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

Will, Jonathan and Thamsen, Lauritz and Scheinert, Dominik and Bader, Jonathan and Kao, Odej (2021). C3O: Collaborative Cluster Configuration Optimization for Distributed Data Processing in Public Clouds. International Conference on Cloud Engineering. IEEE, 43-52.


Lauritz Thamsen, Jossekin Beilharz, Vinh Thuy Tran, Sasho Nedelkoski, and Odej Kao (2020). Mary, Hugo, and Hugo*: Learning to Schedule Distributed Data-Parallel Processing Jobs on Shared Clusters. Concurrency and Computation: Practice and Experience. Wiley, e5823.


Ulf Leser, Odej Kao, and others (2021). The Collaborative Research Center FONDA. Datenbank Spektrum. Springer.


Navigation

Quick Access

Schnellnavigation zur Seite über Nummerneingabe