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Publications Lauritz Thamsen

A

Implicit Parallelism Through Deep Language Embedding

Alexandrov, Alexander and Kunft, Andreas and Katsifodimos, Asterios and Schüler, Felix and Thamsen, Lauritz and Kao, Odej and Herb, Tobias and Markl, Volker

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data. ACM, 47–61. 2015

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B

Tarema: Adaptive Resource Allocation for Scalable Scientific Workflows in Heterogeneous Clusters

Bader, Jonathan and Thamsen, Lauritz and Kulagina, Svetlana and Will, Jonathan and Meyerhenke, Henning and Kao, Odej

2021 IEEE International Conference on Big Data. IEEE, to appear. 2021

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LOS: Local-Optimistic Scheduling of Periodic Model Training For Anomaly Detection on Sensor Data Streams in Meshed Edge Networks

Soeren Becker and Florian Schmidt and Lauritz Thamsen and Ana Juan Ferrer and Odej Kao

IEEE International Conference on Autonomic Computing and Self-Organizing Systems. IEEE, to appear. 2021

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Héctor: A Framework for Testing IoT Applications Across Heterogeneous Edge and Cloud Testbeds

Behnke, Ilja and Thamsen, Lauritz and Kao, Odej

12th IEEE/ACM International Conference on Utility and Cloud Computing Companion. ACM, 15–20. 2019

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Interrupting Real-Time IoT Tasks: How Bad Can It Be to Connect Your Critical Embedded System to the Internet?

Behnke, Ilja and Pirl, Lukas and Thamsen, Lauritz and Danicki, Robert and Polze, Andreas and Kao, Odej

IPCCC 2020: 39th International Performance Computing and Communications Conference, 1-6. 2020

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AuctionWhisk: Using an Auction-Inspired Approach for Function Placement in Serverless Fog Platforms

Bermbach, David and Bader, Jonathan and Hasenburg, Jonathan and Pfandzelter, Tobias and Thamsen, Lauritz

Software: Practice and Experience. Wiley, to appear. 2021

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D

Detecting and Mitigating Network Packet Overloads on Real-Time Devices in IoT Systems

Danicki, Robert and Haug, Martin and Behnke, Ilja and Mädje, Laurenz and Thamsen, Lauritz

4th International Workshop on Edge Systems, Analytics and Networking (EdgeSys'21), 25-30. 2021

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On the Future of Cloud Engineering

David Bermbach, Abhishek Chandra, Chandra Krintz, Aniruddha Gokhale, Aleksander Slominski, Lauritz Thamsen, Everton Cavalcante, Tian Guo, Ivona Brandic, and Rich Wolski

Proceedings of the 9th IEEE International Conference on Cloud Engineering (IC2E). IEEE, to appear. 2021

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F

Lively Groups: Shared Behavior in a World of Objects without Classes or Prototypes

Felgentreff, Tim and Lincke, Jens and Hirschfeld, Robert and Thamsen, Lauritz

In Proceedings of the Future Programming Workshop (FPW) 2015, co-located with the Conference on Object-oriented Programming, Systems, Languages, and Applications (OOPSLA). ACM, 15–22. 2015

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Towards a Cognitive Compute Continuum: An Architecture for Ad-Hoc Self-Managed Swarms

Ferrer, Ana Juan and Becker, Soeren and Schmidt, Florian and Thamsen, Lauritz and Kao, Odej

Workshop Proceedings of the 21st IEEE/ACM international Symposium on Cluster, Cloud and Internet Computing. IEEE, To appear. 2021

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PIERES: A Playground for Network Interrupt Experiments on Real-Time Embedded Systems in the IoT

Franz Bender, Jan Jonas Brune, Nick Lauritz Keutel, Ilja Behnke and Lauritz Thamsen

2021 ACM/SPEC International Conference on Performance Engineering Companion. ACM, 81-84. 2021

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Dependable IoT Data Stream Processing for Monitoring and Control of Urban Infrastructures

Geldenhuys, Morgan K. and Will, Jonathan and Pfister, Benjamin and Haug, Martin and Scharmann, Alexander and Thamsen, Lauritz

IEEE International Conference on Cloud Engineering. IEEE, to appear. 2021

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Effectively Testing System Configurations of Critical IoT Analytics Pipelines

Geldenhuys, Morgan K. and Thamsen, Lauritz and Gontarska, Kain Kordian and Lorenz, Felix and Kao, Odej

2019 IEEE International Conference on Big Data. IEEE, 4157–4162. 2019

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Chiron: Optimizing Fault Tolerance in QoS-aware Distributed Stream Processing Jobs

Geldenhuys, Morgan and Thamsen, Lauritz and Kao, Odej

2020 IEEE International Conference on Big Data, 434–440. 2020

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Evaluation of Load Prediction Techniques for Distributed Stream Processing

Gontarska, Kordian and Geldenhuys, Morgan and Scheinert, Dominik and Wiesner, Philipp and Polze, Andreas and Thamsen, Lauritz

International Conference on Cloud Engineering. IEEE, to appear. 2021

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Predicting Medical Interventions from Vital Parameters: Towards a Decision Support System for Remote Patient Monitoring

Gontarska, Kordian and Wrazen, Weronika and Beilharz, Jossekin and Schmid, Robert and Thamsen, Lauritz and Polze, Andreas

19th Conference on Artificial Intelligence in Medicine (AIME'21), 293-297. 2021

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Predicting Medical Interventions from Vital Parameters: Towards a Decision Support System for Remote Patient Monitoring

Gontarska, Kordian and Wrazen, Weronika and Beilharz, Jossekin and Schmid, Robert and Thamsen, Lauritz and Polze, Andreas

International Conference on Artificial Intelligence in Medicine, 293–297. 2021

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H

Aura: A Flexible Dataflow Engine for Scalable Data Processing

Herb, Tobias, and Thamsen, Lauritz and Renner, Thomas and Kao, Odej

Tools for High Performance Computing 2015: Proceedings of the 9th International Workshop on Parallel Tools for High Performance Computing, September 2015, Dresden, Germany. Springer, 117–126. 2016

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J

Scheduling Stream Processing Tasks on Geo-Distributed Heterogeneous Resources

Janßen, Gerrit and Verbitskiy, Ilya and Renner, Thomas and Thamsen, Lauritz

2018 IEEE International Conference on Big Data. IEEE, 5159–5164. 2018

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Towards a Staging Environment for the Internet of Things

Jossekin Beilharz, Philipp Wiesner, Arne Boockmeyer, Florian Brokhausen, Ilja Behnke, Robert Schmid, Lukas Pirl, and Lauritz Thamsen

2021 IEEE International Conference on Pervasive Computing and Communications Workshops, To appear. 2021

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K

SMiPE: Estimating the Progress of Recurring Iterative Distributed Dataflows

Koch, Jannis and Thamsen, Lauritz and Schmidt, Florian and Kao, Odej

The 18th International Conference on Parallel and Distributed Computing, Applications and Technologies. IEEE, 156–163. 2017

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Scheduling Recurring Distributed Dataflow Jobs Based on Resource Utilization and Interference

Lauritz Thamsen, Benjamin Rabier, Florian Schmidt, Thomas Renner, and Odej Kao

In the Proceedings of the 6th 2017 IEEE International Congress on Big Data (BigData Congress 2017). IEEE, 145–152. 2017

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Mary, Hugo, and Hugo*: Learning to Schedule Distributed Data-Parallel Processing Jobs on Shared Clusters

Lauritz Thamsen, Jossekin Beilharz, Vinh Thuy Tran, Sasho Nedelkoski, and Odej Kao

Concurrency and Computation: Practice and Experience. Wiley, e5823. 2020

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Fingerprinting Analog IoT Sensors for Secret-Free Authentication

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 29th International Conference on Computer Communications and Networks (ICCCN). IEEE, 1–6. 2020

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A Scalable and Dependable Data Analytics Platform for Water Infrastructure Monitoring

Lorenz, Felix and Geldenhuys, Morgan and Sommer, Harald and Jakobs, Frauke and Lüring, Carsten and Skwarek, Volker and Behnke, Ilja and Thamsen, Lauritz

2020 IEEE International Conference on Big Data. IEEE, 3488–3493. 2020

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M

GRAL: Localization of Floating Wireless Sensors in Pipe Networks

Martin Haug, Felix Lorenz, and Lauritz Thamsen

Proceedings of the 9th IEEE International Conference on Cloud Engineering (IC2E). IEEE, to appear. 2021

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N

Multilayer Active Learning for Efficient Learning and Resource Usage in Distributed IoT Architectures

Nedelkoski, Sasho and Thamsen, Lauritz and Verbitskiy, Ilya and Kao, Odej

2019 IEEE International Conference on Edge Computing (EDGE). IEEE, 8–12. 2019

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O

Exploratory Authoring of Interactive Content in a Live Environment (Technical Report)

Otto, Philipp and Pollak, Jaqueline and Werner, Daniel and Wolff, Felix and Steinert, Bastian and Thamsen, Lauritz and Taeumel, Marcel and Lincke, Jens and Krahn, Robert and Ingalls, Daniel H. H. and Hirschfeld, Robert

Technical Report. Hasso Plattner Institute. 2016

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Rafiki: Task-level Capacity Planning in Distributed Stream Processing Systems

Pfister, Benjamin JJ and Lickefett, Wolf S and Nitschke, Jan and Paul, Sumit and Geldenhuys, Morgan K and Scheinert, Dominik and Gontarska, Kordian and Thamsen, Lauritz

International European Conference on Parallel and Distributed Computing. Springer, to appear. 2021

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R

Network-Aware Resource Management for Scalable Data Analytics Frameworks

Renner, Thomas and Thamsen, Lauritz and Kao, Odej

Proceedings of the 1st First Workshop on Data-Centric Infrastructure for Big Data Science (DIBS), co-located with the 2015 IEEE International Conference on BigData. IEEE, 2793–2800. 2015

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CoLoc: Distributed Data and Container Colocation for Data-Intensive Applications

Renner, Thomas and Thamsen, Lauritz and Kao, Odej

In the Proceedings of the 2016 IEEE International Conference on Big Data (BigData). IEEE, 3008–3015. 2016

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Adaptive Resource Management for Distributed Data Analytics based on Container-level Cluster Monitoring

Thomas Renner and Lauritz Thamsen and Odej Kao

Proceedings of the 6th International Conference on Data Science, Technology and Applications - Volume 1: DATA,. SciTePress, 38–47. 2017

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Addressing Hadoop's Small File Problem With an Appendable Archive File Format

Renner, Thomas and Müller, Johannes and Thamsen, Lauritz and Kao, Odej

Proceedings of the Computing Frontiers Conference. ACM, 367–372. 2017

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S

Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs using Graph Propagation

Scheinert, Dominik and Zhu, Houkun and Thamsen, Lauritz and Geldenhuys, Morgan K. and Will, Jonathan and Acker, Alexander and Kao, Odej

40th IEEE International Performance Computing and Communications Conference. IEEE, to appear. 2021

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On the Potential of Execution Traces for Batch Processing Workload Optimization in Public Clouds

Scheinert, Dominik and Alamgiralem, Alireza and Bader, Jonathan and Will, Jonathan and Wittkopp, Thorsten and Thamsen, Lauritz

2021 IEEE International Conference on Big Data. IEEE, to appear. 2021

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Learning Dependencies in Distributed Cloud Applications to Identify and Localize Anomalies

Scheinert, Dominik and Acker, Alexander and Thamsen, Lauritz and Geldenhuys, Morgan K. and Kao, Odej

Workshop Proceedings of the 43th International Conference on Software Engineering, 7-12. 2021

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Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts

Scheinert, Dominik and Thamsen, Lauritz and Zhu, Houkun and Will, Jonathan and Acker, Alexander and Wittkopp, Thorsten and Kao, Odej

2021 IEEE International Conference on Cluster Computing (CLUSTER). IEEE, 261-270. 2021

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Assessing the Resilience of Water Distribution Networks Under Different Sensor Network Architectures and Data Sampling Frequencies

Siling Chen, Florian Brokhausen, Philipp Wiesner, Lauritz Thamsen, and Andrea Cominola

Proceedings of the 2nd International Symposium on Water System Operations (ISWSO). IAHR, 1-2. 2021

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Object Versioning to Support Recovery Needs: Using Proxies to Preserve Previous Development States in Lively

Steinert, Bastian and Thamsen, Lauritz and Felgentreff, Tim and Hirschfeld, Robert

Proceedings of the 10th ACM Symposium on Dynamic Languages. ACM, 113–124. 2014

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T

Orca: A Single-Language Web Framework for Collaborative Development

Thamsen, Lauritz and Gulenko, Anton and Perscheid, Michael and Krahn, Robert and Hirschfeld, Robert and Thomas, David A.

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

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Preserving Access to Previous System States in the Lively Kernel

Thamsen, Lauritz and Steinert, Bastian and Hirschfeld, Robert

Design Thinking Research. Springer, 235–264. 2015

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Continuously Improving the Resource Utilization of Iterative Parallel Dataflows

Thamsen, Lauritz and Renner, Thomas and Kao, Odej

In the Proceedings of the IEEE International Conference on Distributed Computing Systems Workshops (ICDCSW). IEEE, 1–6. 2016

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Selecting Resources for Distributed Dataflow Systems According to Runtime Targets

Thamsen, Lauritz and Verbitskiy, Ilya and Schmidt, Florian and Renner, Thomas and Kao, Odej

In the Proceedings of the 35th IEEE International Performance Computing and Communications Conference (IPCCC). IEEE, 1–8. 2016

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Visually Programming Dataflows for Distributed Data Analytics

Thamsen, Lauritz and Renner, Thomas and Byfeld, Marvin and Paeschke, Markus and Schröder, Daniel and Böhm, Felix

In the Proceedings of the 2016 IEEE International Conference on Big Data (BigData). IEEE, 2276–2285. 2016

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Ellis: Dynamically Scaling Distributed Dataflows to Meet Runtime Targets

Thamsen, Lauritz and Verbitskiy, Ilya and Beilharz, Jossekin and Renner, Thomas and Polze, Andreas and Kao, Odej

Proceedings of the 2017 IEEE 9th International Conference on Cloud Computing Technology and Science. IEEE, 146–153. 2017

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Adaptive Resource Management for Distributed Data Analytics

Thamsen, Lauritz and Renner, Thomas and Verbitskiy, Ilya and Kao, Odej

Advances in Parallel Computing – Big Data and HPC: Ecosystem and Convergence. IOS Press, 155–170. 2018

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Learning Efficient Co-locations for Scheduling Distributed Dataflows in Shared Clusters

Thamsen, Lauritz and Verbitskiy, Ilya and Rabier, Benjamin and Kao, Odej

Services Transactions on Big Data. Services Society, 1–15. 2018

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Publications

Thamsen, Lauritz and Verbitskiy, Ilya and Nedelkoski, Sasho and Tran, Vinh Thuy and Meyer, Vinicius and Xavier, Miguel G. and Kao, Odej and De Rose, Cesar A. F.

Euro-Par 2019: Parallel Processing Workshops. Springer, 519–530. 2019

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Control Optimization Through Prediction-Based Wastewater Management

Tilcher, David Konstantin and Popescu, Florin and Sommer, Harald and Thamsen, Lauritz and Thamsen, Paul Uwe

Proceedings of the ASME 2021 Fluids Engineering Division Summer Meeting. ASME, 9. 2021

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When to Use a Distributed Dataflow Engine: Evaluating the Performance of Apache Flink

Verbitskiy, Ilya and Thamsen, Lauritz and Kao, Odej

In the Proceedings of the 2nd IEEE International Conference on Cloud and Big Data Computing (CBDCom). IEEE, 698–705. 2016

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