Dr. rer. nat. Stefan Geißler

Telefon | (0931) 31-83134 |
Telefax | (0931) 31-86632 |
stefan.geissler@informatik.uni-wuerzburg.de | |
Raum | A209 |
Anschrift | Lehrstuhl für Informatik III Am Hubland |
Research Interests
My research interests include the following topics:
- Software-defined Networking (SDN) and Network Function Virtualization (NFV)
- Internet of Things
- 5G Mobile Communication
- Traffic Measurements and Traffic Modeling
- Performance Evaluation and Modeling of Communication Systems
- Simulation of Communication Systems and Network Applications
- Queuing Theory and Discrete-time Analysis
Recent Publications
2025[ to top ]
-
Trust your local scaler: A continuous, decentralized approach to autoscaling. In: Performance Evaluation vol. 167, North-Holland (2025), p. 102452:
- [ BibTeX ]
2024[ to top ]
-
Untangling IoT Global Connectivity: The Importance of Mobile Signaling Traffic. In: IEEE Transactions on Network and Service Management, IEEE (2024):
- [ BibTeX ]
-
Centralized vs. Decentralized: A Hybrid Performance Model of the TSN Resource Allocation Protocol.. In: 2024 20th International Conference on Network and Service Management (CNSM) : IEEE, 2024, pp. 1–9:
- [ BibTeX ]
-
Towards Modeling the Impact of 5G New Radio on Dataplane Traffic Characteristics (2024):
- [ BibTeX ]
-
A Shortcut Through the IPX: Measuring Latencies in Global Mobile Roaming with Regional Breakouts.. In: 2024 8th Network Traffic Measurement and Analysis Conference (TMA) : IEEE, 2024, pp. 1–10:
- [ BibTeX ]
-
Agree to Disagree: Exploring Consensus of XAI Methods for ML-based NIDS.. In: 2024 20th International Conference on Network and Service Management (CNSM) : IEEE, 2024, pp. 1–7:
- [ BibTeX ]
-
Parameterizing 5G New Radio: A Comparative Measurement Study on Throughput and Delay.. In: 2024 20th International Conference on Network and Service Management (CNSM) : IEEE, 2024, pp. 1–7:
- [ BibTeX ]
-
Certainly Uncertain: Demystifying ML Uncertainty for Active Learning in Network Monitoring Tasks.. In: 2024 20th International Conference on Network and Service Management (CNSM) : IEEE, 2024, pp. 1–7:
- [ BibTeX ]
-
Energy Consumption in Converged Networks: A Study of LTE-M and Non-Terrestrial NB-IoT (2024):
- [ BibTeX ]
-
Marina: Realizing ML-Driven Real-Time Network Traffic Monitoring at Terabit Scale. In: IEEE Transactions on Network and Service Management, IEEE (2024):
- [ BibTeX ]