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Adaptive Resource Management (ARM)

Lupe [1]

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... [2]

Team

Lupe [3]

Lauritz [4], Morgan [5], Ilja [6], Kordian [7], Dominik [8], Philipp [9], Jonathan B. [10], and Jonathan W. [11]

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:

  • Resource Allocation for Distributed Processing [12]
  • Scheduling of Data Processing Jobs [13]
  • Auto-Tuning of Scalable Systems [14]
  • Dependable IoT Systems [15]

Recent Publications

next >> [32]

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 [36]. Proceedings of the 2012 10th International Conference on Creating, Connecting and Collaborating Through Computing. IEEE Computer Society, 45–52.


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 [37]. Proceedings of the 10th ACM Symposium on Dynamic Languages. ACM, 113–124.


Thamsen, Lauritz and Steinert, Bastian and Hirschfeld, Robert (2015). Preserving Access to Previous System States in the Lively Kernel [38]. Design Thinking Research. Springer, 235–264.


next >> [55]

Contact

Lauritz Thamsen
+49 30 314-24539
TEL
Room 1210
e-mail query [56]
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