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Publications Lauritz Thamsen

2019

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, To appear. 2019

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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, To appear. 2019

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Hugo: A Cluster Scheduler that Efficiently Learns to Select Complementary Data-Parallel Jobs

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, To appear. 2019

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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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2018

CoBell: Runtime Prediction for Distributed Dataflow Jobs in Shared Clusters

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

2018 IEEE International Conference on Cloud Computing Technology and Science (CloudCom). IEEE, 81-88. 2018

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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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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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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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2017

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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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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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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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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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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2016

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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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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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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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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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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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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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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2015

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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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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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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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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2014

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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2012

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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