基于网络演算的时间敏感网络时延上界分析模型研究  

Research on a Latency Upper-bound Analysis Model Based on Network Calculus in Time-sensitive Networking

作　　者：胡文学 孙雷 王健全 朱渊 毕紫航 HU Wen-Xue;SUN Lei;WANG Jian-Quan;ZHU Yuan;BI Zi-Hang(School of Automation and Electrical Engineering,University of Science and Technology Beijing,Beijing 100083;Institute of Industrial Internet,University of Science and Technology Beijing,Beijing 100083;Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education,School of Automation and Electrical Engineering,University of Science and Technology Beijing,Beijing 100083)

机构地区：[1]北京科技大学自动化学院,北京100083 [2]北京科技大学工业互联网研究院,北京100083 [3]北京科技大学自动化学院工业过程知识自动化教育部重点实验室,北京100083

出　　处：《自动化学报》2023年第11期2297-2310,共14页Acta Automatica Sinica

基　　金：国家重点研发计划基金(2020YFB1708800);广东省重点领域研发计划基金(2020B0101130007);中央高校基本科研业务费专项资金(FRF-BD-19-002A)资助。

摘　　要：时间敏感网络(Time-sensitive networking,TSN)作为一种新兴工业通信技术,能够为工业控制业务提供高可靠及确定性时延保障.针对时间敏感网络在工业场景中广泛采用的时间感知整形(Time-aware shaper,TAS)机制,提出一种基于网络演算的时延上界分析模型,对多节点组网下端到端时延上界进行定量分析,用以评估门控(Gate control list,GCL)设置是否满足业务服务质量(Quality of service,QoS)需求,有助于简化多节点组网场景下门控设置复杂度.模型仿真部分对影响端到端时延的主要因素进行了对比分析,并通过OMNeT++实时仿真验证了所提出时延上界分析模型的有效性.As an emerging technology of industrial communication,time-sensitive networking(TSN)can provide high reliability and deterministic latency guarantee for industrial control traffics.This article proposes a latency upper-bound analysis model based on network calculus for time-aware shaper(TAS)widely used in TSN.The proposed model gives an explicit analysis for upper-bound of the end-to-end latency under multiple TSN-node networking scenarios,which can be used to evaluate the quality of service(QoS)-guarantee performance of the current gate control list(GCL)setting,as well as to help to simplify the complexity of GCL setting.In the model simulation part,the main factors affecting the end-to-end latency are compared and analyzed,and the validity of the latency upper-bound given by the proposed model is verified with OMNeT++.

关 键 词：时间敏感网络 网络演算 时延上界分析模型 门控设置 

分 类 号：TP393.11[自动化与计算机技术—计算机应用技术]