Research on routing scheduling technology of computing power network

Ran PANG; Xinxin YI; Liang XIN; Chang CAO; Xiongyan TANG

doi:10.11959/j.issn.1000-0801.2023163

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Research on routing scheduling technology of computing power network

Topic: Computing Power Network | 更新时间：2024-06-05

- Research on routing scheduling technology of computing power network
- Telecommunications Science Vol. 39, Issue 8, Pages: 149-156(2023)
- 作者机构：
  
  1. 中国联合网络通信有限公司研究院，北京 100048
  2. 下一代互联网宽带业务应用国家工程研究中心，北京 100048
  3. 联通智网科技股份有限公司，北京 100037
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2023163
  CLC： TN919
- Published Online：2023-08，
  
  Published：20 August 2023
- 稿件说明：
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Ran PANG, Xinxin YI, Liang XIN, et al. Research on routing scheduling technology of computing power network[J]. Telecommunications science, 2023, 39(8): 149-156.
DOI：

Ran PANG, Xinxin YI, Liang XIN, et al. Research on routing scheduling technology of computing power network[J]. Telecommunications science, 2023, 39(8): 149-156. DOI： 10.11959/j.issn.1000-0801.2023163.

摘要

面向数字经济高质量发展需求，算力网络的研究和发展不断加速。如何实现算力与网络资源的一体化调度是算力网络研究的关键问题，介绍了算力网络演进进展，分析了算力网络资源感知和路由调度技术，提出了算力网络混合式路由调度解决方案，实现按需灵活、快速路由、易于实现的算网一体化能力。介绍了混合式路由调度方案在车联网远程驾驶场景的实现流程，在车辆移动状态下支持提供算网一体、快速调优的差异化服务。

Abstract

With the needs of high-quality development of the digital economy

the research on computing power network is accelerating.How to realize the integrated scheduling of computing resources and network resources becomes the primary challenge for computing power network.The evolution of computing power network was introduced

the resource awaring and routing scheduling technology of computing power network were analyzed

and a hybrid routing scheduling solution for computing power network was proposed to realize the ability of flexible on-demand

fast routing and easy implementation.The implementation process of the hybrid routing scheduling solution in the remote driving scenario of the Internet of vehicles was introduced

which supported the provision of differentiated services integrating computing and networking and fast tuning when the vehicle was moving.

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references

唐雄燕 , 曹畅 , 李建飞 , 等 . 算力网络前沿报告 [R ] . 2020 .

TANG X Y , CAO C , LI J F , et al . Cutting edge report of computing power network [R ] . 2020 .

中国联通 . 算力网络白皮书 [R ] . 2019 .

China Unicom . White paper of computing power network [R ] . 2019 .

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 technicalproblems in the development of computing power network [J ] . Telecommunications Science , 2022 , 38 ( 6 ): 62 - 70 .

ITU-T . Computing power network-framework and architecture:Y.2501 [S ] . 2021 .

ITU-T . Signalling requirements for service deployment in computing power network:Q.4140 [S ] . 2023 .

IETF . Computing-aaware traffic steering(cats) [EB ] . 2023 .

中国通信标准化协会 . 算力网络总体技术要求 [S ] . 2021 .

CCSA . Architecture and technical requirements of computing-aware networking [S ] . 2021 .

ALQARNI M M , CHERIF A , ALKAYAL E . A survey of computational offloading in cloud/edge-based architectures:strategies,optimization models and challenges [J ] . KSII Transactions on Internet and Information Systems , 2021 , 15 ( 3 ): 008 .

JOŠILO S , DÁN G . Computation offloading scheduling for periodic tasks in mobile edge computing [J ] . IEEE/ACM Transactions on Networking , 2020 , 28 ( 2 ): 667 - 680 .

TANG L , HE S B . Multi-user computation offloading in mobile edge computing:abehavioral perspective [J ] . IEEE Network , 2018 , 32 ( 1 ): 48 - 53 .

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