direkt zum Inhalt springen

direkt zum Hauptnavigationsmenü

Sie sind hier

TU Berlin

Page Content

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

Geldenhuys, Morgan K. and Pfister, Ben and Scheinert, Dominik and Thamsen, Lauritz and Kao, Odej (2022). Khaos: Dynamically Optimizing Checkpointing for Dependable Distributed Stream Processing. Conference on Computer Science and Intelligence Systems (FedCSIS). IEEE, to appear.


Toll, Markus and Behnke, Ilja and Kao, Odej (2022). IoTreeplay: Synchronous Distributed Traffic Replay in IoT Environments. 2022 IEEE International Conference on Cloud Engineering (IC2E). IEEE, in print.


Bader, Jonathan and Lehmann, Fabian and Groth, Alexander and Thamsen, Lauritz and Scheinert, Dominik and Will, Jonathan and Leser, Ulf and Kao, Odej (2022). Reshi: Recommending Resources for Scientific Workflow Tasks on Heterogeneous Infrastructures. 41th International Performance Computing and Communications Conference 2022. IEEE, to appear.


Zusatzinformationen / Extras

Quick Access:

Schnellnavigation zur Seite über Nummerneingabe

Auxiliary Functions

Contact

Lauritz Thamsen
+49 30 314-24539
TEL
1210