TY - GEN A1 - Busse, Anselm A1 - Karnapke, Reinhardt A1 - Parzyjegla, Helge T1 - Simulation-Based Tracing and Profiling for System Software Development T2 - Proceedings of the 10th ACM International Systems and Storage Conference, SYSTOR '17 Y1 - 2017 SN - 978-1-4503-5035-8 U6 - https://doi.org/10.1145/3078468.3078475 SP - 8:1 EP - 8:6 PB - ACM CY - New York, NY ER - TY - GEN A1 - Schweissguth, Eike A1 - Parzyjegla, Helge A1 - Danielis, Peter A1 - Mühl, Gero A1 - Timmermann, Dirk A1 - Mehner, Stefan A1 - Hohlfeld, Oliver A1 - Hellmanns, David A1 - Falk, Jonathan T1 - TSN Scheduler Benchmarking T2 - 2023 IEEE 19th International Conference on Factory Communication Systems (WFCS) N2 - 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 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. KW - Schedules KW - Systematics KW - Scheduling algorithms KW - Taxonomy KW - Process control KW - Standardization KW - Benchmark testing Y1 - 2023 UR - https://ieeexplore.ieee.org/document/10144227/authors#full-text-header SN - 978-1-6654-6432-1 SN - 978-1-6654-6433-8 U6 - https://doi.org/10.1109/WFCS57264.2023.10144227 SN - 2835-8414 SN - 2835-8511 PB - IEEE ER -