direkt zum Inhalt springen

direkt zum Hauptnavigationsmenü

Sie sind hier

TU Berlin

Inhalt des Dokuments

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

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.


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.


Geldenhuys, Morgan K. and Thamsen, Lauritz and Gontarska, Kain Kordian and Lorenz, Felix and Kao, Odej (2019). Effectively Testing System Configurations of Critical IoT Analytics Pipelines. 2019 IEEE International Conference on Big Data. IEEE, 4157–4162.


Zusatzinformationen / Extras

Quick Access:

Schnellnavigation zur Seite über Nummerneingabe

Auxiliary Functions

Contact

Lauritz Thamsen
+49 30 314-24539
TEL
Room 1210