Johannes Späth, M.Sc.

Research Associate

Postal address

  • Institut für Informatik der
  • Technischen Universität München
  • Lehrstuhl I8
  • Boltzmannstr. 3
  • 85748 Garching bei München - Germany

Contact

Consultation hours

By arrangement

Research

Research Topics

  • QUIC Protocol
  • Autonomous Driving Networks (ADNs)

Teaching

Supervised Theses

Open

Title Type Advisors Year Links
Tutor for iLabX Hiwi Kilian Holzinger, Johannes Späth, Tim Betzer 2024
iLabX Course Content Maintenance Hiwi Kilian Holzinger, Johannes Späth, Tim Betzer 2024

In progress

Student Title Type Advisors Year Links
Nikolas Gauder Accelerating QUIC with XDP IDP Marcel Kempf, Johannes Späth, Benedikt Jaeger 2024
Saloni Mordekar iLab: Improving the Selfstudying Experience Hiwi Tim Betzer, Kilian Holzinger, Johannes Späth, Henning Stubbe 2024
Ulug Varnali Data Processing, Visualization, and Root Cause Analysis of Dynamic Routing Algorithms BA Florian Wiedner, Johannes Späth 2024
Angelo Kleinert Assessing the Energy Consumption of QUIC IDP Kilian Holzinger, Johannes Späth 2024
Michael Haden Increasing Path Diversity of QUIC using MASQUE and Multipath MA Kilian Holzinger, Johannes Späth, Marcel Kempf 2024

Finished

Author Title Type Advisors Year Links
Dominik Ritzenhoff Implementing Forward Erasure Correction in quic-go IDP Marcel Kempf, Johannes Späth, Kilian Holzinger, Francois Michel 2024
Melanie Demmler Analysis of QUIC’s Acknowledgment Frequency and Proposed Extension Mechanisms BA Marcel Kempf, Johannes Zirngibl, Johannes Späth 2024
David Friedlein pos + LLMs: A Natural Language Interface to Reproducible Testbed Experiments BA Johannes Späth, Sebastian Gallenmüller 2024
Yalım Çağatay Bilgin Digital Twins in Networks: A Comprehensive Tool for Simulation, Analysis, and Real-Time Adaptation MA Christoph Schwarzenberg, Max Helm, Johannes Späth 2024
Simon Tietz Pacing in the QUIC Protocol BA Marcel Kempf, Johannes Späth, Benedikt Jaeger 2024

Publications

2024-12-01 Johannes Späth, Max Helm, Benedikt Jaeger, Georg Carle, “Sim2HW: Modeling Latency Offset Between Network Simulations and Hardware Measurements,” in Proceedings of the 3rd GNNet Workshop: Graph Neural Networking Workshop (GNNet ’24), Los Angeles, CA, USA, Dec. 2024. [Pdf] [Slides] [Homepage] [Rawdata] [DOI] [Bib]