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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

Gontarska, Kordian and Wrazen, Weronika and Beilharz, Jossekin and Schmid, Robert and Thamsen, Lauritz and Polze, Andreas (2021). Predicting Medical Interventions from Vital Parameters: Towards a Decision Support System for Remote Patient Monitoring. 19th Conference on Artificial Intelligence in Medicine (AIME'21), 293-297.


Gontarska, Kordian and Geldenhuys, Morgan and Scheinert, Dominik and Wiesner, Philipp and Polze, Andreas and Thamsen, Lauritz (2021). Evaluation of Load Prediction Techniques for Distributed Stream Processing. International Conference on Cloud Engineering. IEEE, 91-98.


Ilja Behnke, Philipp Wiesner, Robert Danicki, and Lauritz Thamsen (2022). A Priority-Aware Multiqueue NIC Design for Real-Time IoT Devices. The 37th ACM/SIGAPP Symposium on Applied Computing (SAC '22). ACM.


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Contact

Lauritz Thamsen
+49 30 314-24539
TEL
1210