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

Authors Daniel Bujosa Mateu | Mohammad Ashjaei | Alessandro Papadopoulos | Julián Proenza Arenas | Thomas Nolte
In Proceedings of the IEEE 26th International Conference on Emerging Technologies and Factory Automation (ETFA 2021), Västerås (Sweden), 2021.

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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