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A novel frame preemption model in TSN networks
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-3469-1834
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0001-7586-0409
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-3242-6113
2021 (English)In: Journal of systems architecture, ISSN 1383-7621, E-ISSN 1873-6165, Vol. 116, article id 102037Article in journal (Refereed) Published
Abstract [en]

This paper identifies a limitation in the frame preemption model in the TSN standard (IEEE 802.1Q-2018), due to which high priority frames can experience significantly long blocking delays, thereby exacerbating their worst-case response times. This limitation can have a considerable impact on the design, analysis and performance of TSN-based systems. To address this limitation, the paper presents a novel and more efficient frame preemption model in the TSN standard that allows over 90% reduction in the maximum blocking delay leading to lower worst-case response times of high priority frames compared to the frame preemption model used in the existing works. The paper also shows that the improvement becomes even more significant in multi-switch TSN networks. In order to evaluate the effects of preemption, the paper performs simulations by enabling and disabling preemptions as well as enabling and disabling the Hold/Release mechanism supported by TSN. Furthermore, the paper performs a comparative evaluation of the two models of frame preemption in TSN using simulations. The evaluation shows that the maximum response times of high priority frames can be significantly reduced with very small impact on the response times of lower priority frames. The paper also shows the improvement in the maximum response times of higher priority frames using an automotive industrial use case that employs a multi-hop TSN network for on-board communication.

Place, publisher, year, edition, pages
Elsevier B.V. , 2021. Vol. 116, article id 102037
Keywords [en]
Automotive networks, Frame preemption, Performance analysis, Response times, Time-sensitive networking, TSN, Software engineering, Comparative evaluations, Industrial use case, Multihop, Preemption models
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:mdh:diva-53477DOI: 10.1016/j.sysarc.2021.102037ISI: 000663315100003Scopus ID: 2-s2.0-85100085490OAI: oai:DiVA.org:mdh-53477DiVA, id: diva2:1529706
Available from: 2021-02-19 Created: 2021-02-19 Last updated: 2021-07-08Bibliographically approved

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Ashjaei, Seyed Mohammad HosseinSjödin, MikaelMubeen, Saad

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