Organization and lecturing


Thesis Supervision

Completed Master’s Theses

  • Stochastic Workload Admission Control based on Probabilistic Forecasts of Compute Capacity and Renewable Excess Energy. Joseph Tannor. 2023.
  • Reducing the Carbon Footprint of Microservice-Based Cloud Applications by Periodically Scaling their Energy Demand. Kevin Kreutz. 2023.
  • Co-Simulation of Edge Computing Environments and Smart Microgrids. Yazan Kittaneh. 2023.
  • Renewable Energy-Aware Scheduling for Federated Learning. Pratik Agrawal. 2022.
  • A Probabilistic Simulator for Solar-Powered Aerial Base Stations. Paniz Shahlaee. 2022.
  • Forecasting Battery Charge Levels in Renewable-Powered IoT Systems. Kenan Skon. 2022.
  • Renewable-Aware Kubernetes Scheduling to Mitigate Carbon Emissions in Distributed Systems. Timo Kraus. 2022.

Completed Bachelor’s Theses

  • A System Architecture for Determining Free Edge Computing Capacity Powered by Renewable Energy. Leo Lierse. 2022.
  • Renewable-Aware Kubernetes Scheduling for Edge Computing. Julian Tochman-Szewc. 2022.
  • A Hardware Testbed for Renewable-Aware Resource Management at the Edge. Marvin Steinke. 2022.
  • Interaktive Visualisierung von Energieverbrauch in Edge- und Fog-Computing-Simulationen (Interactive Visualization of Energy Consumption in Edge and Fog Computing Simulators). Yana Kernerman. 2022.
  • Predicting the State of Charge of Battery-Equipped IoT Devices via Simulation. Mugheera Ahmad. 2022.
  • An Evaluation of Carbon-Aware Geographical Load Shifting Techniques. Liam Brugger. 2021.
  • Vergleich von Ansätzen zur CO2-Einsparung in Fog-Computing-Umgebungen (Comparison of Approaches for Saving CO2 in Fog Computing Environments). Oksana Behrens. 2021.