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时间敏感网络中确定性传输技术综述
引用本文:李宗辉,杨思琪,喻敬海,邓仰东,万海. 时间敏感网络中确定性传输技术综述[J]. 软件学报, 2022, 33(11): 4334-4355
作者姓名:李宗辉  杨思琪  喻敬海  邓仰东  万海
作者单位:北京交通大学 计算机与信息技术学院, 北京 100044;中兴通讯股份有限公司, 江苏 南京 210012;清华大学 软件学院, 北京 100084
基金项目:国家自然科学基金(62002013, 61527812, U19A2062); 中国博士后科学基金(2019M660439, 2020T130049); 广东省重点领域研发计划(2020B010164001); 中兴通讯产学研合作基金
摘    要:时间敏感网络是工业互联网基础设施转型升级的重要研究方向,确定性传输技术是时间敏感网络面向工业控制支撑确定性实时传输需求的核心关键技术,主要包括控制面的时间触发调度技术、转发面的混合传输技术以及确定性时延分析技术.调研了近年来时间敏感网络中确定性传输技术的研究现状并进行了系统地梳理和总结,首先介绍了时间敏感网络不同种类业务流的流量模型;然后基于该流量模型,介绍了控制面的时间触发调度模型、研究现状及其挑战,介绍了转发面时间敏感网络交换机的体系结构、多业务流混合传输策略以及当前方案的不足与改进方向;接着,对整个时间敏感网络的时延模型进行建模分析,介绍基于网络微积分的确定性时延分析技术、研究现状以及可能的改进方向;最后,总结时间敏感网络确定性传输技术所面临的挑战以及未来的研究展望.

关 键 词:时间敏感网络  确定性传输技术  时间触发的调度  混合传输  网络微积分
收稿时间:2021-06-03
修稿时间:2021-09-02

State-of-the-art Survey on Deterministic Transmission Technologies in Time-sensitive Networking
LI Zong-Hui,YANG Si-Qi,YU Jing-Hai,DENG Yang-Dong,WAN Hai. State-of-the-art Survey on Deterministic Transmission Technologies in Time-sensitive Networking[J]. Journal of Software, 2022, 33(11): 4334-4355
Authors:LI Zong-Hui  YANG Si-Qi  YU Jing-Hai  DENG Yang-Dong  WAN Hai
Affiliation:School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China;ZTE Corporation, Nanjing 210012, China;School of Software, Tsinghua University, Beijing 100084, China
Abstract:Time-sensitive networking (TSN) is an important research area to update infrastructure of industrial internet of things. Deterministic transmission in TSN is the key technology, mainly including time-triggered scheduling in control plane, mixed-criticality transmission, and deterministic delay analysis, to support deterministic real-time transmission requirements for industrial control. This study surveys the related works on deterministic transmission technologies of TSN in recent years and systematically cards and summarizes them. First, this study presents the different transmission models of different kinds of flows in TSN. Second, based on these models, on the one hand, this study presents time-triggered scheduling model and its research status and existing challenges on control plane. On the other hand, this paper presents the architecture of TSN switches, the strategies of mixed-criticality transmission and their disadvantages and the corresponding improvement approaches. Third, this study models the transmission delay of the whole TSN based on netowork calculus and presents the delay analysis methods, their research status and possible improvement directions. Finally, this study summarizes the challenges and research prospects of deterministic transmission technologies in TSN.
Keywords:time-sensitive networking (TSN)  deterministic transmission technologies  time-triggered scheduling  mixed-criticality transmission  network calculus
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