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TU Berlin

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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

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.


Thamsen, Lauritz and Renner, Thomas and Kao, Odej (2016). Continuously Improving the Resource Utilization of Iterative Parallel Dataflows. In the Proceedings of the IEEE International Conference on Distributed Computing Systems Workshops (ICDCSW). IEEE, 1–6.


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.


Zusatzinformationen / Extras

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Contact

Lauritz Thamsen
+49 30 314-24539
TEL
Room 1210