TU Berlin

Department of Telecommunication SystemsAdaptive Resource Management

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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 Bader, Jonathan and Thamsen, Lauritz (2020). Towards Collaborative Optimization of Cluster Configurations for Distributed Dataflow Jobs. 2020 IEEE International Conference on Big Data. IEEE, 2851–2856.


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.


Will, Jonathan and Arslan, Onur and Bader, Jonathan and Scheinert, Dominik and Thamsen, Lauritz (2021). Training Data Reduction for Performance Models of Data Analytics Jobs in the Cloud. International Conference on Big Data. IEEE, to appear.


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