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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 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.


Jossekin Beilharz, Philipp Wiesner, Arne Boockmeyer, Florian Brokhausen, Ilja Behnke, Robert Schmid, Lukas Pirl, and Lauritz Thamsen (2021). Towards a Staging Environment for the Internet of Things. 2021 IEEE International Conference on Pervasive Computing and Communications Workshops, To appear.


Franz Bender, Jan Jonas Brune, Nick Lauritz Keutel, Ilja Behnke and Lauritz Thamsen (2021). PIERES: A Playground for Network Interrupt Experiments on Real-Time Embedded Systems in the IoT. 2021 ACM/SPEC International Conference on Performance Engineering Companion. ACM, 81-84.


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Contact

Lauritz Thamsen
+49 30 314-24539
TEL
Room 1210