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Technische Universität München
Technische Universität München

Marcin Bosk, M.Sc.

E-Mail: bosk [AT] in.tum.de
Phone: +49 89 289-17356 (limited reachability)
Office: 01.05.041
Address:

TUM School of Computation, Information and Technology
Chair of Connected Mobility (I11)
Boltzmannstr. 3
85748 Garching

Marcin is a Researcher and a PhD Student at the Chair of Connected Mobility at Technical University of Munich. He obtained his Bachelor’s (2018) and Master’s (2020) degrees in “Computer Engineering” at the Technical University of Berlin. His research is mostly focused on Time-Sensitive and In-Vehicular networks, with special interest on novel and cross-layer approaches to their realization. He is also interested in the 5G and beyond mobile network architecture, especially considering network slicing and QoE-aware network management. He is furthermore looking into alternative networking approaches such as the Information-Centric Networking concept. 

Research Interests

  • Novel Approaches to In-Vehicular Networks
  • Time Sensitive Networking
  • Discrete Event Simulation (OMNeT++)
  • 5G Mobile Networks and Network Slicing
  • Infromation-Centric Networking

Thesis Topics

If you are interested in an open thesis topic, feel free to get in touch via mail! When applying for a topic, please follow the guidelines from here. You can learn more about the topics by clicking on their title.

Legend: BT = Bachelor Thesis; MT = Master Thesis; IDP = Interdisciplinary Project; GR = Guided Research

Open Topics:

    IDP/GR/BT - Data sources for ICN/NDN traffic in IVNs
  2. IDP/GR/BT - Layer 2 Priority Enforcement in Named-Data Networking for Low-Latency Communication
  3. IDP/GR - Emulation of automotive networking protocols for the Environment for Generic In-vehicle Networking Experiments
  4. IDP/GR/BT - Operating System and Software Optimization for Real-Time and Time-Sensitive Networking Experiments

If you have ideas/interest in a different topic that aligns with my research and research interests, let me know!

In Progress:

    MT - Realization of the QoE-Aware Resource Allocation in 5G RAN using Network Slicing
    • Details on 5G Core QoE-Aware Resource Allocation in publication "Using 5G QoS Mechanisms to Achieve QoE-Aware Resource Allocation" (see below)
    • Focus mostly on network slicing aspect in 5G RAN
    • Co advisor(s): Mehmet Mert Bese, Marija Gajić
  • MT - Real-time Performance Analysis of QoE-aware Resource Allocation
  • MT - Resource Optimized Multi-path Routing For LEO Constellations
  • IDP - Graphical User Interface and Onboard Tool for Experiment Evaluation Framework
    • Prepare a dashboard, graphical confuguration interface, and demo mode for the EnGINE Framework
    • Co advisor(s): Filip Rezabek
  • BT - Impact of Caching on Real-Time Traffic in Information-Centric Networks
    • Investigate and quantify the impact of caching on real-time traffic requirements in ICN
  • BT - Caching support for deterministic, low-latency, communication in Information-Centric Networks​​​​​​
    • Investigate ICN caching that can support deterministic packet delivery in TSN/IVN
  • MT - Realistic Digital Twin for Time-Sensitive Networking Experiments
    • Realism improvement of a Digital Twin with the EnGINE Framework
  • MT - Cyber-Physical Twin for Networking Used in Autonomous Driving
    • Preparation and characterization of TSN data sources based on real-world traffic and sensors
  • MT - Optimizing NDN Implementations for Low-Latency Communication
    • Investigating various NDN implementations and assessing them for use in low-latency networking using EnGINE Framework
  • IDP - GPU Mobility Simulation in OMNeT++
    • Investigating simulation improvements for wireless communication in mobility scenarios using GPUs

Finished:

  • BT - Interaction of rate-limited network interfaces with TSN queuing disciplines
  • IDP - Integration of Security Protocols into an Intra-Vehicle Networks Communication System
  • MT - Modeling and Simulation of TSN-Enabled Experiments and Their Validation in an Emulated Environment
  • BT - Preparation and validation of a custom Linux kernel for Time-Sensitive Networking experiments
    • Author: Pierre Ballif; 2022
    • Create and assess a custom Linux kernel for In-Vehicular Network and Time-Sensitive Networking experiments within the EnGINE framework
  • IDP - Emulation of Network Traffic for Applications in Autonomous Driving

Teaching

Winter Term 2023/24:

Winter Term 2022/23:

Publications

2024:

  • Context Matters: Lessons Learned from Emulated and Simulated TSN Environments
    Third International Workshop on Negative Results in Pervasive Computing (PerFail), 2024.
    Filip Rezabek, Marcin Bosk, Leander Seidlitz, Jörg Ott, Georg Carle
    • Paper (coming soon)
  • The Internet: Only for the Fast?
    Jörg Ott, Giovanni Bartolomeo, Mert Mehmet Bese, Rohan Bose, Marcin Bosk, David Guzman, Ljubica Kärkkäinen, Mike Kosek, Nitinder Mohan, Dirk Trossen, Michael Welzl, Lucas Vogel

2023:

  • EDGAR: An Autonomous Driving Research Platform--From Feature Development to Real-World Application
    Phillip Karle, Tobias Betz, Marcin Bosk, Felix Fent, Nils Gehrke, Maximilian Geisslinger, Luis Gressenbuch, Philipp Hafemann, Sebastian Huber, Maximilian Hübner, Sebastian Huch, Gemb Kaljavesi, Tobias Kerbl, Dominik Kulmer, Tobias Mascetta, Sebastian Maierhofer, Florian Pfab, Filip Rezabek, Esteban Rivera, Simon Sagmeister, Leander Seidlitz, Florian Sauerbeck, Ilir Tahiraj, Rainer Trauth, Nico Uhlemann, Gerald Würsching, Baha Zarrouki, Matthias Althoff, Johannes Betz, Klaus Bengler, Georg Carle, Frank Diermeyer, Jörg Ott, Markus Lienkamp
  • Simulation and Practice: A Hybrid Experimentation Platform for TSN
    IFIP NETWORKING, 2023.
    Marcin Bosk*, Filip Rezabek*, Johannes Abel, Kilian Holzinger, Max Helm, Georg Carle, Jörg Ott
  • TSN Experiments Using COTS Hardware and Open-Source Solutions: Lessons Learned
    Second International Workshop on Negative Results in Pervasive Computing (PerFail), 2023.
    Filip Rezabek*, Marcin Bosk*, Georg Carle, Jörg Ott
    • ! Best Paper Award in Second International Workshop on Negative Results in Pervasive Computing !
    • Paper
    • Slides

2022:

  • Methodology and Infrastructure for TSN-based Reproducible Network Experiments
    IEEE Access, 2022.
    Marcin Bosk*, Filip Rezabek*, Kilian Holzinger, Angela G. Marino, Abdoul A. Kane, Francesc Fons, Jörg Ott, Georg Carle
  • EnGINE: Flexible Research Infrastructure for Reliable and Scalable Time Sensitive Networks
    Journal of Network and Systems Management (JNSM) Special Issue on High Precision, Predictable, Low-Latency Networking, 2022.
    Filip Rezabek*, Marcin Bosk*, Thomas Paul, Kilian Holzinger, Sebastian Gallenmüller, Angela Gonzalez, Abdoul Kane, Francesc Fons, Zhang Haigang, Georg Carle, Jörg Ott
  • Demonstrating QoE-aware 5G Network Slicing Emulated with HTB in OMNeT++
    IEEE International Conference on Computer Communications (INFOCOM), 2022.
    Marija Gajic*, Marcin Bosk*, Susanna Schwarzmann, Stanislav Lange, Thomas Zinner

2021:

  • Demo: Environment for Generic In-Vehicular Network Experiments - EnGINE
    IEEE Vehicular Networking Conference (VNC), 2021.
    Marcin Bosk*, Filip Rezabek*, Kilian Holzinger, Angela Gonzalez, Abdoul Kane, Francesc Fons, Zhang Haigang, Georg Carle, and Jörg Ott
  • EnGINE: Developing a Flexible Research Infrastructure for Reliable and Scalable Intra-Vehicular TSN Networks
    3rd International Workshop on High-Precision, Predictable, and Low-Latency Networking, 2021.
    Filip Rezabek, Marcin Bosk, Thomas Paul, Kilian Holzinger, Sebastian Gallenmüller, Angela Gonzalez, Abdoul Kane, Francesc Fons, Zhang Haigang, Georg Carle, and Jörg Ott.
  • Using 5G QoS Mechanisms to Achieve QoE-Aware Resource Allocation.
    17th International Conference on Network and Service Management (CNSM), 2021.
    Marcin Bosk*, Marija Gajić*, Susanna Schwarzmann, Stanislav Lange, Riccardo Trivisonno, Clarissa Marquezan, and Thomas Zinner.
  • HTBQueue: A Hierarchical Token Bucket Implementation for the OMNeT++/INET Framework. 
    8th OMNeT++ Community Summit, 2021. 
    Marcin Bosk*, Marija Gajić*, Susanna Schwarzmann, Stanislav Lange, and Thomas Zinner.

2019:

  • Estimating Video Streaming QoE in the 5G Architecture Using Machine Learning.
    Internet-QoE'19, 2019.
    Susanna Schwarzmann, Clarissa Cassales Marquezan, Marcin Bosk, Huiran Liu, Riccardo Trivisonno, and Thomas Zinner

* Contributed equally

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