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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

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.


Geldenhuys, Morgan K. and Scheinert, Dominik and Kao, Odej and Thamsen, Lauritz (2022). Phoebe: QoS-Aware Distributed Stream Processing through Anticipating Dynamic Workloads. IEEE International Conference on Web Services (ICWS). IEEE, to appear.


Geldenhuys, Morgan K. and Pfister, Ben and Scheinert, Dominik and Thamsen, Lauritz and Kao, Odej (2022). Khaos: Dynamically Optimizing Checkpointing for Dependable Distributed Stream Processing. Conference on Computer Science and Intelligence Systems (FedCSIS). IEEE, to appear.


Zusatzinformationen / Extras

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Contact

Lauritz Thamsen
+49 30 314-24539
TEL
1210