fgOTN应用于智算中心互联研究综述

史庆娜; 王佳雪; 李诗语; 蔡梦茹; 刘晓东; 尹珊; 黄善国

doi:10.11959/j.issn.1000-0801.2025022

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fgOTN应用于智算中心互联研究综述

专题：细颗粒光传送网 | 更新时间：2025-02-07

- fgOTN应用于智算中心互联研究综述
- Review of the application of fgOTN in the interconnection of artificial intelligence data centers
- 电信科学 2025年41卷第1期页码：26-41
- 作者机构：
  
  1.北京邮电大学信息光子学与光通信全国重点实验室，北京 100876
  2.北京邮电大学电子工程学院，北京 100876
- 作者简介：
  
  [ "史庆娜（2002- ），女，北京邮电大学电子工程学院硕士生，主要研究方向为光网络的路由与资源分配、光网络资源优化。" ]
  [ "王佳雪（2001- ），女，北京邮电大学电子工程学院硕士生，主要研究方向为光网络智能资源优化与机器学习。" ]
  [ "李诗语（2002- ），女，北京邮电大学电子工程学院硕士生，主要研究方向为光网络与机器学习。" ]
  蔡梦茹（2000- ），女，北京邮电大学电子工程学院硕士生，主要研究方向为边缘计算任务卸载、光网络资源优化和预测等。
  刘晓东（1999- ），男，北京邮电大学电子工程学院博士生，主要研究方向为光网络的路由与资源分配、边缘计算网络的卸载以及机器学习。
  尹珊（1987- ），女，北京邮电大学信息光子学与光通信全国重点实验室副教授，主要研究方向为光网络智能资源优化、机器学习和优化方法等。yinshan@bupt.edu.cn
  黄善国（1978- ），男，北京邮电大学教授、博士生导师，北京邮电大学信息光子学与光通信全国重点实验室主任，北京邮电大学副校长，国家杰出青年科学基金、优秀青年科学基金获得者，中国电子学会常务理事，中国光学工程学会光通信与信息网络专委会副主任委员，目前主要研究方向为多维光交换与光网络理论与技术，包括大规模智能光交换与数据光网络、传输网规划与优化、地空天空间光交换与组网等。
- 基金信息：
  
  国家杰出青年科学基金资助项目(62125103);国家自然科学基金面上项目(62371061);北京市自然科学基金资助项目(4232008)
- DOI：10.11959/j.issn.1000-0801.2025022
  中图分类号： TN914
- 收稿日期：2024-11-30，
  
  修回日期：2024-12-31，
  
  纸质出版日期：2025-01-20
- 稿件说明：
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史庆娜,王佳雪,李诗语等.fgOTN应用于智算中心互联研究综述[J].电信科学,2025,41(01):26-41.

SHI Qingna,WANG Jiaxue,LI Shiyu,et al.Review of the application of fgOTN in the interconnection of artificial intelligence data centers[J].Telecommunications Science,2025,41(01):26-41.
史庆娜,王佳雪,李诗语等.fgOTN应用于智算中心互联研究综述[J].电信科学,2025,41(01):26-41. DOI： 10.11959/j.issn.1000-0801.2025022.

SHI Qingna,WANG Jiaxue,LI Shiyu,et al.Review of the application of fgOTN in the interconnection of artificial intelligence data centers[J].Telecommunications Science,2025,41(01):26-41. DOI： 10.11959/j.issn.1000-0801.2025022.

摘要

随着智算中心数据流量和业务需求的快速增长，高效、灵活的网络解决方案成为关键。细颗粒光传送网（fine grain optical transport network，fgOTN）作为同步数字体系（synchronous digital hierarchy，SDH）技术的接续与光传送网（optical transport network，OTN）技术的扩展，被应用于智算中心互联，以满足其灵活调度、高效传输、严格安全隔离和低时延等多重需求。首先，介绍了fgOTN的基本概念、技术架构及应用场景，随后，阐述了智算中心的相关概念、体系架构、关键技术及应用场景。在此基础上，重点探讨了fgOTN在智算中心互联中的应用，旨在促进智算中心间数据传输的高效、可靠。最后，论述了fgOTN应用于智算中心互联的研究方向和发展趋势。

Abstract

With the rapid growth of data traffic and service requirements in artificial intelligence data centers

efficient and flexible network solutions have become critical. The fine grain optical transport network (fgOTN)

which serves as a continuation of synchronous digital hierarchy (SDH) technology and an extension of optical transport network (OTN) technology

is applied in the interconnection of artificial intelligence data centers to meet their multiple requirements for flexible scheduling

efficient transmission

strict security isolation

and low latency. Firstly

the basic concepts

technical architecture

and application scenarios of fgOTN were introduced. Subsequently

the related concepts

architectures

key technologies

and application scenarios of artificial intelligence data centers were elaborated. Based on these foundations

the application of fgOTN in interconnection of artificial intelligence data centers was discussed in detail

aiming to promote efficient and reliable data transmission between artificial intelligence data centers. Finally

the research directions and development trends were discussed.

关键词

Keywords

references

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