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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

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.


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.


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Contact

Lauritz Thamsen
+49 30 314-24539
TEL
1210