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Introducing Guard Frames to Ensure Schedulability of All TSN Traffic Classes
Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation.ORCID iD: 0000-0001-5805-3015
University of the Balearic Islands, Palma, Spain.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-1364-8127
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0001-6132-7945
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2023 (English)In: IEEE Int. Conf. Emerging Technol. Factory Autom., ETFA, Institute of Electrical and Electronics Engineers Inc. , 2023, Vol. SeptemberConference paper, Published paper (Refereed)
Abstract [en]

Offline scheduling of Scheduled Traffic (ST) in Time-Sensitive Networks (TSN) without taking into account the quality of service of non-ST traffic, e.g., time-sensitive traffic such as Audio-Video Bridging (AVB) traffic, can potentially cause deadline misses for non-ST traffic. In this paper, we report our ongoing work to propose a solution that, regardless of the ST scheduling algorithm being used, can ensure meeting timing requirements for non-ST traffic. To do this, we define a frame called Guard Frame (GF) that will be scheduled together with all ST frames. We show that a proper design for the GFs will leave necessary porosity in the ST schedules to ensure that all non-ST traffic will meet their timing requirements.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2023. Vol. September
Keywords [en]
AVB schedulability, offline schedule synthesis, Time-Sensitive Networking (TSN), Quality of service, Audio videos, Audio-video bridging schedulability, Off line scheduling, Offline, Schedulability, Scheduled traffics, Time-sensitive networking, Timing requirements, Traffic class, Scheduling algorithms
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:mdh:diva-64689DOI: 10.1109/ETFA54631.2023.10275532Scopus ID: 2-s2.0-85175428494ISBN: 9798350339918 (print)OAI: oai:DiVA.org:mdh-64689DiVA, id: diva2:1811421
Conference
IEEE International Conference on Emerging Technologies and Factory Automation, ETFA
Available from: 2023-11-13 Created: 2023-11-13 Last updated: 2023-11-13Bibliographically approved

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Bujosa Mateu, DanielPapadopoulos, AlessandroNolte, ThomasAshjaei, Seyed Mohammad Hossein

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