Network Synthesis under Delay Constraints: The Power of Network Calculus Differentiability
Fabien Geyer, Steffen Bondorf
Abstract
With the advent of standards for deterministic network behavior, synthesizing network designs under delay constraints becomes the natural next task to tackle. Network Calculus (NC) has become a key method for validating industrial networks, as it computes formally verified end-to-end delay bounds. However, analyses from the NC framework were thus far designed to bound one flow’s delay at a time. Attempts to use classical analyses for derivation of a network configuration revealed this approach to be poorly fitted for practical use cases. Take finding a delay-optimal routing configuration: One model for each routing alternative had to be created, then each flow delay had to be bounded, then the bounds were compared to the given constraints. To overcome this three-step procedure, we introduce Differential Network Calculus. We extend NC to allow for differentiation of delay bounds w.r.t. to a wide range of network parameters – such as flow routes. This opens up NC to a class of efficient nonlinear optimization techniques taking advantage of the delay bound computation’s gradient. Our numerical evaluation on the routing problem shows that our novel method can synthesize flow path in a matter of seconds, outperforming existing methods by multiple orders of magnitude.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Cited by top-tier papers1
Ask how each one uses itRelated papers
- Optimizing Quantum Assignment for DRR in TSN: A Network Calculus-Based MethodAnlan Xie, Feng He, Luxi ZhaoRTSS 2024 · 2 citations
- Differential Network AnalysisPeng Zhang, Aaron Gember-Jacobson, Yueshang Zuo, Yuhao Huang et al.NSDI 2022
- Formal Methods for Network Performance AnalysisMina Tahmasbi Arashloo, Ryan Beckett, Rachit AgarwalNSDI 2023 · 27 citations
- Coarsening optimization for differentiable programmingXipeng Shen, Guoqiang Zhang, Irene Dea, Samantha Andow et al.OOPSLA 2021 · 1 citation
- Formal Timing Analysis of CQF Interference in TSN: A Network Calculus-Based ApproachLuxi Zhao, Lei Rao, Qiao Li, Rubi DebnathRTSS 2025
