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TSN Scheduler Benchmarking

  • Time-Sensitive Networking (TSN) disrupts realtime communication technology by making IEEE Ethernet realtime-capable. For time-triggered, hard realtime traffic, TSN provides standardized mechanisms to reserve communication paths as well as individual transmission time slots for data frames. By leveraging these means in a precomputed network schedule, TSN allows for bounded end-to-end delays and minimal jitter. Not being part of the IEEE standard, corresponding scheduling algorithms are an active field of research. Unfortunately, due to differing model assumptions, evaluation setups, and key metrics, a fair comparison of schedulers is impossible so far. In this paper, we present a systematic and reproducible approach to benchmark TSN schedulers. First, we provide a scheduler taxonomy that enables to cluster schedulers by their characteristics. Second, we analyze interactions of input parameters and scheduler results to derive a benchmarking parcour for quantitative comparisons. Finally, we use the approach to benchmark existingTime-Sensitive Networking (TSN) disrupts realtime communication technology by making IEEE Ethernet realtime-capable. For time-triggered, hard realtime traffic, TSN provides standardized mechanisms to reserve communication paths as well as individual transmission time slots for data frames. By leveraging these means in a precomputed network schedule, TSN allows for bounded end-to-end delays and minimal jitter. Not being part of the IEEE standard, corresponding scheduling algorithms are an active field of research. Unfortunately, due to differing model assumptions, evaluation setups, and key metrics, a fair comparison of schedulers is impossible so far. In this paper, we present a systematic and reproducible approach to benchmark TSN schedulers. First, we provide a scheduler taxonomy that enables to cluster schedulers by their characteristics. Second, we analyze interactions of input parameters and scheduler results to derive a benchmarking parcour for quantitative comparisons. Finally, we use the approach to benchmark existing schedulers and show subtle interaction effects. This way, our approach enables—for the first time-comparability between schedulers, fueled by the public availability of our benchmarking scenarios.show moreshow less

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Author: Eike Schweissguth, Helge Parzyjegla, Peter Danielis, Gero Mühl, Dirk Timmermann, Stefan Mehner, Oliver Hohlfeld, David Hellmanns, Jonathan Falk
URL:https://ieeexplore.ieee.org/document/10144227/authors#full-text-header
DOI:https://doi.org/10.1109/WFCS57264.2023.10144227
ISBN:978-1-6654-6432-1
ISBN:978-1-6654-6433-8
ISSN:2835-8414
ISSN:2835-8511
Title of the source (English):2023 IEEE 19th International Conference on Factory Communication Systems (WFCS)
Publisher:IEEE
Document Type:Conference publication peer-reviewed
Language:English
Year of publication:2023
Contributing Corporation:IEEE
Tag:Benchmark testing; Process control; Schedules; Scheduling algorithms; Standardization; Systematics; Taxonomy
Faculty/Chair:Fakultät 1 MINT - Mathematik, Informatik, Physik, Elektro- und Informationstechnik / FG Rechnernetze und Kommunikationssysteme
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