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

Scheinert, Dominik and Alamgiralem, Alireza and Bader, Jonathan and Will, Jonathan and Wittkopp, Thorsten and Thamsen, Lauritz (2021). On the Potential of Execution Traces for Batch Processing Workload Optimization in Public Clouds. 2021 IEEE International Conference on Big Data. IEEE, to appear.


Renner, Thomas and Thamsen, Lauritz and Kao, Odej (2015). Network-Aware Resource Management for Scalable Data Analytics Frameworks. Proceedings of the 1st First Workshop on Data-Centric Infrastructure for Big Data Science (DIBS), co-located with the 2015 IEEE International Conference on BigData. IEEE, 2793–2800.


Renner, Thomas and Thamsen, Lauritz and Kao, Odej (2016). CoLoc: Distributed Data and Container Colocation for Data-Intensive Applications. In the Proceedings of the 2016 IEEE International Conference on Big Data (BigData). IEEE, 3008–3015.


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