[R]. 2020.
[39]	中国通信标准化协会. 5G 网络下的云化虚拟现实平台技术白皮书（2020）[R]. 2020.
	China Communications Standardization Association. White paper on cloud virtual reality platform technology under 5G network (2020)[R]. 2020.
[40]	TANG H , LI D , WAN J F ,et al. A reconfigurable method for intelligent manufacturing based on industrial cloud and edge intelligence[J]. IEEE Internet of Things Journal, 2020,7(5): 4248-4259.
[41]	HUNG M H , LIN Y C , HSIAO H C ,et al. A novel implementation framework of digital twins for intelligent manufacturing based on container technology and cloud manufacturing services[J]. IEEE Transactions on Automation Science and Engineering, 2022,19(3): 1614-1630.
[42]	JONAS E , SCHLEIER-SMITH J , SREEKANTI V ,et al. Cloud programming simplified:a Berkeley view on Serverless computing[J]. arXiv Preprint,arXiv:1902.03383, 2019.
[43]	何涛, 杨振东, 曹畅 ,等. 算力网络发展中的若干关键技术问题分析[J]. 电信科学, 2022,38(6): 62-70.
	HE T , YANG Z D , CAO C ,et al. Analysis of some key technical problems in the development of computing power network[J]. Telecommunications Science, 2022,38(6): 62-70.

确定性算力网络研究

Research on deterministic computing power network

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