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Fabien Geyer
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- affiliation: Airbus Central Research & Technology, Germany
- affiliation: Technical University of Munich, Germany
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2020 – today
- 2024
- [c36]Karim S. Elsayed, Fabien Geyer, Amr Rizk:
Utility-Driven Optimization of TTL Cache Hierarchies Under Network Delays. IFIP Networking 2024: 249-257 - [i10]Fabien Geyer, Johannes Freitag, Tobias Schulz, Sascha Uhrig:
Efficient and Mathematically Robust Operations for Certified Neural Networks Inference. CoRR abs/2401.08225 (2024) - [i9]Karim Elsayed, Fabien Geyer, Amr Rizk:
Utility-driven Optimization of TTL Cache Hierarchies under Network Delays. CoRR abs/2405.04402 (2024) - 2023
- [j8]Krzysztof Rusek, Piotr Borylo, Piotr Jaglarz, Fabien Geyer, Albert Cabellos, Piotr Cholda:
RiskNet: Neural Risk Assessment in Networks of Unreliable Resources. J. Netw. Syst. Manag. 31(3): 64 (2023) - [j7]José Suárez-Varela, Paul Almasan, Miquel Ferriol Galmés, Krzysztof Rusek, Fabien Geyer, Xiangle Cheng, Xiang Shi, Shihan Xiao, Franco Scarselli, Albert Cabellos-Aparicio, Pere Barlet-Ros:
Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities. IEEE Netw. 37(3): 146-153 (2023) - [j6]Fabien Geyer, Alexander Scheffler, Steffen Bondorf:
Network Calculus With Flow Prolongation - A Feedforward FIFO Analysis Enabled by ML. IEEE Trans. Computers 72(1): 97-110 (2023) - [i8]Fabien Geyer, Steffen Bondorf:
Differentiable Programming & Network Calculus: Configuration Synthesis under Delay Constraints. CoRR abs/2307.14280 (2023) - [i7]Fabien Geyer, Thomas Multerer, Paulo Mendes, Dominic Schupke:
Passive Sensing and Localization in an Aircraft Cabin Using a Wireless Communication Network. CoRR abs/2312.11160 (2023) - 2022
- [j5]Markus Klügel, Aygün Baltaci, Fabien Geyer, Nunzio Sciammetta, Svetoslav Duhovnikov, Dominic Schupke:
Communication Demands and Performance Metrics for Next Generation Aerial Networks. IEEE Commun. Mag. 60(5): 32-37 (2022) - [c35]Fabien Geyer, Dominic Schupke:
Precise Onboard Aircraft Cabin Localization using UWB and ML. GLOBECOM 2022: 2032-2037 - [c34]Aygün Baltaci, Hendrik Cech, Nitinder Mohan, Fabien Geyer, Vaibhav Bajpai, Jörg Ott, Dominic Schupke:
Analyzing real-time video delivery over cellular networks for remote piloting aerial vehicles. IMC 2022: 98-112 - [c33]Fabien Geyer, Steffen Bondorf:
Network Synthesis under Delay Constraints: The Power of Network Calculus Differentiability. INFOCOM 2022: 1539-1548 - [c32]Aygün Baltaci, Fabien Geyer, Markus Klügel, Dominic Schupke:
Demo: A Combined Multipath Connectivity and Flight Simulation Framework. DIVANet 2022: 17-21 - [c31]Aygün Baltaci, Fabien Geyer, Dominic Schupke, Jörg Ott:
End-to-end Multipath Optimization for Reliable Aerial Connectivity. DIVANet 2022: 53-62 - [i6]Krzysztof Rusek, Piotr Borylo, Piotr Jaglarz, Fabien Geyer, Albert Cabellos, Piotr Cholda:
RiskNet: Neural Risk Assessment in Networks of Unreliable Resources. CoRR abs/2201.12263 (2022) - [i5]Fabien Geyer, Alexander Scheffler, Steffen Bondorf:
Network Calculus with Flow Prolongation - A Feedforward FIFO Analysis enabled by ML. CoRR abs/2202.03004 (2022) - [i4]Fabien Geyer, Dominic Schupke:
Precise Onboard Aicraft Cabin Localization using UWB and ML. CoRR abs/2203.08403 (2022) - 2021
- [j4]Fabien Geyer, Steffen Bondorf:
Graph-Based Deep Learning for Fast and Tight Network Calculus Analyses. IEEE Trans. Netw. Sci. Eng. 8(1): 75-88 (2021) - [c30]Aygün Baltaci, Markus Klügel, Fabien Geyer, Svetoslav Duhovnikov, Vaibhav Bajpai, Jörg Ott, Dominic Schupke:
Experimental UAV Data Traffic Modeling and Network Performance Analysis. INFOCOM 2021: 1-10 - [c29]Peter Okelmann, Leonardo Linguaglossa, Fabien Geyer, Paul Emmerich, Georg Carle:
Adaptive Batching for Fast Packet Processing in Software Routers using Machine Learning. NetSoft 2021: 206-210 - [c28]Fabien Geyer, Alexander Scheffler, Steffen Bondorf:
Tightening Network Calculus Delay Bounds by Predicting Flow Prolongations in the FIFO Analysis. RTAS 2021: 157-170 - [i3]José Suárez-Varela, Paul Almasan, Miquel Ferriol Galmés, Krzysztof Rusek, Fabien Geyer, Xiangle Cheng, Xiang Shi, Shihan Xiao, Franco Scarselli, Albert Cabellos-Aparicio, Pere Barlet-Ros:
Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities. CoRR abs/2112.14792 (2021) - 2020
- [c27]Fabien Geyer, Steffen Bondorf:
On the Robustness of Deep Learning-predicted Contention Models for Network Calculus. ISCC 2020: 1-7 - [c26]Steffen Bondorf, Fabien Geyer:
Virtual Cross-Flow Detouring in the Deterministic Network Calculus Analysis. Networking 2020: 554-558
2010 – 2019
- 2019
- [j3]Benedikt Jaeger, Dominik Scholz, Daniel Raumer, Fabien Geyer, Georg Carle:
Reproducible measurements of TCP BBR congestion control. Comput. Commun. 144: 31-43 (2019) - [j2]Fabien Geyer:
DeepComNet: Performance evaluation of network topologies using graph-based deep learning. Perform. Evaluation 130: 1-16 (2019) - [c25]Dominik Scholz, Andreas Oeldemann, Fabien Geyer, Sebastian Gallenmüller, Henning Stubbe, Thomas Wild, Andreas Herkersdorf, Georg Carle:
Cryptographic Hashing in P4 Data Planes. ANCS 2019: 1-6 - [c24]Charles Shelbourne, Leonardo Linguaglossa, Aldo Lipani, Tianzhu Zhang, Fabien Geyer:
On the Learnability of Software Router Performance via CPU Measurements. CoNEXT Companion 2019: 23-25 - [c23]Fabien Geyer, Steffen Bondorf:
DeepTMA: Predicting Effective Contention Models for Network Calculus using Graph Neural Networks. INFOCOM 2019: 1009-1017 - [c22]Fabien Geyer, Holger Kinkelin, Hendrik Leppelsack, Stefan Liebald, Dominik Scholz, Georg Carle, Dominic Schupke:
Performance Perspective on Private Distributed Ledger Technologies for Industrial Networks. NetSys 2019: 1-8 - [c21]Fabien Geyer, Stefan Schmid:
DeepMPLS: Fast Analysis of MPLS Configurations Using Deep Learning. Networking 2019: 1-9 - [c20]Leonardo Linguaglossa, Fabien Geyer, Wenqin Shao, Frank Brockners, Georg Carle:
Demonstrating the Cost of Collecting In-Network Measurements for High-Speed VNFs. TMA 2019: 193-194 - [p1]Steffen Bondorf, Fabien Geyer:
Deterministic Network Calculus Analysis of Multicast Flows. Systems Modeling: Methodologies and Tools 2019: 63-78 - [i2]Sebastian Gallenmüller, Dominik Schöffmann, Dominik Scholz, Fabien Geyer, Georg Carle:
DTLS Performance - How Expensive is Security? CoRR abs/1904.11423 (2019) - [i1]Fabien Geyer, Steffen Bondorf:
On the Robustness of Deep Learning-predicted Contention Models for Network Calculus. CoRR abs/1911.10522 (2019) - 2018
- [c19]Dominik Scholz, Benedikt Jaeger, Lukas Schwaighofer, Daniel Raumer, Fabien Geyer, Georg Carle:
Towards a Deeper Understanding of TCP BBR Congestion Control. Networking 2018: 109-117 - [c18]Fabien Geyer, Georg Carle:
Learning and Generating Distributed Routing Protocols Using Graph-Based Deep Learning. Big-DAMA@SIGCOMM 2018: 40-45 - [c17]Fabien Geyer, Georg Carle:
The Case for a Network Calculus Heuristic: Using Insights from Data for Tighter Bounds. ITC (2) 2018: 43-48 - 2017
- [c16]Alireza Zamani, Fabien Geyer, Alexandros Elefsiniotis, Anke Schmeink:
Aircraft network deployment optimization with k-survivability. ANTS 2017: 1-6 - [c15]Peter Heise, Fabien Geyer, Roman Obermaisser:
Self-configuring deterministic network with in-band configuration channel. SDS 2017: 162-167 - [c14]Fabien Geyer:
Performance Evaluation of Network Topologies using Graph-Based Deep Learning. VALUETOOLS 2017: 20-27 - 2016
- [j1]Fabien Geyer, Georg Carle:
Network engineering for real-time networks: comparison of automotive and aeronautic industries approaches. IEEE Commun. Mag. 54(2): 106-112 (2016) - [c13]Peter Heise, Marc Lasch, Fabien Geyer, Roman Obermaisser:
Self-configuring real-time communication network based on OpenFlow. LANMAN 2016: 1-6 - [c12]Peter Heise, Fabien Geyer, Roman Obermaisser:
TSimNet: An Industrial Time Sensitive Networking Simulation Framework Based on OMNeT++. NTMS 2016: 1-5 - [c11]Steffen Bondorf, Fabien Geyer:
Generalizing Network Calculus Analysis to Derive Performance Guarantees for Multicast Flows. VALUETOOLS 2016 - 2015
- [b1]Fabien Geyer:
End-to-End Flow-Level Quality-of-Service Guarantees for Switched Networks. Technical University Munich, 2015, ISBN 978-3-937201-49-8, pp. 1-234 - [c10]Peter Heise, Fabien Geyer, Roman Obermaisser:
Deterministic OpenFlow: Performance evaluation of SDN hardware for avionic networks. CNSM 2015: 372-377 - [c9]Fabien Geyer, Alexandros Elefsiniotis, Dominic A. Schupke, Stefan Schneele:
Multi-objective optimization of aircraft networks for weight, performance and survivability. RNDM@WMNC 2015: 345-350 - [c8]Peter Heise, Fabien Geyer, Alexandros Elefsiniotis, Roman Obermaisser:
Towards a Deterministic Mixed Criticality High Availability Seamless Redundancy (HSR) Ring. Nets4Cars/Nets4Trains/Nets4Aircraft 2015: 191-202 - 2014
- [c7]Fabien Geyer, Stefan Schneele, Georg Carle:
Towards stochastic flow-level network modeling: Performance evaluation of short TCP flows. LCN 2014: 462-465 - [c6]Fabien Geyer, Stefan Schneele, Wolfgang Fischer:
Performance Evaluation of an Ethernet-Based Cabin Network Architecture Supporting a Low-Latency Service. Nets4Cars/Nets4Trains/Nets4Aircraft 2014: 69-80 - [c5]Fabien Geyer, Stefan Schneele, Georg Carle:
PETFEN: A Performance Evaluation Tool for Flow-Level Network Modeling of Ethernet Networks. VALUETOOLS 2014 - 2013
- [c4]Fabien Geyer, Emanuel Heidinger, Stefan Schneele, Alexander von Bodisco:
Evaluation of Audio/Video Bridging forwarding method in an avionics switched ethernet context. ISCC 2013: 711-716 - [c3]Fabien Geyer, Stefan Schneele, Georg Carle:
RENETO, a realistic network traffic generator for OMNeT++/INET. SimuTools 2013: 73-81 - [c2]Fabien Geyer, Stefan Schneele, Georg Carle:
Practical performance evaluation of ethernet networks with flow-level network modeling. VALUETOOLS 2013: 253-262 - 2012
- [c1]Emanuel Heidinger, Fabien Geyer, Stefan Schneele, Michael Paulitsch:
A performance study of Audio Video Bridging in aeronautic Ethernet networks. SIES 2012: 67-75
Coauthor Index
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last updated on 2024-10-07 21:23 CEST by the dblp team
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