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Priority Based Ethernet Handling in Real-Time End System with Ethernet Controller Filtering
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. ABB Process Automation, Process Control Platform, Västerås, Sweden.ORCID iD: 0000-0002-5333-3699
ABB Process Automation, Process Control Platform, Västerås, Sweden.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0001-6132-7945
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-1364-8127
2022 (English)In: IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society, 2022Conference paper, Published paper (Refereed)
Abstract [en]

This work addresses the impact of best-effort traffic on network-dependent real-time functions in distributed control systems. Motivated by the increased Ethernet use in real-time dependent domains, such as the automation industry, a growth driven by Industry 4.0, interconnectivity desires, and data thirst. Ethernet allows different network-based functions to converge on one physical network infrastructure. In the automation domain, converged networks imply that functions with different criticality and real-time requirements coexist and share the same physical resources. The IEEE 60802 Time-Sensitive Networking profile for Industrial Automation targets the automation industry and addresses Ethernet network determinism on converged networks. However, the profile is still in the draft stage at the time of writing this paper. Meanwhile, Ethernet already provides attributes utilized by network equipment to prioritize time-critical communication. This paper shows that Ethernet Controller filtering with prioritized processing is a prominent solution for preserving real-time guarantees while supporting best-effort traffic. A solution capable of eliminating all best-effort traffic interference in the real-time application is exemplified and evaluated on a VxWorks system.

Place, publisher, year, edition, pages
2022.
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-61280DOI: 10.1109/IECON49645.2022.9968415Scopus ID: 2-s2.0-85143897870ISBN: 9781665480253 (print)OAI: oai:DiVA.org:mdh-61280DiVA, id: diva2:1719394
Conference
IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society, Brussels, Belgium, 17-20 October, 2022
Available from: 2022-12-15 Created: 2022-12-15 Last updated: 2022-12-21Bibliographically approved

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Johansson, BjarneNolte, ThomasPapadopoulos, Alessandro

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