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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

Wiesner, Philipp and Scheinert, Dominik and Wittkopp, Thorsten and Thamsen, Lauritz and Kao, Odej (2022). Cucumber: Renewable-Aware Admission Control for Delay-Tolerant Cloud and Edge Workloads. 28th International European Conference on Parallel and Distributed Computing (Euro-Par). Springer, to appear.


Christoph Blumschein, Ilja Behnke, Lauritz Thamsen, and Odej Kao (2022). Differentiating Network Flows for Priority-Aware Scheduling of Incoming Packets in Real-Time IoT Systems. 2022 IEEE 25th International Symposium on Real-Time Distributed Computing (ISORC)


Ilja Behnke, Philipp Wiesner, Robert Danicki, and Lauritz Thamsen (2022). A Priority-Aware Multiqueue NIC Design for Real-Time IoT Devices. The 37th ACM/SIGAPP Symposium on Applied Computing (SAC '22). ACM.


Zusatzinformationen / Extras

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Contact

Lauritz Thamsen
+49 30 314-24539
TEL
Room 1210