Lauritz Thamsen

154 papers A 2B 24C 15Misc 1Journal 76Unranked 34
YearRankTypeTitle / Venue / Authors
2026 J jnl
A systematic evaluation of the potential of carbon-aware execution for scientific workflows.
Future Gener. Comput. Syst.
Kathleen West, Youssef Moawad, Fabian Lehmann, Vasilis Bountris, Ulf Leser, Yehia Elkhatib, Lauritz Thamsen
2025 J jnl
A Systematic Evaluation of the Potential of Carbon-Aware Execution for Scientific Workflows.
CoRR
Kathleen West, Youssef Moawad, Fabian Lehmann, Vasilis Bountris, Ulf Leser, Yehia Elkhatib, Lauritz Thamsen
2025 J jnl
BeNNS: A Surrogate Model for Hybrid Online-Offline Evolution of SFC Embedding.
CoRR
Theviyanthan Krishnamohan, Lauritz Thamsen, Paul Harvey
2025 J jnl
Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters.
CoRR
Lauritz Thamsen, Yehia Elkhatib, Paul Harvey, Syed Waqar Nabi, Jeremy Singer, Wim Vanderbauwhede
2025 J jnl
Experimentally Evaluating the Resource Efficiency of Big Data Autoscaling.
CoRR
Jonathan Will, Nico Treide, Lauritz Thamsen, Odej Kao
2025 J jnl
Exploring the Potential of Carbon-Aware Execution for Scientific Workflows.
CoRR
Kathleen West, Fabian Lehmann, Vasilis Bountris, Ulf Leser, Yehia Elkhatib, Lauritz Thamsen
2025 J jnl
Flora: Efficient Cloud Resource Selection for Big Data Processing via Job Classification.
CoRR
Jonathan Will, Lauritz Thamsen, Jonathan Bader, Odej Kao
2025 B conf
HyProv: Hybrid Provenance Management for Scientific Workflows.
IEEE Big Data
Vasilis Bountris, Lauritz Thamsen, Ulf Leser
2025 J jnl
HyProv: Hybrid Provenance Management for Scientific Workflows.
CoRR
Vasilis Bountris, Lauritz Thamsen, Ulf Leser
2025 J jnl
Predicting the Performance of Scientific Workflow Tasks for Cluster Resource Management: An Overview of the State of the Art.
CoRR
Jonathan Bader, Kathleen West, Sören Becker, Svetlana Kulagina, Fabian Lehmann, Lauritz Thamsen, Henning Meyerhenke, Odej Kao
2025 J jnl
Simultaneous Genetic Evolution of Neural Networks for Optimal SFC Embedding.
CoRR
Theviyanthan Krishnamohan, Lauritz Thamsen, Paul Harvey
2025 J jnl
Spatio-Temporal Shifting to Reduce Carbon, Water, and Land-Use Footprints of Cloud Workloads.
CoRR
Giulio Attenni, Youssef Moawad, Novella Bartolini, Lauritz Thamsen
2025 J jnl
WOW: Workflow-Aware Data Movement and Task Scheduling for Dynamic Scientific Workflows.
CoRR
Fabian Lehmann, Jonathan Bader, Friedrich Tschirpke, Ninon De Mecquenem, Ansgar Lößer, Sören Becker, Katarzyna Ewa Lewinska, Lauritz Thamsen, Ulf Leser
2024 B conf
Demeter: Resource-Efficient Distributed Stream Processing under Dynamic Loads with Multi-Configuration Optimization.
ICPE
Morgan K. Geldenhuys, Dominik Scheinert, Odej Kao, Lauritz Thamsen
2024 J jnl
Demeter: Resource-Efficient Distributed Stream Processing under Dynamic Loads with Multi-Configuration Optimization.
CoRR
Morgan Geldenhuys, Dominik Scheinert, Odej Kao, Lauritz Thamsen
2024 B conf
Experimentally Evaluating the Resource Efficiency of Big Data Autoscaling.
IEEE Big Data
Jonathan Will, Nico Treide, Lauritz Thamsen, Odej Kao
2024 — conf
FedZero: Leveraging Renewable Excess Energy in Federated Learning.
e-Energy
Philipp Wiesner, Ramin Khalili, Dennis Grinwald, Pratik Agrawal, Lauritz Thamsen, Odej Kao
2024 J jnl
Ichnos: A Carbon Footprint Estimator for Scientific Workflows.
CoRR
Kathleen West, Yehia Elkhatib, Lauritz Thamsen
2024 B conf
KS+: Predicting Workflow Task Memory Usage Over Time.
e-Science
Jonathan Bader, Ansgar Lößer, Lauritz Thamsen, Björn Scheuermann, Odej Kao
2024 J jnl
KS+: Predicting Workflow Task Memory Usage Over Time.
CoRR
Jonathan Bader, Ansgar Lößer, Lauritz Thamsen, Björn Scheuermann, Odej Kao
2024 J jnl
Lotaru: Locally predicting workflow task runtimes for resource management on heterogeneous infrastructures.
Future Gener. Comput. Syst.
Jonathan Bader, Fabian Lehmann, Lauritz Thamsen, Ulf Leser, Odej Kao
2024 B conf
Ponder: Online Prediction of Task Memory Requirements for Scientific Workflows.
e-Science
Fabian Lehmann, Jonathan Bader, Ninon De Mecquenem, Xing Wang, Vasilis Bountris, Florian Friederici, Ulf Leser, Lauritz Thamsen
2024 J jnl
Ponder: Online Prediction of Task Memory Requirements for Scientific Workflows.
CoRR
Fabian Lehmann, Jonathan Bader, Ninon De Mecquenem, Xing Wang, Vasilis Bountris, Florian Friederici, Ulf Leser, Lauritz Thamsen
2024 — conf
Privacy-Preserving Sharing of Data Analytics Runtime Metrics for Performance Modeling.
ICPE (Companion)
Jonathan Will, Dominik Scheinert, Seraphin Zunzer, Jan Bode, Cedric Kring, Lauritz Thamsen
2024 J jnl
Privacy-Preserving Sharing of Data Analytics Runtime Metrics for Performance Modeling.
CoRR
Jonathan Will, Dominik Scheinert, Jan Bode, Cedric Kring, Seraphin Zunzer, Lauritz Thamsen
2024 C conf
Sizey: Memory-Efficient Execution of Scientific Workflow Tasks.
CLUSTER
Jonathan Bader, Fabian Skalski, Fabian Lehmann, Dominik Scheinert, Jonathan Will, Lauritz Thamsen, Odej Kao
2024 J jnl
Sizey: Memory-Efficient Execution of Scientific Workflow Tasks.
CoRR
Jonathan Bader, Fabian Skalski, Fabian Lehmann, Dominik Scheinert, Jonathan Will, Lauritz Thamsen, Odej Kao
2023 J jnl
FedZero: Leveraging Renewable Excess Energy in Federated Learning.
CoRR
Philipp Wiesner, Ramin Khalili, Dennis Grinwald, Pratik Agrawal, Lauritz Thamsen, Odej Kao
2023 B conf
How Workflow Engines Should Talk to Resource Managers: A Proposal for a Common Workflow Scheduling Interface.
CCGrid
Fabian Lehmann, Jonathan Bader, Friedrich Tschirpke, Lauritz Thamsen, Ulf Leser
2023 J jnl
How Workflow Engines Should Talk to Resource Managers: A Proposal for a Common Workflow Scheduling Interface.
CoRR
Fabian Lehmann, Jonathan Bader, Friedrich Tschirpke, Lauritz Thamsen, Ulf Leser
2023 C conf
Karasu: A Collaborative Approach to Efficient Cluster Configuration for Big Data Analytics.
IPCCC
Dominik Scheinert, Philipp Wiesner, Thorsten Wittkopp, Lauritz Thamsen, Jonathan Will, Odej Kao
2023 J jnl
Karasu: A Collaborative Approach to Efficient Cluster Configuration for Big Data Analytics.
CoRR
Dominik Scheinert, Philipp Wiesner, Thorsten Wittkopp, Lauritz Thamsen, Jonathan Will, Odej Kao
2023 J jnl
Lotaru: Locally Predicting Workflow Task Runtimes for Resource Management on Heterogeneous Infrastructures.
CoRR
Jonathan Bader, Fabian Lehmann, Lauritz Thamsen, Ulf Leser, Odej Kao
2023 — conf
Novel Approaches Toward Scalable Composable Workflows in Hyper-Heterogeneous Computing Environments.
SC Workshops
Jonathan Bader, Jim Belak, Matthew T. Bement, Matthew Berry, Robert Carson, Daniela Cassol, Stephen Chan, John Coleman, Kastan Day, Alejandro Duque, Kjiersten Fagnan, Jeff Froula, Shantenu Jha, Daniel S. Katz, Piotr Kica, Volodymyr V. Kindratenko, Edward Kirton, Ramani Kothadia, Daniel E. Laney, Fabian Lehmann, Ulf Leser, Sabina Licholai, Maciej Malawski, Mario Melara, Elais Player Jackson, Matthew Rolchigo, Setareh Sarrafan, Seung-Jin Sul, Abdullah Syed, Lauritz Thamsen, Mikhail Titov, Matteo Turilli, Silvina Caíno-Lores, Anirban Mandal
2023 B conf
Predicting Dynamic Memory Requirements for Scientific Workflow Tasks.
IEEE Big Data
Jonathan Bader, Nils Diedrich, Lauritz Thamsen, Odej Kao
2023 J jnl
Predicting Dynamic Memory Requirements for Scientific Workflow Tasks.
CoRR
Jonathan Bader, Nils Diedrich, Lauritz Thamsen, Odej Kao
2023 B conf
Selecting Efficient Cluster Resources for Data Analytics: When and How to Allocate for In-Memory Processing?
SSDBM
Jonathan Will, Lauritz Thamsen, Dominik Scheinert, Odej Kao
2023 J jnl
Selecting Efficient Cluster Resources for Data Analytics: When and How to Allocate for In-Memory Processing?
CoRR
Jonathan Will, Lauritz Thamsen, Dominik Scheinert, Odej Kao
2023 J jnl
Special Issue on benchmarking, experimentation tools, and reproducible practices for data-intensive systems from edge to cloud.
Softw. Pract. Exp.
Lauritz Thamsen, David Bermbach, Demetris Trihinas
2023 J jnl
The Common Workflow Scheduler Interface: Status Quo and Future Plans.
CoRR
Fabian Lehmann, Jonathan Bader, Lauritz Thamsen, Ulf Leser
2023 J jnl
Towards Energy Consumption and Carbon Footprint Testing for AI-driven IoT Services.
CoRR
Demetris Trihinas, Lauritz Thamsen, Jossekin Beilharz, Moysis Symeonides
2023 — conf
Towards Energy-Aware Machine Learning in Geo-Distributed IoT Settings.
Euro-Par Workshops
Demetris Trihinas, Lauritz Thamsen
2023 B conf
Towards a Peer-to-Peer Data Distribution Layer for Efficient and Collaborative Resource Optimization of Distributed Dataflow Applications.
IEEE Big Data
Dominik Scheinert, Sören Becker, Jonathan Will, Luis Englaender, Lauritz Thamsen
2023 J jnl
Towards a Peer-to-Peer Data Distribution Layer for Efficient and Collaborative Resource Optimization of Distributed Dataflow Applications.
CoRR
Dominik Scheinert, Sören Becker, Jonathan Will, Luis Englaender, Lauritz Thamsen
2023 J jnl
Towards a Real-Time IoT: Approaches for Incoming Packet Processing in Cyber-Physical Systems.
CoRR
Ilja Behnke, Christoph Blumschein, Robert Danicki, Philipp Wiesner, Lauritz Thamsen, Odej Kao
2023 J jnl
Towards a real-time IoT: Approaches for incoming packet processing in cyber-physical systems.
J. Syst. Archit.
Ilja Behnke, Christoph Blumschein, Robert Danicki, Philipp Wiesner, Lauritz Thamsen, Odej Kao
2022 J jnl
A Priority-Aware Multiqueue NIC Design.
CoRR
Ilja Behnke, Philipp Wiesner, Robert Danicki, Lauritz Thamsen
2022 Misc conf
A priority-aware multiqueue NIC design for real-time IoT devices.
SAC
Ilja Behnke, Philipp Wiesner, Robert Danicki, Lauritz Thamsen
2022 J jnl
AuctionWhisk: Using an auction-inspired approach for function placement in serverless fog platforms.
Softw. Pract. Exp.
David Bermbach, Jonathan Bader, Jonathan Hasenburg, Tobias Pfandzelter, Lauritz Thamsen
2022 J jnl
Collaborative Cluster Configuration for Distributed Data-Parallel Processing: A Research Overview.
CoRR
Lauritz Thamsen, Dominik Scheinert, Jonathan Will, Jonathan Bader, Odej Kao
2022 J jnl
Collaborative Cluster Configuration for Distributed Data-Parallel Processing: A Research Overview.
Datenbank-Spektrum
Lauritz Thamsen, Dominik Scheinert, Jonathan Will, Jonathan Bader, Odej Kao
2022 — conf
Cucumber: Renewable-Aware Admission Control for Delay-Tolerant Cloud and Edge Workloads.
Euro-Par
Philipp Wiesner, Dominik Scheinert, Thorsten Wittkopp, Lauritz Thamsen, Odej Kao
2022 J jnl
Cucumber: Renewable-Aware Admission Control for Delay-Tolerant Cloud and Edge Workloads.
CoRR
Philipp Wiesner, Dominik Scheinert, Thorsten Wittkopp, Lauritz Thamsen, Odej Kao
2022 C conf
Differentiating Network Flows for Priority-Aware Scheduling of Incoming Packets in Real-Time IoT Systems.
ISORC
Christoph Blumschein, Ilja Behnke, Lauritz Thamsen, Odej Kao
2022 J jnl
Differentiating Network Flows for Priority-Aware Scheduling of Incoming Packets in Real-Time IoT Systems.
CoRR
Christoph Blumschein, Ilja Behnke, Lauritz Thamsen, Odej Kao
2022 B conf
Get Your Memory Right: The Crispy Resource Allocation Assistant for Large-Scale Data Processing.
IC2E
Jonathan Will, Lauritz Thamsen, Jonathan Bader, Dominik Scheinert, Odej Kao
2022 J jnl
Get Your Memory Right: The Crispy Resource Allocation Assistant for Large-Scale Data Processing.
CoRR
Jonathan Will, Lauritz Thamsen, Jonathan Bader, Dominik Scheinert, Odej Kao
2022 C conf
Khaos: Dynamically Optimizing Checkpointing for Dependable Distributed Stream Processing.
FedCSIS
Morgan Geldenhuys, Benjamin J. J. Pfister, Dominik Scheinert, Lauritz Thamsen, Odej Kao
2022 B conf
Lotaru: Locally Estimating Runtimes of Scientific Workflow Tasks in Heterogeneous Clusters.
SSDBM
Jonathan Bader, Fabian Lehmann, Lauritz Thamsen, Jonathan Will, Ulf Leser, Odej Kao
2022 J jnl
Lotaru: Locally Estimating Runtimes of Scientific Workflow Tasks in Heterogeneous Clusters.
CoRR
Jonathan Bader, Fabian Lehmann, Lauritz Thamsen, Jonathan Will, Ulf Leser, Odej Kao
2022 B conf
Magpie: Automatically Tuning Static Parameters for Distributed File Systems using Deep Reinforcement Learning.
IC2E
Houkun Zhu, Dominik Scheinert, Lauritz Thamsen, Kain Kordian Gontarska, Odej Kao
2022 J jnl
Magpie: Automatically Tuning Static Parameters for Distributed File Systems using Deep Reinforcement Learning.
CoRR
Houkun Zhu, Dominik Scheinert, Lauritz Thamsen, Kain Kordian Gontarska, Odej Kao
2022 B conf
Perona: Robust Infrastructure Fingerprinting for Resource-Efficient Big Data Analytics.
IEEE Big Data
Dominik Scheinert, Soeren Becker, Jonathan Bader, Lauritz Thamsen, Jonathan Will, Odej Kao
2022 J jnl
Perona: Robust Infrastructure Fingerprinting for Resource-Efficient Big Data Analytics.
CoRR
Dominik Scheinert, Soeren Becker, Jonathan Bader, Lauritz Thamsen, Jonathan Will, Odej Kao
2022 A conf
Phoebe: QoS-Aware Distributed Stream Processing through Anticipating Dynamic Workloads.
ICWS
Morgan K. Geldenhuys, Dominik Scheinert, Odej Kao, Lauritz Thamsen
2022 J jnl
Phoebe: QoS-Aware Distributed Stream Processing through Anticipating Dynamic Workloads.
CoRR
Morgan K. Geldenhuys, Dominik Scheinert, Odej Kao, Lauritz Thamsen
2022 B conf
Probabilistic Time Series Forecasting for Adaptive Monitoring in Edge Computing Environments.
IEEE Big Data
Dominik Scheinert, Babak Sistani Zadeh Aghdam, Soeren Becker, Odej Kao, Lauritz Thamsen
2022 J jnl
Probabilistic Time Series Forecasting for Adaptive Monitoring in Edge Computing Environments.
CoRR
Dominik Scheinert, Babak Sistani Zadeh Aghdam, Soeren Becker, Odej Kao, Lauritz Thamsen
2022 C conf
Reshi: Recommending Resources for Scientific Workflow Tasks on Heterogeneous Infrastructures.
IPCCC
Jonathan Bader, Fabian Lehmann, Alexander Groth, Lauritz Thamsen, Dominik Scheinert, Jonathan Will, Ulf Leser, Odej Kao
2022 J jnl
Reshi: Recommending Resources for Scientific Workflow Tasks on Heterogeneous Infrastructures.
CoRR
Jonathan Bader, Fabian Lehmann, Alexander Groth, Lauritz Thamsen, Dominik Scheinert, Jonathan Will, Ulf Leser, Odej Kao
2022 B conf
Ruya: Memory-Aware Iterative Optimization of Cluster Configurations for Big Data Processing.
IEEE Big Data
Jonathan Will, Lauritz Thamsen, Jonathan Bader, Dominik Scheinert, Odej Kao
2022 J jnl
Ruya: Memory-Aware Iterative Optimization of Cluster Configurations for Big Data Processing.
CoRR
Jonathan Will, Lauritz Thamsen, Jonathan Bader, Dominik Scheinert, Odej Kao
2022 — ed.
Service-Oriented Computing - ICSOC 2021 Workshops - AIOps, STRAPS, AI-PA and Satellite Events, Dubai, United Arab Emirates, November 22-25, 2021, Proceedings
ICSOC Workshops
Hakim Hacid, Monther Aldwairi, Mohamed Reda Bouadjenek, Marinella Petrocchi, Noura Faci, Fatma Outay, Amin Beheshti, Lauritz Thamsen, Hai Dong
2022 J jnl
SyncMesh: Improving Data Locality for Function-as-a-Service in Meshed Edge Networks.
CoRR
Daniel Habenicht, Kevin Kreutz, Soeren Becker, Jonathan Bader, Lauritz Thamsen, Odej Kao
2022 — conf
SyncMesh: improving data locality for function-as-a-service in meshed edge networks.
EdgeSys@EuroSys
Daniel Habenicht, Kevin Kreutz, Soeren Becker, Jonathan Bader, Lauritz Thamsen, Odej Kao
2022 B conf
Towards Energy Consumption and Carbon Footprint Testing for AI-driven IoT Services.
IC2E
Demetris Trihinas, Lauritz Thamsen, Jossekin Beilharz, Moysis Symeonides
2021 J jnl
AuctionWhisk: Using an Auction-Inspired Approach for Function Placement in Serverless Fog Platforms.
CoRR
David Bermbach, Jonathan Bader, Jonathan Hasenburg, Tobias Pfandzelter, Lauritz Thamsen
2021 C conf
Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts.
CLUSTER
Dominik Scheinert, Lauritz Thamsen, Houkun Zhu, Jonathan Will, Alexander Acker, Thorsten Wittkopp, Odej Kao
2021 J jnl
Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts.
CoRR
Dominik Scheinert, Lauritz Thamsen, Houkun Zhu, Jonathan Will, Alexander Acker, Thorsten Wittkopp, Odej Kao
2021 B conf
C3O: Collaborative Cluster Configuration Optimization for Distributed Data Processing in Public Clouds.
IC2E
Jonathan Will, Lauritz Thamsen, Dominik Scheinert, Jonathan Bader, Odej Kao
2021 J jnl
C3O: Collaborative Cluster Configuration Optimization for Distributed Data Processing in Public Clouds.
CoRR
Jonathan Will, Lauritz Thamsen, Dominik Scheinert, Jonathan Bader, Odej Kao
2021 J jnl
Chiron: Optimizing Fault Tolerance in QoS-aware Distributed Stream Processing Jobs.
CoRR
Morgan Geldenhuys, Lauritz Thamsen, Odej Kao
2021 — conf
Continuously Testing Distributed IoT Systems: An Overview of the State of the Art.
ICSOC Workshops
Jossekin Beilharz, Philipp Wiesner, Arne Boockmeyer, Lukas Pirl, Dirk Friedenberger, Florian Brokhausen, Ilja Behnke, Andreas Polze, Lauritz Thamsen
2021 J jnl
Continuously Testing Distributed IoT Systems: An Overview of the State of the Art.
CoRR
Jossekin Beilharz, Philipp Wiesner, Arne Boockmeyer, Lukas Pirl, Dirk Friedenberger, Florian Brokhausen, Ilja Behnke, Andreas Polze, Lauritz Thamsen
2021 B conf
Dependable IoT Data Stream Processing for Monitoring and Control of Urban Infrastructures.
IC2E
Morgan K. Geldenhuys, Jonathan Will, Benjamin J. J. Pfister, Martin Haug, Alexander Scharmann, Lauritz Thamsen
2021 J jnl
Dependable IoT Data Stream Processing for Monitoring and Control of Urban Infrastructures.
CoRR
Morgan K. Geldenhuys, Jonathan Will, Benjamin J. J. Pfister, Martin Haug, Alexander Scharmann, Lauritz Thamsen
2021 — conf
Detecting and Mitigating Network Packet Overloads on Real-Time Devices in IoT Systems.
EdgeSys@EuroSys
Robert Danicki, Martin Haug, Ilja Behnke, Laurenz Mädje, Lauritz Thamsen
2021 J jnl
Detecting and Mitigating Network Packet Overloads on Real-Time Devices in IoT Systems.
CoRR
Robert Danicki, Martin Haug, Ilja Behnke, Laurenz Mädje, Lauritz Thamsen
2021 J jnl
Effectively Testing System Configurations of Critical IoT Analytics Pipelines.
CoRR
Morgan Geldenhuys, Lauritz Thamsen, Kain Kordian Gontarska, Felix Lorenz, Odej Kao
2021 C conf
Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs using Graph Propagation.
IPCCC
Dominik Scheinert, Houkun Zhu, Lauritz Thamsen, Morgan K. Geldenhuys, Jonathan Will, Alexander Acker, Odej Kao
2021 J jnl
Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs using Graph Propagation.
CoRR
Dominik Scheinert, Houkun Zhu, Lauritz Thamsen, Morgan K. Geldenhuys, Jonathan Will, Alexander Acker, Odej Kao
2021 B conf
Evaluation of Load Prediction Techniques for Distributed Stream Processing.
IC2E
Kain Kordian Gontarska, Morgan Geldenhuys, Dominik Scheinert, Philipp Wiesner, Andreas Polze, Lauritz Thamsen
2021 J jnl
Evaluation of Load Prediction Techniques for Distributed Stream Processing.
CoRR
Kain Kordian Gontarska, Morgan Geldenhuys, Dominik Scheinert, Philipp Wiesner, Andreas Polze, Lauritz Thamsen
2021 B conf
GRAL: Localization of Floating Wireless Sensors in Pipe Networks.
IC2E
Martin Haug, Felix Lorenz, Lauritz Thamsen
2021 J jnl
GRAL: Localization of Floating Wireless Sensors in Pipe Networks.
CoRR
Martin Haug, Felix Lorenz, Lauritz Thamsen
2021 J jnl
Hugo: A Cluster Scheduler that Efficiently Learns to Select Complementary Data-Parallel Jobs.
CoRR
Lauritz Thamsen, Ilya Verbitskiy, Sasho Nedelkoski, Vinh Thuy Tran, Vinícius Meyer, Miguel G. Xavier, Odej Kao, César A. F. De Rose
2021 J jnl
Interrupting Real-Time IoT Tasks: How Bad Can It Be to Connect Your Critical Embedded System to the Internet?
CoRR
Ilja Behnke, Lukas Pirl, Lauritz Thamsen, Robert Danicki, Andreas Polze, Odej Kao
2021 J jnl
Khaos: Dynamically Optimizing Checkpointing for Dependable Distributed Stream Processing.
CoRR
Morgan K. Geldenhuys, Benjamin J. J. Pfister, Dominik Scheinert, Odej Kao, Lauritz Thamsen
2021 C conf
LEAF: Simulating Large Energy-Aware Fog Computing Environments.
ICFEC
Philipp Wiesner, Lauritz Thamsen
2021 J jnl
LEAF: Simulating Large Energy-Aware Fog Computing Environments.
CoRR
Philipp Wiesner, Lauritz Thamsen
2021 — conf
LOS: Local-Optimistic Scheduling of Periodic Model Training For Anomaly Detection on Sensor Data Streams in Meshed Edge Networks.
ACSOS
Soeren Becker, Florian Schmidt, Lauritz Thamsen, Ana Juan Ferrer, Odej Kao
2021 J jnl
LOS: Local-Optimistic Scheduling of Periodic Model Training For Anomaly Detection on Sensor Data Streams in Meshed Edge Networks.
CoRR
Soeren Becker, Florian Schmidt, Lauritz Thamsen, Ana Juan Ferrer, Odej Kao
2021 J jnl
Learning Dependencies in Distributed Cloud Applications to Identify and Localize Anomalies.
CoRR
Dominik Scheinert, Alexander Acker, Lauritz Thamsen, Morgan K. Geldenhuys, Odej Kao
2021 J jnl
Let's Wait Awhile: How Temporal Workload Shifting Can Reduce Carbon Emissions in the Cloud.
CoRR
Philipp Wiesner, Ilja Behnke, Dominik Scheinert, Kain Kordian Gontarska, Lauritz Thamsen
2021 A conf
Let's wait awhile: how temporal workload shifting can reduce carbon emissions in the cloud.
Middleware
Philipp Wiesner, Ilja Behnke, Dominik Scheinert, Kain Kordian Gontarska, Lauritz Thamsen
2021 J jnl
Mary, Hugo, and Hugo*: Learning to schedule distributed data-parallel processing jobs on shared clusters.
Concurr. Comput. Pract. Exp.
Lauritz Thamsen, Jossekin Beilharz, Vinh Thuy Tran, Sasho Nedelkoski, Odej Kao
2021 B conf
On the Future of Cloud Engineering.
IC2E
David Bermbach, Abhishek Chandra, Chandra Krintz, Aniruddha Gokhale, Aleksander Slominski, Lauritz Thamsen, Everton Cavalcante, Tian Guo, Ivona Brandic, Rich Wolski
2021 J jnl
On the Future of Cloud Engineering.
CoRR
David Bermbach, Abhishek Chandra, Chandra Krintz, Aniruddha Gokhale, Aleksander Slominski, Lauritz Thamsen, Everton Cavalcante, Tian Guo, Ivona Brandic, Rich Wolski
2021 — conf
On the Potential of Execution Traces for Batch Processing Workload Optimization in Public Clouds.
IEEE BigData
Dominik Scheinert, Alireza Alamgiralem, Jonathan Bader, Jonathan Will, Thorsten Wittkopp, Lauritz Thamsen
2021 J jnl
On the Potential of Execution Traces for Batch Processing Workload Optimization in Public Clouds.
CoRR
Dominik Scheinert, Alireza Alamgiralem, Jonathan Bader, Jonathan Will, Thorsten Wittkopp, Lauritz Thamsen
2021 — conf
PIERES: A Playground for Network Interrupt Experiments on Real-Time Embedded Systems in the IoT.
ICPE (Companion)
Franz Bender, Jan Jonas Brune, Nick Lauritz Keutel, Ilja Behnke, Lauritz Thamsen
2021 J jnl
PIERES: A Playground for Network Interrupt Experiments on Real-Time Embedded Systems in the IoT.
CoRR
Franz Bender, Jan Jonas Brune, Nick Lauritz Keutel, Ilja Behnke, Lauritz Thamsen
2021 B conf
Predicting Medical Interventions from Vital Parameters: Towards a Decision Support System for Remote Patient Monitoring.
AIME
Kain Kordian Gontarska, Weronika Wrazen, Jossekin Beilharz, Robert Schmid, Lauritz Thamsen, Andreas Polze
2021 J jnl
Predicting Medical Interventions from Vital Parameters: Towards a Decision Support System for Remote Patient Monitoring.
CoRR
Kain Kordian Gontarska, Weronika Wrazen, Jossekin Beilharz, Robert Schmid, Lauritz Thamsen, Andreas Polze
2021 — conf
Rafiki: Task-Level Capacity Planning in Distributed Stream Processing Systems.
Euro-Par Workshops
Benjamin J. J. Pfister, Wolf S. Lickefett, Jan Nitschke, Sumit Paul, Morgan K. Geldenhuys, Dominik Scheinert, Kain Kordian Gontarska, Lauritz Thamsen
2021 — conf
Tarema: Adaptive Resource Allocation for Scalable Scientific Workflows in Heterogeneous Clusters.
IEEE BigData
Jonathan Bader, Lauritz Thamsen, Svetlana Kulagina, Jonathan Will, Henning Meyerhenke, Odej Kao
2021 J jnl
Tarema: Adaptive Resource Allocation for Scalable Scientific Workflows in Heterogeneous Clusters.
CoRR
Jonathan Bader, Lauritz Thamsen, Svetlana Kulagina, Jonathan Will, Henning Meyerhenke, Odej Kao
2021 B conf
Towards a Cognitive Compute Continuum: An Architecture for Ad-Hoc Self-Managed Swarms.
CCGRID
Ana Juan Ferrer, Sören Becker, Florian Schmidt, Lauritz Thamsen, Odej Kao
2021 J jnl
Towards a Cognitive Compute Continuum: An Architecture for Ad-Hoc Self-Managed Swarms.
CoRR
Ana Juan Ferrer, Soeren Becker, Florian Schmidt, Lauritz Thamsen, Odej Kao
2021 — conf
Towards a Staging Environment for the Internet of Things.
PerCom Workshops
Jossekin Beilharz, Philipp Wiesner, Arne Boockmeyer, Florian Brokhausen, Ilja Behnke, Robert Schmid, Lukas Pirl, Lauritz Thamsen
2021 J jnl
Towards a Staging Environment for the Internet of Things.
CoRR
Jossekin Beilharz, Philipp Wiesner, Arne Boockmeyer, Florian Brokhausen, Ilja Behnke, Robert Schmid, Lukas Pirl, Lauritz Thamsen
2021 — conf
Training Data Reduction for Performance Models of Data Analytics Jobs in the Cloud.
IEEE BigData
Jonathan Will, Onur Arslan, Jonathan Bader, Dominik Scheinert, Lauritz Thamsen
2021 J jnl
Training Data Reduction for Performance Models of Data Analytics Jobs in the Cloud.
CoRR
Jonathan Will, Onur Arslan, Jonathan Bader, Dominik Scheinert, Lauritz Thamsen
2020 — conf
A Scalable and Dependable Data Analytics Platform for Water Infrastructure Monitoring.
IEEE BigData
Felix Lorenz, Morgan Geldenhuys, Harald Sommer, Frauke Jakobs, Carsten Lüring, Volker Skwarek, Ilja Behnke, Lauritz Thamsen
2020 J jnl
A Scalable and Dependable Data Analytics Platform for Water Infrastructure Monitoring.
CoRR
Felix Lorenz, Morgan Geldenhuys, Harald Sommer, Frauke Jakobs, Carsten Lüring, Volker Skwarek, Ilja Behnke, Lauritz Thamsen
2020 — conf
Chiron: Optimizing Fault Tolerance in QoS-aware Distributed Stream Processing Jobs.
IEEE BigData
Morgan K. Geldenhuys, Lauritz Thamsen, Odej Kao
2020 B conf
Fingerprinting Analog IoT Sensors for Secret-Free Authentication.
ICCCN
Felix Lorenz, Lauritz Thamsen, Andreas Wilke, Ilja Behnke, Jens Waldmüller-Littke, Ilya Komarov, Odej Kao, Manfred Paeschke
2020 J jnl
Fingerprinting Analog IoT Sensors for Secret-Free Authentication.
CoRR
Felix Lorenz, Lauritz Thamsen, Andreas Wilke, Ilja Behnke, Jens Waldmüller-Littke, Ilya Komarov, Odej Kao, Manfred Paeschke
2020 C conf
Interrupting Real-Time IoT Tasks: How Bad Can It Be to Connect Your Critical Embedded System to the Internet?
IPCCC
Ilja Behnke, Lukas Pirl, Lauritz Thamsen, Robert Danicki, Andreas Polze, Odej Kao
2020 — conf
Towards Collaborative Optimization of Cluster Configurations for Distributed Dataflow Jobs.
IEEE BigData
Jonathan Will, Jonathan Bader, Lauritz Thamsen
2020 J jnl
Towards Collaborative Optimization of Cluster Configurations for Distributed Dataflow Jobs.
CoRR
Jonathan Will, Jonathan Bader, Lauritz Thamsen
2019 — conf
Effectively Testing System Configurations of Critical IoT Analytics Pipelines.
IEEE BigData
Morgan K. Geldenhuys, Lauritz Thamsen, Kain Kordian Gontarska, Felix Lorenz, Odej Kao
2019 — conf
Hugo: A Cluster Scheduler that Efficiently Learns to Select Complementary Data-Parallel Jobs.
Euro-Par Workshops
Lauritz Thamsen, Ilya Verbitskiy, Sasho Nedelkoski, Vinh Thuy Tran, Vinícius Meyer, Miguel G. Xavier, Odej Kao, César A. F. De Rose
2019 — conf
Héctor: A Framework for Testing IoT Applications Across Heterogeneous Edge and Cloud Testbeds.
UCC Companion
Ilja Behnke, Lauritz Thamsen, Odej Kao
2019 — conf
Multilayer Active Learning for Efficient Learning and Resource Usage in Distributed IoT Architectures.
EDGE
Sasho Nedelkoski, Lauritz Thamsen, Ilya Verbitskiy, Odej Kao
2018 C conf
CoBell: Runtime Prediction for Distributed Dataflow Jobs in Shared Clusters.
CloudCom
Ilya Verbitskiy, Lauritz Thamsen, Thomas Renner, Odej Kao
2018 — —
Dynamic resource allocation for distributed dataflows.
Lauritz Thamsen
2018 — conf
Scheduling Stream Processing Tasks on Geo-Distributed Heterogeneous Resources.
IEEE BigData
Gerrit Jansen, Ilya Verbitskiy, Thomas Renner, Lauritz Thamsen
2017 C conf
Adaptive Resource Management for Distributed Data Analytics based on Container-level Cluster Monitoring.
DATA
Thomas Renner, Lauritz Thamsen, Odej Kao
2017 — conf
Adaptive Resource Management for Distributed Data Analytics.
TopHPC
Lauritz Thamsen, Thomas Renner, Ilya Verbitskiy, Odej Kao
2017 — conf
Addressing Hadoop's Small File Problem With an Appendable Archive File Format.
Conf. Computing Frontiers
Thomas Renner, Johannes Müller, Lauritz Thamsen, Odej Kao
2017 C conf
Ellis: Dynamically Scaling Distributed Dataflows to Meet Runtime Targets.
CloudCom
Lauritz Thamsen, Ilya Verbitskiy, Jossekin Beilharz, Thomas Renner, Andreas Polze, Odej Kao
2017 C conf
SMiPE: Estimating the Progress of Recurring Iterative Distributed Dataflows.
PDCAT
Jannis Koch, Lauritz Thamsen, Florian Schmidt, Odej Kao
2017 — conf
Scheduling Recurring Distributed Dataflow Jobs Based on Resource Utilization and Interference.
BigData Congress
Lauritz Thamsen, Benjamin Rabier, Florian Schmidt, Thomas Renner, Odej Kao
2016 — conf
CoLoc: Distributed data and container colocation for data-intensive applications.
IEEE BigData
Thomas Renner, Lauritz Thamsen, Odej Kao
2016 — conf
Continuously Improving the Resource Utilization of Iterative Parallel Dataflows.
ICDCS Workshops
Lauritz Thamsen, Thomas Renner, Odej Kao
2016 C conf
Selecting resources for distributed dataflow systems according to runtime targets.
IPCCC
Lauritz Thamsen, Ilya Verbitskiy, Florian Schmidt, Thomas Renner, Odej Kao
2016 — conf
Visually programming dataflows for distributed data analytics.
IEEE BigData
Lauritz Thamsen, Thomas Renner, Marvin Byfeld, Markus Paeschke, Daniel Schroder, Felix Bohm
2016 — conf
When to Use a Distributed Dataflow Engine: Evaluating the Performance of Apache Flink.
UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld
Ilya Verbitskiy, Lauritz Thamsen, Odej Kao
2015 — conf
Implicit Parallelism through Deep Language Embedding.
SIGMOD Conference
Alexander Alexandrov, Andreas Kunft, Asterios Katsifodimos, Felix Schüler, Lauritz Thamsen, Odej Kao, Tobias Herb, Volker Markl
2015 — conf
Lively groups: shared behavior in a world of objects without classes or prototypes.
FPW@SPLASH
Tim Felgentreff, Jens Lincke, Robert Hirschfeld, Lauritz Thamsen
2015 — conf
Network-aware resource management for scalable data analytics frameworks.
IEEE BigData
Thomas Renner, Lauritz Thamsen, Odej Kao
2014 C conf
Object versioning to support recovery needs: using proxies to preserve previous development states in lively.
DLS
Bastian Steinert, Lauritz Thamsen, Tim Felgentreff, Robert Hirschfeld
2012 — conf
Orca: A Single-Language Web Framework for Collaborative Development.
C5
Lauritz Thamsen, Anton Gulenko, Michael Perscheid, Robert Krahn, Robert Hirschfeld, David A. Thomas