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Reliability-aware Scheduling and Routing for Messages in Time-sensitive Networking
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, Faculty of Science & Engineering. (ESLAB)
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, Faculty of Science & Engineering. General Motors R&D, Warren, MI, USA.
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, Faculty of Science & Engineering.
2021 (English)In: ACM Transactions on Embedded Computing Systems, ISSN 1539-9087, E-ISSN 1558-3465, Vol. 20, no 5, p. 1-24, article id 41Article in journal (Refereed) Published
Abstract [en]

Time-sensitive Networking (TSN) on Ethernet is a promising communication technology in the automotive and industrial automation industries due to its real-time and high-bandwidth communication capabilities. Time-triggered scheduling and static routing are often adopted in these areas due to high requirements on predictability for safety-critical applications. Deadline-constrained routing and scheduling in TSN have been studied extensively in past research. However, scheduling and routing with reliability requirements in the context of transient faults are not yet studied. In this work, we propose an Satisfiability Modulo Theory-based technique to perform scheduling and routing that takes both reliability constraints and end-to-end deadline constraints into consideration. Heuristics have been applied to improve the scalability of the solution. Extensive experiments have been conducted to demonstrate the efficiency of our proposed technique.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2021. Vol. 20, no 5, p. 1-24, article id 41
Keywords [en]
Safety-critical systems; Ethernet TSN
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:liu:diva-178613DOI: 10.1145/3458768ISI: 000679808100004Scopus ID: 2-s2.0-85111687698OAI: oai:DiVA.org:liu-178613DiVA, id: diva2:1587285
Available from: 2021-08-24 Created: 2021-08-24 Last updated: 2023-01-11Bibliographically approved

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Zhou, YuanbinSamii, SoheilEles, Petru IonPeng, Zebo

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Zhou, YuanbinSamii, SoheilEles, Petru IonPeng, Zebo
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  • apa
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Output format
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