基于时间触发以太网的异构流量网络确定性测试平台研究

Allen Starke, D. Kumar, M. Ford, J. Mcnair, A. Bell
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引用次数: 5

摘要

未来的战术通信涉及高数据速率的最佳努力流量,以及具有硬截止日期的时间关键应用的实时流量。不可用的带宽和/或不及时的响应可能导致不希望的甚至灾难性的结果。基于以太网的通信系统具有更高的带宽、更好的利用率和处理异构流量的能力,是主要的战术网络标准之一。但是,以太网在高负载下的抖动、延迟和带宽方面存在性能不一致的问题。新兴的时间触发以太网(TTE)解决方案承诺了确定的以太网性能、容错拓扑和关键流量的实时保证。本文对TTE协议进行了研究,并搭建了TTTech TTE测试平台对其性能进行了评估。通过实验研究,观察到TTE协议为最佳努力消息提供一致的高数据速率,为时间触发消息提供非常低抖动的确定性,并使用冗余网络拓扑为最小的数据包丢失提供容错性。此外,还观察到在集成周期和同步开销之间进行权衡的挑战。结果表明,TTE是一种能够支持时间关键应用(如航空航天系统)中异构通信的解决方案。飞机、宇宙飞船等)、地面交通工具(如:火车,公共汽车,汽车等)和网络物理系统(例如。智能电网、物联网等)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A test bed study of network determinism for heterogeneous traffic using time-triggered ethernet
Future tactical communications involves high data rate best effort traffic working alongside real-time traffic for time-critical applications with hard deadlines. Unavailable bandwidth and/or untimely responses may lead to undesired or even catastrophic outcomes. Ethernet-based communication systems are one of the major tactical network standards due to the higher bandwidth, better utilization, and ability to handle heterogeneous traffic. However, Ethernet suffers from inconsistent performance for jitter, latency and bandwidth under heavy loads. The emerging Time-Triggered Ethernet (TTE) solutions promise deterministic Ethernet performance, fault-tolerant topologies and real-time guarantees for critical traffic. In this paper we study the TTE protocol and build a TTTech TTE test bed to evaluate its performance. Through experimental study, the TTE protocol was observed to provide consistent high data rates for best effort messages, determinism with very low jitter for time-triggered messages, and fault-tolerance for minimal packet loss using redundant networking topologies. In addition, challenges were observed that presented a trade-off between the integration cycle and the synchronization overhead. It is concluded that TTE is a capable solution to support heterogeneous traffic in time-critical applications, such as aerospace systems (eg. airplanes, spacecraft, etc.), ground-based vehicles (eg. trains, buses, cars, etc), and cyber-physical systems (eg. smart-grids, IoT, etc.).
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