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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

Will, Jonathan and Arslan, Onur and Bader, Jonathan and Scheinert, Dominik and Thamsen, Lauritz (2021). Training Data Reduction for Performance Models of Data Analytics Jobs in the Cloud. International Conference on Big Data. IEEE, to appear.


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.


Siling Chen, Florian Brokhausen, Philipp Wiesner, Lauritz Thamsen, and Andrea Cominola (2021). Assessing the Resilience of Water Distribution Networks Under Different Sensor Network Architectures and Data Sampling Frequencies. Proceedings of the 2nd International Symposium on Water System Operations (ISWSO). IAHR, 1-2.


Zusatzinformationen / Extras

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Contact

Lauritz Thamsen
+49 30 314-24539
TEL
Room 1210