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《中国工程科学》 >> 2020年 第22卷 第3期 doi: 10.15302/J-SSCAE-2019.11.010

面向 2035 的多模态智慧网络技术发展路线图

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

资助项目 :中国工程院咨询项目“面向 2035 的‘互联网 +’时代的网络智慧管理战略研究”(2016-ZCQ-04) 收稿日期: 2019-05-09 修回日期: 2019-08-12 发布日期: 2020-05-27

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摘要

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。

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参考文献

[ 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. 链接1

[ 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. 链接1

[ 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. 链接1

[ 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. 链接1

[ 5 ] Rossini G, Rossi D. Evaluating CCN multi-path interest forwarding strategies [J]. Computer Communications, 2013, 36(7): 771–778. 链接1

[ 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. 链接1

[ 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. 链接1

[ 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. 链接1

[ 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. 链接1

[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. 链接1

[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. 链接1

[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.
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. Chinese. 链接1

[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.
Wu J X. Thoughts on the development of novel network technology [J]. Scientia Sinica (Informationis), 2018, 48(8):1102– 1111. Chinese. 链接1

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