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

Thamsen, Lauritz and Verbitskiy, Ilya and Rabier, Benjamin and Kao, Odej (2018). Learning Efficient Co-locations for Scheduling Distributed Dataflows in Shared Clusters. Services Transactions on Big Data. Services Society, 1–15.


Thamsen, Lauritz and Verbitskiy, Ilya and Nedelkoski, Sasho and Tran, Vinh Thuy and Meyer, Vinicius and Xavier, Miguel G. and Kao, Odej and De Rose, Cesar A. F. (2019). . Euro-Par 2019: Parallel Processing Workshops. Springer, 519–530.


Steinert, Bastian and Thamsen, Lauritz and Felgentreff, Tim and Hirschfeld, Robert (2014). Object Versioning to Support Recovery Needs: Using Proxies to Preserve Previous Development States in Lively. Proceedings of the 10th ACM Symposium on Dynamic Languages. ACM, 113–124.


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