DeepConf: Automating data center network topologies management with machine learning

S Salman, C Streiffer, H Chen, T Benson… - Proceedings of the 2018 …, 2018 - dl.acm.org
In recent years, many techniques have been developed to improve the performance and
efficiency of data center networks. While these techniques provide high accuracy, they are …

Automatic inference of high-level network intents by mining forwarding patterns

A Kheradmand - Proceedings of the Symposium on SDN Research, 2020 - dl.acm.org
There is a semantic gap between the high-level intents of network operators and the low-
level configurations that achieve the intents. Previous works tried to bridge the gap using …

[HTML][HTML] SDNRoute: Proactive routing optimization in Software Defined Networks

P Boryło, P Chołda, J Domżał, P Jaglarz… - Computer …, 2024 - Elsevier
Despite opening attractive perspectives, the concept of Software Defined Networking raises
doubts about the performance and practical feasibility. To contradict these concerns, we …

Comparison of optimization goals for resilient routing

C Perner, G Carle - 2019 IEEE International Conference on …, 2019 - ieeexplore.ieee.org
With the introduction of 5G, flexible network management through Software-Defined
Networking will become available in cellular networks. As this has not been designed for …

FORTIFY: Software Defined Data Plane Resilience

U Farooq, M Anwar, H Noor, R Tahir… - … IEEE Conference on …, 2022 - ieeexplore.ieee.org
Given the scale and mission-critical nature of production networks today, it is essential to
solidify their resilience to link failures. Building this resilience in each application separately …

Network optimization for safety-critical systems using software-defined networks

C Perner - Architecture of Computing Systems–ARCS 2018: 31st …, 2018 - Springer
Abstract Software-Defined Networking allows to separate traffic handling from network
management. This–in combination with potential cost savings–makes it interesting for areas …

Adaptive Network Management for Safety-Critical Systems

C Perner, H Kinkelin, G Carle - 2019 IFIP/IEEE Symposium on …, 2019 - ieeexplore.ieee.org
Present networks within safety-critical systems rely on complex and inflexible network
configurations. New technologies such as software-defined networking are more dynamic …

GCMI: a generic approach for SDN control message interception

R Bauer, A Dittebrandt… - 2019 IEEE Conference on …, 2019 - ieeexplore.ieee.org
This paper presents GCMI, a novel API for generic control message interception that can be
used to programmatically access control messages exchanged between controllers and …

Deepconfig: Automating data center network topologies management with machine learning

C Streiffer, H Chen, T Benson, A Kadav - arXiv preprint arXiv:1712.03890, 2017 - arxiv.org
In recent years, many techniques have been developed to improve the performance and
efficiency of data center networks. While these techniques provide high accuracy, they are …

Adaptive and safe network configurations in safety-critical systems

CL Perner - 2021 - mediatum.ub.tum.de
Abstract Systems are considered to be safety-critical if their failure could cause serious
damage to the environment or injuries. When networks are in use in such systems such as …