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ARM Publications

Following a list of our publications in our area of research.

Publications

Thamsen, Lauritz and Renner, Thomas and Byfeld, Marvin and Paeschke, Markus and Schröder, Daniel and Böhm, Felix (2016). Visually Programming Dataflows for Distributed Data Analytics. In the Proceedings of the 2016 IEEE International Conference on Big Data (BigData). IEEE, 2276–2285.


Thomas Renner and Lauritz Thamsen and Odej Kao (2017). Adaptive Resource Management for Distributed Data Analytics based on Container-level Cluster Monitoring. Proceedings of the 6th International Conference on Data Science, Technology and Applications - Volume 1: DATA,. SciTePress, 38–47.


Renner, Thomas and Müller, Johannes and Thamsen, Lauritz and Kao, Odej (2017). Addressing Hadoop's Small File Problem With an Appendable Archive File Format. Proceedings of the Computing Frontiers Conference. ACM, 367–372.


Lauritz Thamsen, Benjamin Rabier, Florian Schmidt, Thomas Renner, and Odej Kao (2017). Scheduling Recurring Distributed Dataflow Jobs Based on Resource Utilization and Interference. In the Proceedings of the 6th 2017 IEEE International Congress on Big Data (BigData Congress 2017). IEEE, 145–152.


Thamsen, Lauritz and Verbitskiy, Ilya and Beilharz, Jossekin and Renner, Thomas and Polze, Andreas and Kao, Odej (2017). Ellis: Dynamically Scaling Distributed Dataflows to Meet Runtime Targets. Proceedings of the 2017 IEEE 9th International Conference on Cloud Computing Technology and Science. IEEE, 146–153.


Koch, Jannis and Thamsen, Lauritz and Schmidt, Florian and Kao, Odej (2017). SMiPE: Estimating the Progress of Recurring Iterative Distributed Dataflows. The 18th International Conference on Parallel and Distributed Computing, Applications and Technologies. IEEE, 156–163.


Thamsen, Lauritz and Renner, Thomas and Verbitskiy, Ilya and Kao, Odej (2018). Adaptive Resource Management for Distributed Data Analytics. Advances in Parallel Computing – Big Data and HPC: Ecosystem and Convergence. IOS Press, 155–170.


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.


Verbitskiy, Ilya and Thamsen, Lauritz and Renner, Thomas and Kao, Odej (2018). CoBell: Runtime Prediction for Distributed Dataflow Jobs in Shared Clusters. 2018 IEEE International Conference on Cloud Computing Technology and Science (CloudCom). IEEE, 81–88.


Janßen, Gerrit and Verbitskiy, Ilya and Renner, Thomas and Thamsen, Lauritz (2018). Scheduling Stream Processing Tasks on Geo-Distributed Heterogeneous Resources. 2018 IEEE International Conference on Big Data. IEEE, 5159–5164.


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Contact

Lauritz Thamsen
+49 30 314-24539
TEL
Room 1210