《中国工程科学》 >> 2023年 第25卷 第6期 doi: 10.15302/J-SSCAE-2023.06.014
智联计算网络技术发展研究
1. 中国人民解放军战略支援部队信息工程大学信息技术研究所,郑州 450002;
2. 中国科学院计算技术研究所,北京 100190;
3. 嵩山实验室,郑州 450018
下一篇 上一篇
摘要
算网融合的理念和技术处于发展初期,相应计算任务调度、网络互联也处于“脱节”状态,因而把握智联计算网络技术发展趋势并提出自主创新的战略构想及发展路线成为亟需。本文分析了现有信息网络技术面临的挑战,提炼出网络与计算融合发展的主要趋势;论证形成我国自主创新的智联计算网络核心架构,精准阐明智联计算网络的发展目标与预期效益;深入剖析智联计算网络技术发展路线,涵盖多样化协议支撑、“网 ‒ 算 ‒ 存”一体化控制、服务功能智能编排、内生安全构造等智联计算网络关键技术布局,智慧园区网络场景、垂直行业网络场景、数据中心网络场景等智联计算网络示范应用。研究建议,深入创新智联计算网络技术体系,广泛部署智联计算网络示范应用,加速推动智联计算网络产品落地,以此促进智联计算网络技术的演进与应用。
关键词
智联计算网络 ; 多样化协议 ; “网 ‒ 算 ‒ 存”一体化 ; 服务功能智能编排 ; 内生安全
参考文献
[ 1 ] Chen N, Qiu T, Zhao L P, et al. Edge intelligent networking optimization for Internet of Things in smart city [J]. IEEE Wireless Communications, 2021, 28(2): 26‒31.
[ 2 ]
张冬杨. 2019年物联网发展趋势 [J]. 物联网技术, 2019, 9(2): 5‒6.
Zhang D Y. Development trend of Internet of Things in 2019 [J]. Internet of Things Technologies, 2019, 9(2): 5‒6.
[ 3 ]
推进信息网络等新型基础设施建设 推动产业和消费升级 [J]. 国家电网, 2020 (5): 10.
Promote the construction of new infrastructure such as information network and promote the upgrading of industry and consumption [J]. State Grid, 2020 (5): 10.
[ 4 ]
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 on the development of novel network technology [J]. Scientia Sinica Informationis, 2018, 48(8): 1102‒1111.
[ 5 ]
李军飞, 胡宇翔, 伊鹏, 等. 面向2035的多模态智慧网络技术发展路线图 [J]. 中国工程科学, 2020, 22(3): 141‒147.
Li J F, Hu Y X, Yi P, et al. Development roadmap of polymorphic intelligence network technology toward 2035 [J]. Strategic Study of CAE, 2020, 22(3): 141‒147.
[ 6 ] Stengel M, Stapelberg S, Sus O, et al. Cloud_cci Advanced Very High Resolution Radiometer post meridiem (AVHRR-PM) dataset version 3: 35-year climatology of global cloud and radiation properties [J]. Earth System Science Data, 2020, 12(1): 41‒60.
[ 7 ] Yang D, Mahmood A, Ali Hassan S, et al. Guest editorial: Industrial IoT and sensor networks in 5G-and-beyond wireless communication [J]. IEEE Transactions on Industrial Informatics, 2022, 18(6): 4118‒4121.
[ 8 ] Zulkifley M A, Behjati M, Nordin R, et al. Mobile network performance and technical feasibility of LTE-powered unmanned aerial vehicle [J]. Sensors, 2021, 21(8): 2848.
[ 9 ]
王永佩. 物联网技术在远程医疗中的应用分析 [J]. 通讯世界, 2022, 29(6): 121‒123.
Wang Y P. Application analysis of Internet of Things technology in telemedicine [J]. Telecom World, 2022, 29(6): 121‒123.
[10]
李丹, 胡宇翔, 邬江兴. 新型网络技术创新发展战略研究 [J]. 中国工程科学, 2021, 23(2): 15‒21.
Li D, Hu Y X, Wu J X. Innovative development strategy of new network technologies [J]. Strategic Study of CAE, 2021, 23(2): 15‒21.
[11]
邬江兴. 论网络空间内生安全问题及对策 [J]. 中国科学: 信息科学, 2022, 52(10): 1929‒1937.
Wu J X. Cyberspace´s endogenous safety and security problem and the countermeasures [J]. Scientia Sinica Informationis, 2022, 52(10): 1929‒1937.
[12]
施巍松, 孙辉, 曹杰, 等. 边缘计算: 万物互联时代新型计算模型 [J]. 计算机研究与发展, 2017, 54(5): 907‒924.
Shi W S, Sun H, Cao J, et al. Edge computing—An emerging computing model for the Internet of everything era [J]. Journal of Computer Research and Development, 2017, 54(5): 907‒924.
[13] Satyanarayanan M. The emergence of edge computing [J]. Computer, 2017, 50(1): 30‒39.
[14] Shen M. DARPA dispersed computing program seeks new military network algorithms [J]. Defense Point of View, 2017(9): 63.
[15]
徐婧. 美白宫发布《开拓未来的先进计算生态系统战略计划》 [J]. 世界科技研究与发展, 2021, 43(1): 63.
Xu J. The white house released the strategic plan for exploiting the advanced computing ecosystem in the future [J]. World Sci-Tech R & D, 2021, 43(1): 63.
[16]
颜伟豪. 对欧洲云计划的基础架构研究 [J]. 网络安全和信息化, 2023 (7): 11‒14.
Yan W H. Research on the infrastructure of European cloud plan [J]. Cybersecurity & Informatization, 2023 (7): 11‒14.
[17]
王晓菲. 《数字罗盘2030》指明欧洲未来十年数字化转型之路 [J]. 科技中国, 2021 (6): 96‒99.
Wang X F. Digital Compass 2030 points out the road of digital transformation in Europe in the next decade [J]. Scitech in China, 2021 (6): 96‒99.
[18]
董咚. "东数西算" 将带来哪些改变 [J]. 科学之友, 2022 (4): 10‒12.
Dong D. What changes will be brought about by "counting east and calculating west" [J]. Friend of Science Amateurs, 2022 (4): 10‒12.
[19]
张帅, 刘莹, 庞冉, 等. 中国联通算力网络研究与实践 [J]. 通信世界, 2022 (19): 27‒30.
Zhang S, Liu Y, Pang R, et al. Research and practice of China unicom computing network [J]. Communications World, 2022 (19): 27‒30.
[20] Jarwan A, Sabbah A, Ibnkahla M. Information-oriented traffic management for energy-efficient and loss-resilient IoT systems [J]. IEEE Internet of Things Journal, 2022, 9(10): 7388‒7403.
[21] Mai T L, Yao H P, Guo S, et al. In-network computing powered mobile edge: Toward high performance industrial IoT [J]. IEEE Network, 2021, 35(1): 289‒295.
[22]
刘景磊, 陈燕军, 牛洁, 等. 中国移动算力网络开源工作实践 [J]. 通信世界, 2022 (23): 30‒32.
Liu J L, Chen Y J, Niu J, et al. Open source work practice of China mobile computing network [J]. Communications World, 2022 (23): 30‒32.
[23]
戴中华. 算力网络关键技术研究和实践 [J]. 中国新通信, 2022, 24(12): 35‒37.
Dai Z H. Research and practice on key technologies of computing network [J]. China New Telecommunications, 2022, 24(12): 35‒37.
[24]
邬江兴. 论网络技术体制发展范式的变革——网络之网络 [J]. 电信科学, 2022, 38(6): 3‒12.
Wu J X. Revolution of the development paradigm of network technology system—Network of networks [J]. Telecommunications Science, 2022, 38(6): 3‒12.
[25]
韩羽. 打造安全可靠的新型数字基础设施 赋能经济社会各领域绿色低碳发展——工信部发布《"十四五" 信息通信行业发展规划》 [J]. 中国科技产业, 2021 (12): 10‒11.
Han Y. Create a safe and reliable new digital infrastructure and empower green and low-carbon development in all fields of economy and society—The Ministry of Industry and Information Technology issued the Development plan of information and communication industry in the 14th Five-Year Plan [J]. Science & Technology Industry of China, 2021 (12): 10‒11.
[26] Hu Y X, Li D, Sun P H, et al. Polymorphic smart network: An open, flexible and universal architecture for future heterogeneous networks [J]. IEEE Transactions on Network Science and Engineering, 2020, 7(4): 2515‒2525.
[27]
张宏科, 于成晓, 权伟, 等. 融算网络体系基础研究 [J]. 电子学报, 2022, 50(12): 2928‒2934.
Zhang H K, Yu C X, Quan W, et al. Fundamental research on computing integration networking [J]. Acta Electronica Sinica, 2022, 50(12): 2928‒2934.
[28] Barriga J J, Sulca J, León J L, et al. Smart parking: A literature review from the technological perspective [J]. Applied Sciences, 2019, 9(21): 4569.
[29] Fang X, Misra S, Xue G L, et al. Smart grid—The new and improved power grid: A survey [J]. IEEE Communications Surveys & Tutorials, 2012, 14(4): 944‒980.
[30] Cho M, Finkler U, Serrano M, et al. BlueConnect: Decomposing all-reduce for deep learning on heterogeneous network hierarchy [J]. IBM Journal of Research and Development, 2019, 63(6): 1‒11.
[31] Verbraeken J, Wolting M, Katzy J, et al. A survey on distributed machine learning [J]. ACM Computing Surveys, 2020, 53(2): 1‒33.