TSN 网络调度--挑战与方法

Network Pub Date : 2023-12-16 DOI:10.3390/network3040026
Hamza Chahed, Andreas Kassler
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引用次数: 0

摘要

时间敏感网络(TSN)是一套以太网标准,旨在提高融合网络数据包传输的确定性。其主要目标是为要求苛刻的应用(如实时音频/视频流、汽车和工业控制)提供可预测的低传输延迟和高可用性机制。为了提供所需的保证,TSN 集成了不同的流量整形机制,包括 802.1Qbv、802.1Qch 和 802.1Qcr,允许同一网络中具有不同优先级的不同流量类别共存。要达到所需的服务质量(QoS)水平,需要对整形机制进行适当的选择和配置,但这很困难,因为在潜在的终端系统引起的抖动情况下,共存流的要求各不相同。本文讨论了 TSN 流量整形机制对不同流量类型的适用性,分析了 TSN 网络配置问题(即为网络中的所有 TSN 网元找到最佳路径和整形器配置,以提供所需的 QoS),讨论了时间感知调度的目标、限制和挑战,并详细阐述了全网调度和调度算法的评估标准,从而为不同方法之间的比较提供了共同基础。最后,我们分析了调度任务的演变,找出了不足之处,并提出了未来的研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
TSN Network Scheduling—Challenges and Approaches
Time-Sensitive Networking (TSN) is a set of Ethernet standards aimed to improve determinism in packet delivery for converged networks. The main goal is to provide mechanisms that enable low and predictable transmission latency and high availability for demanding applications such as real-time audio/video streaming, automotive, and industrial control. To provide the required guarantees, TSN integrates different traffic shaping mechanisms including 802.1Qbv, 802.1Qch, and 802.1Qcr, allowing for the coexistence of different traffic classes with different priorities on the same network. Achieving the required quality of service (QoS) level needs proper selection and configuration of shaping mechanisms, which is difficult due to the diversity in the requirements of the coexisting streams under the presence of potential end-system-induced jitter. This paper discusses the suitability of the TSN traffic shaping mechanisms for the different traffic types, analyzes the TSN network configuration problem, i.e., finds the optimal path and shaper configurations for all TSN elements in the network to provide the required QoS, discusses the goals, constraints, and challenges of time-aware scheduling, and elaborates on the evaluation criteria of both the network-wide schedules and the scheduling algorithms that derive the configurations to present a common ground for comparison between the different approaches. Finally, we analyze the evolution of the scheduling task, identify shortcomings, and suggest future research directions.
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