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ARM Publications

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

Publications

Geldenhuys, Morgan K. and Will, Jonathan and Pfister, Benjamin and Haug, Martin and Scharmann, Alexander and Thamsen, Lauritz (2021). Dependable IoT Data Stream Processing for Monitoring and Control of Urban Infrastructures. IEEE International Conference on Cloud Engineering. IEEE, 244-250.


Gontarska, Kordian and Wrazen, Weronika and Beilharz, Jossekin and Schmid, Robert and Thamsen, Lauritz and Polze, Andreas (2021). Predicting Medical Interventions from Vital Parameters: Towards a Decision Support System for Remote Patient Monitoring. 19th Conference on Artificial Intelligence in Medicine (AIME'21), 293-297.


Gontarska, Kordian and Geldenhuys, Morgan and Scheinert, Dominik and Wiesner, Philipp and Polze, Andreas and Thamsen, Lauritz (2021). Evaluation of Load Prediction Techniques for Distributed Stream Processing. International Conference on Cloud Engineering. IEEE, 91-98.


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.


Jossekin Beilharz, Philipp Wiesner, Arne Boockmeyer, Florian Brokhausen, Ilja Behnke, Robert Schmid, Lukas Pirl, and Lauritz Thamsen (2021). Towards a Staging Environment for the Internet of Things. 2021 IEEE International Conference on Pervasive Computing and Communications Workshops, To appear.


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.


Lauritz Thamsen, Jossekin Beilharz, Vinh Thuy Tran, Sasho Nedelkoski, and Odej Kao (2020). Mary, Hugo, and Hugo*: Learning to Schedule Distributed Data-Parallel Processing Jobs on Shared Clusters. Concurrency and Computation: Practice and Experience. Wiley, e5823.


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.


Lorenz, Felix and Thamsen, Lauritz and Wilke, Andreas and Behnke, Ilja and Waldmüller-Littke, Jens and Komarov, Ilya and Kao, Odej and Paeschke, Manfred (2020). Fingerprinting Analog IoT Sensors for Secret-Free Authentication. 2020 29th International Conference on Computer Communications and Networks (ICCCN). IEEE, 1–6.


Lorenz, Felix and Geldenhuys, Morgan and Sommer, Harald and Jakobs, Frauke and Lüring, Carsten and Skwarek, Volker and Behnke, Ilja and Thamsen, Lauritz (2020). A Scalable and Dependable Data Analytics Platform for Water Infrastructure Monitoring. 2020 IEEE International Conference on Big Data. IEEE, 3488–3493.


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Contact

Lauritz Thamsen
+49 30 314-24539
TEL
Room 1210