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arXiv 2408.01330cs.NI
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TSN转发机制对尽力而为流量的影响研究

On the Effect of TSN Forwarding Mechanisms on Best-Effort Traffic

Lisa Maile, Dominik Voitlein, Anna Arestova, Abdullah S. Alshra'a, Kai-Steffen J. Hielscher, Reinhard German

AI总结:

本文研究不同TSN转发机制对低优先级尽力而为流量的影响,通过仿真量化SP、ATS等五种机制的性能差异,发现ATS、CBS和ETS可显著提升其性能,为网络设计提供指导。

摘要:

时间敏感网络(TSN)支持在单个网络中传输多种流量类型。近年来,高优先级流量的性能已得到广泛研究,但低优先级流量的性能在不同TSN转发算法之间存在显著差异。本文概述了现有TSN转发算法,并讨论了它们对尽力而为流量的影响。通过对合成网络和真实网络的仿真量化了这些影响。所考虑的转发机制包括严格优先级(SP)、异步流量整形器(ATS)、基于信用的整形器(CBS)、增强传输选择(ETS)和时间感知整形器(TAS)。研究结果表明,与SP和TAS相比,ATS、CBS和ETS可显著减少尽力而为流量的排队延迟和队列长度。当使用CBS、ATS或ETS的高优先级队列预留带宽降低到满足预留速率和延迟要求的最低可能值时,这种效果会增强。具体而言,仿真表明,与效果最差的算法相比,转发算法的选择可将低优先级流量的性能提升高达20倍。本研究不仅全面理解了各种TSN转发算法,还可为网络设计阶段改善所有流量类型的性能提供指导。

英文摘要:

Time-Sensitive Networking (TSN) enables the transmission of multiple traffic types within a single network. While the performance of high-priority traffic has been extensively studied in recent years, the performance of low-priority traffic varies significantly between different TSN forwarding algorithms. This paper provides an overview of existing TSN forwarding algorithms and discusses their impact on best-effort traffic. The effects are quantified through simulations of synthetic and realistic networks. The considered forwarding mechanisms are Strict Priority (SP), Asynchronous Traffic Shaper (ATS), Credit-Based Shaper (CBS), Enhanced Transmission Selection (ETS), and Time-Aware Shaper (TAS). The findings indicate that ATS, CBS, and ETS can significantly reduce queuing delays and queue lengths for best-effort traffic when compared to SP and TAS. This effect is enhanced when the reserved bandwidth for high priority queues - using CBS, ATS, or ETS - is reduced to the lowest possible value, within the reserved rate and latency requirements. Specifically, the simulations demonstrate that the choice of forwarding algorithm can improve the performance of low-priority traffic by up to twenty times compared to the least effective algorithm. This study not only provides a comprehensive understanding of the various TSN forwarding algorithms but can also serve as guidance at networks' design time to improve the performance for all types of traffic.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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