可编程网络数据平面技术进展

张昕怡; 潘恒; 谢高岗

doi:10.11959/j.issn.1000-0801.2022131

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可编程网络数据平面技术进展

专题：新型网络技术 | 更新时间：2024-06-05

- 可编程网络数据平面技术进展
- Progress in programmable network data plane
- 电信科学 2022年38卷第6期页码：42-50
- 作者机构：
  
  1. 中国科学院计算机网络信息中心，北京 100190
  2. 中国科学院计算技术研究所，北京 100190
  3. 中国科学院大学，北京 100049
- 作者简介：
  
  [ "张昕怡（1992- ），女，博士，中国科学院计算机网络信息中心在站博士后，主要研究方向为计算机网络系统结构、高性能网络数据平面" ]
  [ "潘恒（1990- ），男，博士，中国科学院计算技术研究所副研究员，主要研究方向为可编程网络与系统" ]
  [ "谢高岗（1974- ），男，博士，中国科学院计算机网络信息中心研究员，中国科学院大学教授、博士生导师，主要研究方向为计算机网络体系结构与系统" ]
- 基金信息：
  
  国家重点研发计划基金资助项目;The National Key Research and Development Program of China(2019YFB1802800)
- DOI：10.11959/j.issn.1000-0801.2022131
  中图分类号： TP393
- 网络出版日期：2022-06，
  
  纸质出版日期：2022-06-20
- 稿件说明：
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张昕怡, 潘恒, 谢高岗. 可编程网络数据平面技术进展[J]. 电信科学, 2022,38(6):42-50.

Xinyi ZHANG, Heng PAN, Gaogang XIE. Progress in programmable network data plane[J]. Telecommunications science, 2022, 38(6): 42-50.
张昕怡, 潘恒, 谢高岗. 可编程网络数据平面技术进展[J]. 电信科学, 2022,38(6):42-50. DOI： 10.11959/j.issn.1000-0801.2022131.

Xinyi ZHANG, Heng PAN, Gaogang XIE. Progress in programmable network data plane[J]. Telecommunications science, 2022, 38(6): 42-50. DOI： 10.11959/j.issn.1000-0801.2022131.

摘要

网络数据平面执行数据包处理转发，是网络性能的决定性因素之一。大带宽、低时延、可持续演进的网络基础设施需要构建高效可编程的网络数据平面。首先，介绍数据包处理转发模型，并以此为基础概述网络数据平面在性能与可编程性面临的关键挑战。然后，从数据包查找算法理论与软/硬件协同实现机制出发，详细论述其基本思路及关键核心技术进展以应对上述关键挑战。最后，探讨高效可编程数据平面的未来发展趋势与技术演进路线。

Abstract

Network data plane performs packet processing and forwarding

which is one of the core factors determining the network performance.High bandwidth

low latency and rapid evolution of the network infrastructure require building an efficient and programmable network data plane.The packet processing and forwarding model was firstly introduced

and on this basis

the challenges of the network data plane in the performance and programmability were outlined.Then the basic ideas and core technology progress were elaborated to deal with the above challenges by analyzing the theory of packet processing algorithms and hardware-software codesign implementations.Finally

the trend and technical route of constructing an efficient programmable data plane were discussed.

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Keywords

references

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