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Migrating Legacy Ethernet-Based Traffic with Spatial Redundancy to TSN networks
Universitat de les Illes, Spain.
Universitat de les Illes, Spain.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
Universitat de les Illes, Spain.
2022 (English)In: IEEE International Conference on Emerging Technologies and Factory Automation, ETFA, Institute of Electrical and Electronics Engineers Inc. , 2022, Vol. 2022-SeptemberConference paper, Published paper (Refereed)
Abstract [en]

Distributed Control Systems (DCSs) for emerging industrial control applications impose new communication requirements that cannot be satisfied by current Industrial Ethernet protocols. As a result, industry is pushing the Time-Sensitive Networking (TSN) standards as the de-facto Ethernet-based linklayer to fulfill these requirements. Adequate roadmaps are needed to support a smooth transition from Industrial-Ethernet-based legacy systems to TSN-based ones. In this context some works propose mechanisms to migrate, i.e. map, route and schedule, legacy traffic to TSN. However none of them considers traffic including streams with spatial redundancy requirements and, thus, they cannot be used to migrate legacy highly-reliable DCSs. The present work extends a previous toolchain to migrate, for the first time, legacy critical traffic that includes spatially redundant streams. Particularly, since redundancy is costly, this work proposes and compares two routing methods that consider one redundant stream per traffic.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2022. Vol. 2022-September
Keywords [en]
Ethernet, Migration, Spatial Redundancy, TSN, Distributed parameter control systems, Legacy systems, Redundancy, 'current, Critical traffic, Ethernet protocols, Industrial control applications, Industrial Ethernets, Roadmap, Smooth transitions, Time-sensitive networking
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-60950DOI: 10.1109/ETFA52439.2022.9921650ISI: 000934103900198Scopus ID: 2-s2.0-85141438013ISBN: 9781665499965 (print)OAI: oai:DiVA.org:mdh-60950DiVA, id: diva2:1712710
Conference
27th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2022, Stuttgart, Germany, 6-9 September 2022
Available from: 2022-11-22 Created: 2022-11-22 Last updated: 2023-03-22Bibliographically approved

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Alvarez Vadillo, Ines

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CiteExportLink to record
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  • apa
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