TU Berlin

Department of Telecommunication SystemsAdaptive Resource Management

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Adaptive Resource Management (ARM)


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...




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

Scheinert, Dominik and Becker, Soeren and Bader, Jonathan and Thamsen, Lauritz and Will, Jonathan and Kao, Odej (2022). Perona: Robust Infrastructure Fingerprinting for Resource-Efficient Big Data Analytics. IEEE International Conference on Big Data (BigData). IEEE, to appear.

Scheinert, Dominik and Aghdam, Babak Sistani Zadeh and Becker, Soeren and Kao, Odej and Thamsen, Lauritz (2022). Probabilistic Time Series Forecasting for Adaptive Monitoring in Edge Computing Environments. IEEE International Conference on Big Data (BigData). IEEE, to appear.

Thamsen, Lauritz and Gulenko, Anton and Perscheid, Michael and Krahn, Robert and Hirschfeld, Robert and Thomas, David A. (2012). Orca: A Single-Language Web Framework for Collaborative Development. Proceedings of the 2012 10th International Conference on Creating, Connecting and Collaborating Through Computing. IEEE Computer Society, 45–52.


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