Description

Cette thèse de doctorat porte sur le routage et la configuration des réseaux sensibles au temps, en utilisant des algorithmes de calcul de réseau, des approches d'optimisation, et de l'apprentissage automatique (cf. sujet détaillé en PDF).

Compétences requises

Background in algebra. · Very good programming skills. · Knowledge of computer networks (layered approach, etc). · Interest in time-sensitive systems is a plus. · Knowledge on optimization techniques is a plus.

Bibliographie

[TSN] “Time-Sensitive Networking (TSN) Task Group |.” Accessed: Nov. 06, 2022.
Available: https://1.ieee802.org/tsn/
[LeBoudec01] J.-Y. Le Boudec and P. Thiran, Network Calculus, vol. 2050. in Lecture
Notes in Computer Science, vol. 2050. Berlin, Heidelberg: Springer, 2001. doi: 10.1007/3-
540-45318-0.
[Geyer22] F. Geyer and S. Bondorf, “Network Synthesis under Delay Constraints: The
Power of Network Calculus Differentiability,” in IEEE INFOCOM 2022 - IEEE Conference
on Computer Communications, May 2022, pp. 1539–1548. doi:
10.1109/INFOCOM48880.2022.9796777.
[Tsai24] C.-T. Tsai, S. M. Tabatabaee, S. Plassart, and J.-Y. Le Boudec, “Saihu: A common
interface of worst-case delay analysis tools for time-sensitive networks,” SoftwareX, vol.
27, p. 101882, Sept. 2024, doi: 10.1016/j.softx.2024.101882.

Mots clés

Time-Sensitive Networking (TSN), Deterministic Networking (DetNet), Network calculus, Mixed Integer Linear Programming, Machine learning