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

Geldenhuys, Morgan and Thamsen, Lauritz and Kao, Odej (2020). Chiron: Optimizing Fault Tolerance in QoS-aware Distributed Stream Processing Jobs. 2020 IEEE International Conference on Big Data, 434–440.

Geldenhuys, Morgan K. and Will, Jonathan and Pfister, Benjamin and Haug, Martin and Scharmann, Alexander and Thamsen, Lauritz (2021). Dependable IoT Data Stream Processing for Monitoring and Control of Urban Infrastructures. IEEE International Conference on Cloud Engineering. IEEE, 244-250.

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.


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