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TU Berlin

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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...

Team

Lupe

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

Thamsen, Lauritz and Verbitskiy, Ilya and Nedelkoski, Sasho and Tran, Vinh Thuy and Meyer, Vinicius and Xavier, Miguel G. and Kao, Odej and De Rose, Cesar A. F. (2019). . Euro-Par 2019: Parallel Processing Workshops. Springer, 519–530.


Thamsen, Lauritz and Scheinert, Dominik and Will, Jonathan and Bader, Jonathan and Kao, Odej (2022). Collaborative Cluster Configuration for Distributed Data-Parallel Processing: A Research Overview. Datenbank-Spektrum. Springer.


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.


Zusatzinformationen / Extras

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Contact

Lauritz Thamsen
+49 30 314-24539
TEL
1210