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Fabien Geyer
Fabien Geyer
Adresă de e-mail confirmată pe net.in.tum.de - Pagina de pornire
Titlu
Citat de
Citat de
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Towards a deeper understanding of TCP BBR congestion control
D Scholz, B Jaeger, L Schwaighofer, D Raumer, F Geyer, G Carle
2018 IFIP networking conference (IFIP networking) and workshops, 1-9, 2018
1382018
Learning and generating distributed routing protocols using graph-based deep learning
F Geyer, G Carle
Proceedings of the 2018 Workshop on Big Data Analytics and Machine Learning …, 2018
952018
TSimNet: An industrial time sensitive networking simulation framework based on OMNeT++
P Heise, F Geyer, R Obermaisser
2016 8th IFIP International Conference on New Technologies, Mobility and …, 2016
592016
Graph neural networks for communication networks: Context, use cases and opportunities
J Suárez-Varela, P Almasan, M Ferriol-Galmés, K Rusek, F Geyer, ...
IEEE network, 2022
482022
Cryptographic hashing in p4 data planes
D Scholz, A Oeldemann, F Geyer, S Gallenmüller, H Stubbe, T Wild, ...
2019 ACM/IEEE Symposium on Architectures for Networking and Communications …, 2019
462019
Reproducible measurements of TCP BBR congestion control
B Jaeger, D Scholz, D Raumer, F Geyer, G Carle
Computer Communications 144, 31-43, 2019
452019
DeepTMA: Predicting effective contention models for network calculus using graph neural networks
F Geyer, S Bondorf
IEEE INFOCOM 2019-IEEE Conference on Computer Communications, 1009-1017, 2019
442019
A performance study of Audio Video Bridging in aeronautic Ethernet networks
E Heidinger, F Geyer, S Schneele, M Paulitsch
7th IEEE International Symposium on Industrial Embedded Systems (SIES'12), 67-75, 2012
382012
Deterministic OpenFlow: Performance evaluation of SDN hardware for avionic networks
P Heise, F Geyer, R Obermaisser
2015 11th International Conference on Network and Service Management (CNSM …, 2015
372015
Network engineering for real-time networks: comparison of automotive and aeronautic industries approaches
F Geyer, G Carle
IEEE Communications Magazine 54 (2), 106-112, 2016
312016
Comparison of ieee avb and afdx
S Schneele, F Geyer
2012 IEEE/AIAA 31st Digital Avionics Systems Conference (DASC), 7A1-1-7A1-9, 2012
302012
DeepComNet: Performance evaluation of network topologies using graph-based deep learning
F Geyer
Performance Evaluation 130, 1-16, 2019
292019
Performance perspective on private distributed ledger technologies for industrial networks
F Geyer, H Kinkelin, H Leppelsack, S Liebald, D Scholz, G Carle, ...
2019 International Conference on Networked Systems (NetSys), 1-8, 2019
242019
Performance evaluation of network topologies using graph-based deep learning
F Geyer
Proceedings of the 11th EAI International Conference on Performance …, 2017
242017
Experimental UAV data traffic modeling and network performance analysis
A Baltaci, M Klügel, F Geyer, S Duhovnikov, V Bajpai, J Ott, D Schupke
IEEE INFOCOM 2021-IEEE Conference on Computer Communications, 1-10, 2021
212021
Evaluation of audio/video bridging forwarding method in an avionics switched ethernet context
F Geyer, E Heidinger, S Schneele, A von Bodisco
2013 IEEE Symposium on Computers and Communications (ISCC), 000711-000716, 2013
162013
Generalizing Network Calculus Analysis to Derive Performance Guarantees for Multicast Flows.
S Bondorf, F Geyer
VALUETOOLS, 2016
152016
Graph-based deep learning for fast and tight network calculus analyses
F Geyer, S Bondorf
IEEE Transactions on Network Science and Engineering 8 (1), 75-88, 2020
132020
Tightening network calculus delay bounds by predicting flow prolongations in the FIFO analysis
F Geyer, A Scheffler, S Bondorf
2021 IEEE 27th Real-Time and Embedded Technology and Applications Symposium …, 2021
112021
On the robustness of deep learning-predicted contention models for network calculus
F Geyer, S Bondorf
2020 IEEE Symposium on Computers and Communications (ISCC), 1-7, 2020
112020
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