TU Berlin

Department of Telecommunication SystemsAdaptive Resource Management

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Adaptive Resource Management (ARM)

Lupe

One of the areas we work on in the DOS group is adaptive resource management for data-intensive distributed applications, aiming at systems that automatically adapt to workloads and environments. Learn more...

Research

Aiming to make it easier to run data-intensive applications efficiently on distributed computing infrastructures from small devices to large-scale clusters, we work on adaptive resource management, following an iterative systems research approach.

Current research directions include:

Recent Publications

Tilcher, David Konstantin and Popescu, Florin and Sommer, Harald and Thamsen, Lauritz and Thamsen, Paul Uwe (2021). Control Optimization Through Prediction-Based Wastewater Management. Proceedings of the ASME 2021 Fluids Engineering Division Summer Meeting. ASME, 9.


Ulf Leser, Odej Kao, and others (2021). The Collaborative Research Center FONDA. Datenbank Spektrum. Springer.


Verbitskiy, Ilya and Thamsen, Lauritz and Kao, Odej (2016). When to Use a Distributed Dataflow Engine: Evaluating the Performance of Apache Flink. In the Proceedings of the 2nd IEEE International Conference on Cloud and Big Data Computing (CBDCom). IEEE, 698–705.


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