Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
156 tokens/sec
GPT-4o
7 tokens/sec
Gemini 2.5 Pro Pro
45 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
38 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Quantifying the Impact of Frame Preemption on Combined TSN Shapers (2401.13631v2)

Published 24 Jan 2024 in cs.NI

Abstract: Different scheduling mechanisms in Time Sensitive Networking (TSN) can be integrated together to design and support complex architectures with enhanced capabilities for mixed critical networks. Integrating Frame Preemption (FP) with Credit-Based Shaper (CBS) and Gate Control List (GCL) opens up different modes and configuration choices resulting in a complex evaluation of several possibilities and their impact on the Quality of Service (QoS). In this paper, we implement and quantify the integration of preemptive CBS with GCL by incorporating FP into the architecture. Our experiments show that the end-to-end delay of Audio Video Bridging (AVB) flows shaped by CBS reduces significantly (up to 40\%) when AVB flows are set to preemptable class. We further show that the jitter of Time Triggered (TT) traffic remains unaffected in "with Hold/Release" mode. Furthermore, we propose to introduce Guardband (GB) in the "without Hold/Release" to reduce the jitter of the TT flow. We compare all the different integration modes, starting with CBS with GCL, extending it further to FP. We evaluate all feasible combinations in both synthetic and realistic scenarios and offer recommendations for practical configuration methods.

Definition Search Book Streamline Icon: https://streamlinehq.com
References (16)
  1. “Ieee standard for local and metropolitan area networks – bridges and bridged networks - amendment 25: Enhancements for scheduled traffic,” IEEE Std 802.1Qbv-2015 (Amendment to IEEE Std 802.1Q-2014 as amended by IEEE Std 802.1Qca-2015, IEEE Std 802.1Qcd-2015, and IEEE Std 802.1Q-2014/Cor 1-2015), pp. 1–57, 2016.
  2. “Ieee standard for local and metropolitan area networks–audio video bridging (avb) systems,” IEEE Std 802.1BA-2011, pp. 1–45, 2011.
  3. “Ieee standard for local and metropolitan area networks – bridges and bridged networks – amendment 26: Frame preemption,” IEEE Std 802.1Qbu-2016 (Amendment to IEEE Std 802.1Q-2014), pp. 1–52, 2016.
  4. L. Zhao, P. Pop, Z. Zheng, H. Daigmorte, and M. Boyer, “Latency analysis of multiple classes of avb traffic in tsn with standard credit behavior using network calculus,” IEEE Transactions on Industrial Electronics, vol. 68, no. 10, pp. 10 291–10 302, 2021.
  5. M. Boyer and H. Daigmorte, “Impact on credit freeze before gate closing in cbs and gcl integration into tsn,” in Proceedings of the 27th International Conference on Real-Time Networks and Systems, ser. RTNS ’19.   New York, NY, USA: Association for Computing Machinery, 2019, p. 80–89.
  6. L. Zhao, P. Pop, Z. Zheng, and Q. Li, “Timing analysis of avb traffic in tsn networks using network calculus,” in 2018 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), 2018, pp. 25–36.
  7. V. Gavriluţ and P. Pop, “Traffic-type assignment for tsn-based mixed-criticality cyber-physical systems,” ACM Trans. Cyber-Phys. Syst., vol. 4, no. 2, jan 2020. [Online]. Available: https://doi.org/10.1145/3371708
  8. “Ieee standard for local and metropolitan area network–bridges and bridged networks,” IEEE Std 802.1Q-2018 (Revision of IEEE Std 802.1Q-2014), pp. 1–1993, 2018.
  9. L. Zhao, P. Pop, and S. Steinhorst, “Quantitative performance comparison of various traffic shapers in time-sensitive networking,” IEEE Transactions on Network and Service Management, vol. 19, no. 3, pp. 2899–2928, 2022.
  10. A. Arestova, K.-S. Jens Hielscher, and R. German, “Simulative evaluation of the tsn mechanisms time-aware shaper and frame preemption and their suitability for industrial use cases,” in 2021 IFIP Networking Conference (IFIP Networking), 2021, pp. 1–6.
  11. M. A. Ojewale, P. M. Yomsi, and B. Nikolić, “Multi-level preemption in tsn: Feasibility and requirements analysis,” in 2020 IEEE 23rd International Symposium on Real-Time Distributed Computing (ISORC), 2020, pp. 47–55.
  12. M. A. Ojewale, P. Meumeu Yomsi, and L. Almeida, “A configuration framework for multi-level preemption schemes in time sensitive networking,” ser. RTNS ’22.   New York, NY, USA: Association for Computing Machinery, 2022, p. 219–229. [Online]. Available: https://doi.org/10.1145/3534879.3534891
  13. M. Ashjaei, M. Sjödin, and S. Mubeen, “A novel frame preemption model in tsn networks,” Journal of Systems Architecture, vol. 116, p. 102037, 2021. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S1383762121000382
  14. R. Debnath, P. Hortig, L. Zhao, and S. Steinhorst, “Advanced modeling and analysis of individual and combined tsn shapers in omnet++,” in 2023 IEEE 29th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), 2023, pp. 176–185.
  15. M. Ashjaei, L. Murselović, and S. Mubeen, “Implications of various preemption configurations in tsn networks,” IEEE Embedded Systems Letters, vol. 14, no. 1, pp. 39–42, 2022.
  16. A. Berisa, L. Zhao, S. S. Craciunas, M. Ashjaei, S. Mubeen, M. Daneshtalab, and M. Sjödin, “Avb-aware routing and scheduling for critical traffic in time-sensitive networks with preemption,” in Proceedings of the 30th International Conference on Real-Time Networks and Systems, ser. RTNS ’22.   New York, NY, USA: Association for Computing Machinery, 2022, p. 207–218. [Online]. Available: https://doi.org/10.1145/3534879.3534926
Citations (1)

Summary

We haven't generated a summary for this paper yet.

X Twitter Logo Streamline Icon: https://streamlinehq.com