LETRA: Mapping Legacy Ethernet-Based Traffic into TSN Traffic Classes

2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA ) Pub Date : 2021-09-07 DOI:10.1109/ETFA45728.2021.9613637

D. Mateu, M. Ashjaei, A. Papadopoulos, J. Proenza, Thomas Nolte

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引用次数: 7

Abstract

This paper proposes a method to efficiently map the legacy Ethernet-based traffic into Time Sensitive Networking (TSN) traffic classes considering different traffic characteristics. Traffic mapping is one of the essential steps for industries to gradually move towards TSN, which in turn significantly mitigates the management complexity of industrial communication systems. In this paper, we first identify the legacy Ethernet traffic characteristics and properties. Based on the legacy traffic characteristics we presented a mapping methodology to map them into different TSN traffic classes. We implemented the mapping method as a tool, named Legacy Ethernet-based Traffic Mapping Tool or LETRA, together with a TSN traffic scheduling and performed a set of evaluations on different synthetic networks. The results show that the proposed mapping method obtains up to 90% improvement in the schedulability ratio of the traffic compared to an intuitive mapping method on a multi-switch network architecture.

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LETRA:将基于传统以太网的流量映射到TSN流量类别

本文提出了一种将传统的基于以太网的流量根据不同的流量特征有效地映射到时间敏感网络(TSN)流量类别的方法。业务映射是工业逐步走向TSN的重要步骤之一，从而大大降低了工业通信系统的管理复杂性。在本文中，我们首先确定了遗留以太网流量的特征和属性。基于遗留流量特征，我们提出了一种映射方法，将它们映射到不同的TSN流量类别中。我们将映射方法作为一种工具，称为基于传统以太网的流量映射工具或LETRA，与TSN流量调度一起实现，并在不同的合成网络上进行了一组评估。结果表明，在多交换机网络架构下，与直观映射方法相比，该映射方法的流量可调度率提高了90%以上。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )

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