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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

Danicki, Robert and Haug, Martin and Behnke, Ilja and Mädje, Laurenz and Thamsen, Lauritz (2021). Detecting and Mitigating Network Packet Overloads on Real-Time Devices in IoT Systems. 4th International Workshop on Edge Systems, Analytics and Networking (EdgeSys'21), 25-30.


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.


Will, Jonathan and Thamsen, Lauritz and Scheinert, Dominik and Bader, Jonathan and Kao, Odej (2021). C3O: Collaborative Cluster Configuration Optimization for Distributed Data Processing in Public Clouds. International Conference on Cloud Engineering. IEEE, 43-52.


Zusatzinformationen / Extras

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Contact

Lauritz Thamsen
+49 30 314-24539
TEL
Room 1210