TU Berlin

Department of Telecommunication SystemsAdaptive Resource Management

Page Content

to Navigation

Adaptive Resource Management (ARM)


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...




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.

David Bermbach, Abhishek Chandra, Chandra Krintz, Aniruddha Gokhale, Aleksander Slominski, Lauritz Thamsen, Everton Cavalcante, Tian Guo, Ivona Brandic, and Rich Wolski (2021). On the Future of Cloud Engineering. Proceedings of the 9th IEEE International Conference on Cloud Engineering (IC2E). IEEE, 264-275.

Felgentreff, Tim and Lincke, Jens and Hirschfeld, Robert and Thamsen, Lauritz (2015). Lively Groups: Shared Behavior in a World of Objects without Classes or Prototypes. In Proceedings of the Future Programming Workshop (FPW) 2015, co-located with the Conference on Object-oriented Programming, Systems, Languages, and Applications (OOPSLA). ACM, 15–22.


Quick Access

Schnellnavigation zur Seite über Nummerneingabe