TU Berlin

Department of Telecommunication SystemsAdaptive Resource Management

Page Content

to Navigation

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

Gontarska, Kordian and Geldenhuys, Morgan and Scheinert, Dominik and Wiesner, Philipp and Polze, Andreas and Thamsen, Lauritz (2021). Evaluation of Load Prediction Techniques for Distributed Stream Processing. International Conference on Cloud Engineering. IEEE, 91-98.


Jan├čen, Gerrit and Verbitskiy, Ilya and Renner, Thomas and Thamsen, Lauritz (2018). Scheduling Stream Processing Tasks on Geo-Distributed Heterogeneous Resources. 2018 IEEE International Conference on Big Data. IEEE, 5159–5164.


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.


Navigation

Quick Access

Schnellnavigation zur Seite über Nummerneingabe