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

Otto, Philipp and Pollak, Jaqueline and Werner, Daniel and Wolff, Felix and Steinert, Bastian and Thamsen, Lauritz and Taeumel, Marcel and Lincke, Jens and Krahn, Robert and Ingalls, Daniel H. H. and Hirschfeld, Robert (2016). Exploratory Authoring of Interactive Content in a Live Environment (Technical Report). Technical Report. Hasso Plattner Institute.


Pfister, Benjamin JJ and Lickefett, Wolf S and Nitschke, Jan and Paul, Sumit and Geldenhuys, Morgan K and Scheinert, Dominik and Gontarska, Kordian and Thamsen, Lauritz (2021). Rafiki: Task-level Capacity Planning in Distributed Stream Processing Systems. International European Conference on Parallel and Distributed Computing. Springer, 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.


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