基于随流检测的确定性网络混合时敏流量调度技术研究

蔡岳平; 王圣恺; 陈晨; 韩笑

doi:10.11959/j.issn.2096-3750.2025.00461

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基于随流检测的确定性网络混合时敏流量调度技术研究

理论与技术 | 更新时间：2025-10-21

- 基于随流检测的确定性网络混合时敏流量调度技术研究
- Research on hybrid scheduling of time-sensitive flow in deterministic networking based on in-situ flow information telemetry
- 物联网学报 2025年9卷第3期页码：60-72
- 作者机构：
  
  重庆大学微电子与通信工程学院，重庆 400030
- 作者简介：
  
  [ "蔡岳平（1980‒ ），男，博士，重庆大学微电子与通信工程学院副教授，主要研究方向为工业互联网、确定性网络、5G/6G网络、数据中心网络、算力网络等。" ]
  [ "王圣恺（1999‒ ），男，重庆大学微电子与通信工程学院硕士生，主要研究方向为时间敏感网络。" ]
  [ "陈晨（1988‒ ），男，博士，重庆大学微电子与通信工程学院研究员，主要研究方向为面向6G和物联网的智能无线光通信技术。" ]
  [ "韩笑（2001‒ ），男，重庆大学微电子与通信工程学院硕士生，主要研究方向为时间敏感网络。" ]
- 基金信息：
  
  四川省国际科技创新合作项目(2022YFH0022)
- DOI：10.11959/j.issn.2096-3750.2025.00461
  中图分类号： TN915.08
- 收稿：2024-11-12，
  
  修回：2025-06-21，
  
  纸质出版：2025-09-10
- 稿件说明：
移动端阅览
蔡岳平,王圣恺,陈晨等.基于随流检测的确定性网络混合时敏流量调度技术研究[J].物联网学报,2025,09(03):60-72.

CAI Yueping,WANG Shengkai,CHEN Chen,et al.Research on hybrid scheduling of time-sensitive flow in deterministic networking based on in-situ flow information telemetry[J].Chinese Journal on Internet of Things,2025,09(03):60-72.
蔡岳平,王圣恺,陈晨等.基于随流检测的确定性网络混合时敏流量调度技术研究[J].物联网学报,2025,09(03):60-72. DOI： 10.11959/j.issn.2096-3750.2025.00461.

CAI Yueping,WANG Shengkai,CHEN Chen,et al.Research on hybrid scheduling of time-sensitive flow in deterministic networking based on in-situ flow information telemetry[J].Chinese Journal on Internet of Things,2025,09(03):60-72. DOI： 10.11959/j.issn.2096-3750.2025.00461.

摘要

工业4.0和智能工厂的发展对网络传输的确定性低时延和低抖动提出了更高的要求。为解决大规模确定性网络中事件触发流和时间触发流混合传输的有界时延保证问题，提出了一种面向混合时敏流量的基于随流检测的最早截止时间优先调度（IFEDS

in-situ flow earliest deadline scheduling）技术。利用随流检测技术实现网络测量和数据包的染色，设计了一种基于截止时间的数据包概率染色算法和一种基于染色的半抢占式最早截止时间优先调度算法。最后使用OMNeT++仿真验证了IFEDS方案的有效性。仿真结果表明，在高负载情况下，IFEDS的平均端到端时延比Deadline-TSN降低了6.84%。在事件触发流占比为40%的情况下，IFEDS比Deadline-TSN的丢包率减少了0.37%。

Abstract

The development of Industry 4.0 and smart factories places higher demands on deterministic low latency and low jitter for network transmission. To address the issue of hybrid transmission of event-triggered flows and time-triggered flows in large-scale deterministic network

an in-situ flow earliest deadline first scheduling (IFEDS) based on information telemetry for hybrid time-sensitive flows was proposed. The networking telemetry and packet coloring were achived based on the in-situ flow information telemetry. A deadline-based probabilistic packet coloring algorithm and a coloring-based semi-preemptive earliest deadline first scheduling algorithm were designed. Simulation results based on the OMNeT++ show that the average end-to-end latency of IFEDS under high load is 6.84% lower than Deadline-TSN

and the packet loss rate is reduced by 0.37% compared with Deadline-TSN when the event-triggered flow ratio is 40%.

关键词

Keywords

references

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一种应用于大规模时间敏感网络的混合流量调度机制

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