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PDF(522 KB)
PDF(522 KB)
面向 2035 的多模态智慧网络技术发展路线图
Development Roadmap of Polymorphic Intelligence Network Technology Toward 2035
当前互联网的基础架构与技术体系，在智慧化、多元化、个性化、高鲁棒、高效能等方面面临重大挑战，亟需变革网络基础架构并构建全维可定义的多模态智慧网络。本文在研判国内外网络技术领域发展态势的基础上，提出了多模态智慧网络技术的发展目标并凝练形成关键前沿技术预见清单，据此构建了面向2035 年的我国多模态智慧网络技术发展路线图。研究表明，应前瞻布局网络架构、寻址与路由、网络全维可定义、网络智慧化、网络鲁棒控制等关键技术研发，以核心芯片、产品、系统等为核心内容来引导相关产业发展；可重点部署面向信息基础设施、垂直行业网络、天地一体化、人机物泛在互联的示范工程建设，以推动智慧网络业务落地实施。此外，从政策保障、科研平台支撑与联合攻关、扩大国际交流、人才培育与引进等方面提出了我国多模态智慧网络技术的保障措施建议。
The current infrastructure and technology system of the Internet are facing major challenges in terms of intelligence, diversification, personalization, robustness, and efficiency. It is urgent to change the network infrastructure and build a polymorphic definable and intelligent network. This paper studies and judges the development trend of network technologies in China and abroad, proposes the development goal of polymorphic definable and intelligent network, and extracts a list of key cutting-edge technologies for foresight. Based on these, the development roadmap of polymorphic definable and intelligent network in China for 2035 is constructed. China should prospect the research and development of key technologies including network architecture, addressing and routing, full-dimensional definability, network intelligence, and network robust control, and guide the development of relevant industries through the key contents including core chips, products, and systems. Demonstration projects can be deployed to promote the implementation of intelligent network business, including projects concerning information infrastructure, vertical industry network, space–earth integrated network, ubiquitous interconnection of human and things. In addition, this paper proposes some suggestions on the guarantee measures of polymorphic definable and intelligent network in China from the aspects of policy guarantee, scientific research platform support and joint research, international communication expansion, and human resource cultivation and employment.
智慧网络 / 多模态 / 体系架构 / 全维可定义 / 鲁棒控制 / 技术路线图
intelligence network / polymorphic / network architecture / full-dimension definable / robust control / development roadmap
| [1] |
Liang K, Zhao L, Chu X, et al. An integrated architecture for software defined and virtualized radio access networks with fog computing [J]. IEEE Network, 2017, 31(1): 80–87.
|
| [2] |
Kaiwartya O, Abdullah A H, Cao Y, et al. Internet of vehicles: Motivation, layered architecture, network model, challenges, and future aspects [J]. IEEE Access, 2016, 4: 5356–5373.
|
| [3] |
Naranjo P G V, Pooranian Z, Shojafar M, et al. FOCAN: A fogsupported smart city network architecture for management of applications in the Internet of everything environments [J]. Journal of Parallel and Distributed Computing, 2019, 132: 274–283.
|
| [4] |
Akshatha N, Rai K H J, Haritha M K, et al. Tactile Internet: Next Generation IoT [C]. Coimbatore: 2019 Third International Conference on Inventive Systems and Control (ICISC), 2019.
|
| [5] |
Rossini G, Rossi D. Evaluating CCN multi-path interest forwarding strategies [J]. Computer Communications, 2013, 36(7): 771–778.
|
| [6] |
Perry J, Ousterhout A, Balakrishnan H, et al. Fastpass: A centralized “zero-queue” datacenter network [J]. ACM SIGCOMM Computer Communication Review, 2014, 44(4): 307–318.
|
| [7] |
Zorzi M, Zanella A, Testolin A, et al. Cognition-based networks: A new perspective on network optimization using learning and distributed intelligence [J]. IEEE Access, 2015, 3: 1512–1530.
|
| [8] |
Xiao S H, He D D, Gong Z B. Deep-Q: Traffic-driven QoS inference using deep generative network [C]. New York: Proceedings of the 2018 Workshop on Network Meets AI & ML, 2018.
|
| [9] |
Wang L Y, Jajodia S, Singhal A, et al. k-zero day safety: A network security metric for measuring the risk of unknown vulnerabilities [J]. IEEE Transactions on Dependable and Secure Computing, 2014, 11(1): 30–44.
|
| [10] |
Suthaharan S. Big data classification: Problems and challenges in network intrusion prediction with machine learning [J]. ACM SIGMETRICS Performance Evaluation Review, 2014, 41(4): 70–73.
|
| [11] |
Shahriar N, Ahmed R, Chowdhury S R, et al. Generalized recovery from node failure in virtual network embedding [J]. IEEE Transactions on Network and Service Management, 2017, 14(2): 261–274.
|
| [12] |
新华网. 我国将加快构建高速、移动、安全、泛在的新一代信息 基础设施 [EB/OL]. (2019-05-17) [2020-08-10]. http://www.xinhuanet.com/2019-05/17/c_1124510041.htm. Xinhua Net. China will speed up the construction of a new generation of high-speed, mobile, secure and ubiquitous information infrastructure [EB/OL]. (2019-05-17) [2020-08-10]. http://www.xinhuanet.com/2019-05/17/c_1124510041.htm.
|
| [13] |
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.
|
/
| 〈 |
|
〉 |
