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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

Lorenz, Felix and Geldenhuys, Morgan and Sommer, Harald and Jakobs, Frauke and L├╝ring, Carsten and Skwarek, Volker and Behnke, Ilja and Thamsen, Lauritz (2020). A Scalable and Dependable Data Analytics Platform for Water Infrastructure Monitoring. 2020 IEEE International Conference on Big Data. IEEE, 3488–3493.


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.


Will, Jonathan and Bader, Jonathan and Thamsen, Lauritz (2020). Towards Collaborative Optimization of Cluster Configurations for Distributed Dataflow Jobs. 2020 IEEE International Conference on Big Data. IEEE, 2851–2856.


Zusatzinformationen / Extras

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Contact

Lauritz Thamsen
+49 30 314-24539
TEL
1210