Projects

MicroGenerator is a novel framework designed to unlock the potential of transfer learning for microservice architectures. By automating the creation and benchmarking of synthetic microservice applications using a library of reusable building blocks, it addresses the lack of large training datasets—a key barrier to applying transfer learning in areas like autoscaling, energy-efficient placement, and resource saturation detection.

The Minerva project focuses on predicting both transient and steady-state performance of microservice applications in container orchestration environments, such as those managed by Kubernetes. By developing new models, simulation algorithms, and benchmarks, as well as treating adaptation mechanisms of container orchestration frameworks as black-boxes, it aims to provide comprehensive and tangible insights into system behaviors and optimization opportunities.

ROOT is an interdisciplinary research project funded by the bidt of the Bavarian Academy of Science and aims to develop a geoinformation portal that can provide timely and targeted information on forest dynamics, local damage events, and biodiversity changes based on satellite data for the entire Bavaria region.

Marie Skłodowska-Curie Actions Staff Exchange Project founded by the European Union

Interdisciplinary Cooperation Project (since 10/2021)

Industrielles Kooperationsprojekt mit der PASS Consulting Group finanziert vom Bayerischen Verbundforschungsprogramm (BayVFP) – Digitalisierung

Interdisciplinary Cooperation Project (since 01/2021)

Cooperation Project with DLR (since 2020)