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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

Siling Chen, Florian Brokhausen, Philipp Wiesner, Lauritz Thamsen, and Andrea Cominola (2021). Assessing the Resilience of Water Distribution Networks Under Different Sensor Network Architectures and Data Sampling Frequencies. Proceedings of the 2nd International Symposium on Water System Operations (ISWSO). IAHR, 1-2.


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.


Thamsen, Lauritz and Gulenko, Anton and Perscheid, Michael and Krahn, Robert and Hirschfeld, Robert and Thomas, David A. (2012). Orca: A Single-Language Web Framework for Collaborative Development. Proceedings of the 2012 10th International Conference on Creating, Connecting and Collaborating Through Computing. IEEE Computer Society, 45–52.


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Contact

Lauritz Thamsen
+49 30 314-24539
TEL
Room 1210