1 code implementation • 5 Jan 2024 • Vamsi Addanki, Maciej Pacut, Stefan Schmid
This suggests that augmenting drop-tail algorithms with predictions about the future arrivals has the potential to significantly improve performance.
no code implementations • 30 Nov 2023 • Daniel Grimm, Maximilian Zipfl, Felix Hertlein, Alexander Naumann, Jürgen Lüttin, Steffen Thoma, Stefan Schmid, Lavdim Halilaj, Achim Rettinger, J. Marius Zöllner
Precisely predicting the future trajectories of surrounding traffic participants is a crucial but challenging problem in autonomous driving, due to complex interactions between traffic agents, map context and traffic rules.
no code implementations • 18 Feb 2021 • Maciej Pacut, Mahmoud Parham, Joel Rybicki, Stefan Schmid, Jukka Suomela, Aleksandr Tereshchenko
Online algorithms make decisions based on past inputs.
Data Structures and Algorithms Distributed, Parallel, and Cluster Computing
no code implementations • 17 Feb 2021 • Sebastian Monka, Lavdim Halilaj, Stefan Schmid, Achim Rettinger
However, due to the sole dependence on the image data distribution of the training domain, these models tend to fail when applied to a target domain that differs from their source domain.
no code implementations • 22 Apr 2020 • Apoorv Shukla, Kevin Hudemann, Zsolt Vági, Lily Hügerich, Georgios Smaragdakis, Stefan Schmid, Artur Hecker, Anja Feldmann
Once the bug in a P4 program is localized, the faulty code can be patched due to the programmable nature of P4.
4 code implementations • 12 Mar 2018 • Matthias Rost, Stefan Schmid
Accordingly, to capture the structure of request graphs, we introduce the graph-theoretic notion of extraction orders and extraction width and show that our algorithms have exponential runtime in the request graphs' maximal width.
Networking and Internet Architecture Data Structures and Algorithms C.2.2; G.1.6; G.2.2
4 code implementations • 9 Mar 2018 • Matthias Rost, Stefan Schmid
Proving performance guarantees of our rounding scheme, we obtain the first approximation algorithm for the VNEP in the resource augmentation model.
Networking and Internet Architecture Data Structures and Algorithms C.2.2; G.1.6; F.2.2
1 code implementation • 20 Dec 2017 • Marco Canini, Iosif Salem, Liron Schiff, Elad Michael Schiller, Stefan Schmid
By introducing programmability, automated verification, and innovative debugging tools, Software-Defined Networks (SDNs) are poised to meet the increasingly stringent dependability requirements of today's communication networks.
Networking and Internet Architecture Distributed, Parallel, and Cluster Computing Data Structures and Algorithms
3 code implementations • 7 Apr 2016 • Matthias Rost, Stefan Schmid
The SDN and NFV paradigms enable novel network services which can be realized and embedded in a flexible and rapid manner.
Networking and Internet Architecture C.2.2; G.1.6; F.2.2