DeepConf: Automating data center network topologies management with machine learning
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 …
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 …
level configurations that achieve the intents. Previous works tried to bridge the gap using …
[HTML][HTML] SDNRoute: Proactive routing optimization in Software Defined Networks
Despite opening attractive perspectives, the concept of Software Defined Networking raises
doubts about the performance and practical feasibility. To contradict these concerns, we …
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 …
Networking will become available in cellular networks. As this has not been designed for …
FORTIFY: Software Defined Data Plane Resilience
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 …
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 …
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 …
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 …
used to programmatically access control messages exchanged between controllers and …
Deepconfig: Automating data center network topologies management with machine learning
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 …
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 …
damage to the environment or injuries. When networks are in use in such systems such as …