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ARM Publications

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

Publications

Wiesner, Philipp and Scheinert, Dominik and Wittkopp, Thorsten and Thamsen, Lauritz and Kao, Odej (2022). Cucumber: Renewable-Aware Admission Control for Delay-Tolerant Cloud and Edge Workloads. 28th International European Conference on Parallel and Distributed Computing (Euro-Par). Springer, to appear.


Christoph Blumschein, Ilja Behnke, Lauritz Thamsen, and Odej Kao (2022). Differentiating Network Flows for Priority-Aware Scheduling of Incoming Packets in Real-Time IoT Systems. 2022 IEEE 25th International Symposium on Real-Time Distributed Computing (ISORC)


Ilja Behnke, Philipp Wiesner, Robert Danicki, and Lauritz Thamsen (2022). A Priority-Aware Multiqueue NIC Design for Real-Time IoT Devices. The 37th ACM/SIGAPP Symposium on Applied Computing (SAC '22). ACM.


Scheinert, Dominik and Alamgiralem, Alireza and Bader, Jonathan and Will, Jonathan and Wittkopp, Thorsten and Thamsen, Lauritz (2021). On the Potential of Execution Traces for Batch Processing Workload Optimization in Public Clouds. 2021 IEEE International Conference on Big Data. IEEE, to appear.


Bader, Jonathan and Thamsen, Lauritz and Kulagina, Svetlana and Will, Jonathan and Meyerhenke, Henning and Kao, Odej (2021). Tarema: Adaptive Resource Allocation for Scalable Scientific Workflows in Heterogeneous Clusters. 2021 IEEE International Conference on Big Data. IEEE, to appear.


Bermbach, David and Bader, Jonathan and Hasenburg, Jonathan and Pfandzelter, Tobias and Thamsen, Lauritz (2021). AuctionWhisk: Using an Auction-Inspired Approach for Function Placement in Serverless Fog Platforms. Software: Practice and Experience. Wiley, to appear.


Wiesner, Philipp and Behnke, Ilja and Scheinert, Dominik and Gontarska, Kordian and Thamsen, Lauritz (2021). Let's Wait Awhile: How Temporal Workload Shifting Can Reduce Carbon Emissions in the Cloud. 22nd International Middleware Conference (Middleware). ACM.


Scheinert, Dominik and Zhu, Houkun and Thamsen, Lauritz and Geldenhuys, Morgan K. and Will, Jonathan and Acker, Alexander and Kao, Odej (2021). Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs using Graph Propagation. 40th IEEE International Performance Computing and Communications Conference. IEEE, to appear.


Scheinert, Dominik and Thamsen, Lauritz and Zhu, Houkun and Will, Jonathan and Acker, Alexander and Wittkopp, Thorsten and Kao, Odej (2021). Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts. 2021 IEEE International Conference on Cluster Computing (CLUSTER). IEEE, 261-270.


Ulf Leser, Odej Kao, and others (2021). The Collaborative Research Center FONDA. Datenbank Spektrum. Springer.


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Lauritz Thamsen
+49 30 314-24539
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Room 1210