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2020 – today
- 2024
[j6]Jonathan Bader
, Fabian Lehmann, Lauritz Thamsen, Ulf Leser, Odej Kao:
Lotaru: Locally predicting workflow task runtimes for resource management on heterogeneous infrastructures. Future Gener. Comput. Syst. 150: 171-185 (2024)- [c72]Jonathan Bader, Ansgar Lößer, Lauritz Thamsen, Björn Scheuermann, Odej Kao:
KS+: Predicting Workflow Task Memory Usage Over Time. e-Science 2024: 1-7 - [c71]Fabian Lehmann, Jonathan Bader, Ninon De Mecquenem, Xing Wang, Vasilis Bountris, Florian Friederici, Ulf Leser, Lauritz Thamsen:
Ponder: Online Prediction of Task Memory Requirements for Scientific Workflows. e-Science 2024: 1-10 - [c70]Philipp Wiesner, Ramin Khalili, Dennis Grinwald, Pratik Agrawal, Lauritz Thamsen, Odej Kao:
FedZero: Leveraging Renewable Excess Energy in Federated Learning. e-Energy 2024: 37-49 - [c69]Morgan K. Geldenhuys, Dominik Scheinert, Odej Kao, Lauritz Thamsen:
Demeter: Resource-Efficient Distributed Stream Processing under Dynamic Loads with Multi-Configuration Optimization. ICPE 2024: 142-153 - [c68]Jonathan Will, Dominik Scheinert, Seraphin Zunzer, Jan Bode, Cedric Kring, Lauritz Thamsen:
Privacy-Preserving Sharing of Data Analytics Runtime Metrics for Performance Modeling. ICPE (Companion) 2024: 269-272 - [i57]Morgan Geldenhuys, Dominik Scheinert, Odej Kao, Lauritz Thamsen:
Demeter: Resource-Efficient Distributed Stream Processing under Dynamic Loads with Multi-Configuration Optimization. CoRR abs/2403.02129 (2024) - [i56]Jonathan Will, Dominik Scheinert, Jan Bode, Cedric Kring, Seraphin Zunzer, Lauritz Thamsen:
Privacy-Preserving Sharing of Data Analytics Runtime Metrics for Performance Modeling. CoRR abs/2403.05692 (2024) - [i55]Jonathan Bader, Fabian Skalski, Fabian Lehmann, Dominik Scheinert, Jonathan Will, Lauritz Thamsen, Odej Kao:
Sizey: Memory-Efficient Execution of Scientific Workflow Tasks. CoRR abs/2407.16353 (2024) - [i54]Fabian Lehmann, Jonathan Bader, Ninon De Mecquenem, Xing Wang, Vasilis Bountris, Florian Friederici, Ulf Leser, Lauritz Thamsen:
Ponder: Online Prediction of Task Memory Requirements for Scientific Workflows. CoRR abs/2408.00047 (2024) - [i53]Jonathan Bader, Ansgar Lößer, Lauritz Thamsen, Björn Scheuermann, Odej Kao:
KS+: Predicting Workflow Task Memory Usage Over Time. CoRR abs/2408.12290 (2024) - 2023
- [j5]Ilja Behnke, Christoph Blumschein, Robert Danicki, Philipp Wiesner, Lauritz Thamsen, Odej Kao:
Towards a real-time IoT: Approaches for incoming packet processing in cyber-physical systems. J. Syst. Archit. 140: 102891 (2023) - [j4]Lauritz Thamsen, David Bermbach, Demetris Trihinas:
Special Issue on benchmarking, experimentation tools, and reproducible practices for data-intensive systems from edge to cloud. Softw. Pract. Exp. 53(12): 2325-2326 (2023) - [c67]Jonathan Bader, Nils Diedrich, Lauritz Thamsen, Odej Kao:
Predicting Dynamic Memory Requirements for Scientific Workflow Tasks. IEEE Big Data 2023: 182-189 - [c66]Dominik Scheinert, Sören Becker, Jonathan Will, Luis Englaender, Lauritz Thamsen:
Towards a Peer-to-Peer Data Distribution Layer for Efficient and Collaborative Resource Optimization of Distributed Dataflow Applications. IEEE Big Data 2023: 2339-2345 - [c65]Fabian Lehmann, Jonathan Bader, Friedrich Tschirpke, Lauritz Thamsen, Ulf Leser:
How Workflow Engines Should Talk to Resource Managers: A Proposal for a Common Workflow Scheduling Interface. CCGrid 2023: 166-179 - [c64]Demetris Trihinas, Lauritz Thamsen:
Towards Energy-Aware Machine Learning in Geo-Distributed IoT Settings. Euro-Par Workshops 2023: 256-259 - [c63]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:
Novel Approaches Toward Scalable Composable Workflows in Hyper-Heterogeneous Computing Environments. SC Workshops 2023: 2097-2108 - [c62]Jonathan Will, Lauritz Thamsen, Dominik Scheinert, Odej Kao:
Selecting Efficient Cluster Resources for Data Analytics: When and How to Allocate for In-Memory Processing? SSDBM 2023: 24:1-24:4 - [d3]Fabian Lehmann, Jonathan Bader, Friedrich Tschirpke, Lauritz Thamsen, Ulf Leser:
Nextflow with the Common Workflow Scheduler Interface for Kubernetes. Zenodo, 2023
- [d2]Fabian Lehmann, Jonathan Bader, Friedrich Tschirpke, Lauritz Thamsen, Ulf Leser:
Common Workflow Scheduler for Kubernetes. Zenodo, 2023 - [d1]Fabian Lehmann, Jonathan Bader, Friedrich Tschirpke, Lauritz Thamsen, Ulf Leser:
Common Workflow Scheduler Evaluation with Nextflow and Kubernetes. Zenodo, 2023 - [i52]Fabian Lehmann, Jonathan Bader, Friedrich Tschirpke, Lauritz Thamsen, Ulf Leser:
How Workflow Engines Should Talk to Resource Managers: A Proposal for a Common Workflow Scheduling Interface. CoRR abs/2302.07652 (2023) - [i51]Demetris Trihinas, Lauritz Thamsen, Jossekin Beilharz, Moysis Symeonides:
Towards Energy Consumption and Carbon Footprint Testing for AI-driven IoT Services. CoRR abs/2304.06414 (2023) - [i50]Ilja Behnke, Christoph Blumschein, Robert Danicki, Philipp Wiesner, Lauritz Thamsen, Odej Kao:
Towards a Real-Time IoT: Approaches for Incoming Packet Processing in Cyber-Physical Systems. CoRR abs/2305.01985 (2023) - [i49]Philipp Wiesner, Ramin Khalili, Dennis Grinwald, Pratik Agrawal, Lauritz Thamsen, Odej Kao:
FedZero: Leveraging Renewable Excess Energy in Federated Learning. CoRR abs/2305.15092 (2023) - [i48]Jonathan Will, Lauritz Thamsen, Dominik Scheinert, Odej Kao:
Selecting Efficient Cluster Resources for Data Analytics: When and How to Allocate for In-Memory Processing? CoRR abs/2306.03672 (2023) - [i47]Dominik Scheinert, Philipp Wiesner, Thorsten Wittkopp, Lauritz Thamsen, Jonathan Will, Odej Kao:
Karasu: A Collaborative Approach to Efficient Cluster Configuration for Big Data Analytics. CoRR abs/2308.11792 (2023) - [i46]Jonathan Bader, Fabian Lehmann, Lauritz Thamsen, Ulf Leser, Odej Kao:
Lotaru: Locally Predicting Workflow Task Runtimes for Resource Management on Heterogeneous Infrastructures. CoRR abs/2309.06918 (2023) - [i45]Jonathan Bader, Nils Diedrich, Lauritz Thamsen, Odej Kao:
Predicting Dynamic Memory Requirements for Scientific Workflow Tasks. CoRR abs/2311.08185 (2023) - [i44]Dominik Scheinert, Sören Becker, Jonathan Will, Luis Englaender, Lauritz Thamsen:
Towards a Peer-to-Peer Data Distribution Layer for Efficient and Collaborative Resource Optimization of Distributed Dataflow Applications. CoRR abs/2311.14600 (2023) - [i43]Fabian Lehmann, Jonathan Bader, Lauritz Thamsen, Ulf Leser:
The Common Workflow Scheduler Interface: Status Quo and Future Plans. CoRR abs/2311.15929 (2023) - 2022
- [j3]Lauritz Thamsen, Dominik Scheinert, Jonathan Will, Jonathan Bader, Odej Kao:
Collaborative Cluster Configuration for Distributed Data-Parallel Processing: A Research Overview. Datenbank-Spektrum 22(2): 143-151 (2022) - [j2]David Bermbach, Jonathan Bader, Jonathan Hasenburg, Tobias Pfandzelter, Lauritz Thamsen:
AuctionWhisk: Using an auction-inspired approach for function placement in serverless fog platforms. Softw. Pract. Exp. 52(5): 1143-1169 (2022) - [c61]Jonathan Will, Lauritz Thamsen, Jonathan Bader, Dominik Scheinert, Odej Kao:
Ruya: Memory-Aware Iterative Optimization of Cluster Configurations for Big Data Processing. IEEE Big Data 2022: 161-169 - [c60]Dominik Scheinert, Soeren Becker, Jonathan Bader, Lauritz Thamsen, Jonathan Will, Odej Kao:
Perona: Robust Infrastructure Fingerprinting for Resource-Efficient Big Data Analytics. IEEE Big Data 2022: 209-216 - [c59]Dominik Scheinert, Babak Sistani Zadeh Aghdam, Soeren Becker, Odej Kao, Lauritz Thamsen:
Probabilistic Time Series Forecasting for Adaptive Monitoring in Edge Computing Environments. IEEE Big Data 2022: 4583-4588 - [c58]Philipp Wiesner, Dominik Scheinert, Thorsten Wittkopp, Lauritz Thamsen, Odej Kao:
Cucumber: Renewable-Aware Admission Control for Delay-Tolerant Cloud and Edge Workloads. Euro-Par 2022: 218-232 - [c57]Daniel Habenicht, Kevin Kreutz, Soeren Becker, Jonathan Bader, Lauritz Thamsen, Odej Kao:
SyncMesh: improving data locality for function-as-a-service in meshed edge networks. EdgeSys@EuroSys 2022: 55-60 - [c56]Morgan Geldenhuys, Benjamin J. J. Pfister, Dominik Scheinert, Lauritz Thamsen, Odej Kao:
Khaos: Dynamically Optimizing Checkpointing for Dependable Distributed Stream Processing. FedCSIS 2022: 553-561 - [c55]Demetris Trihinas, Lauritz Thamsen, Jossekin Beilharz, Moysis Symeonides:
Towards Energy Consumption and Carbon Footprint Testing for AI-driven IoT Services. IC2E 2022: 29-35 - [c54]Jonathan Will, Lauritz Thamsen, Jonathan Bader, Dominik Scheinert, Odej Kao:
Get Your Memory Right: The Crispy Resource Allocation Assistant for Large-Scale Data Processing. IC2E 2022: 58-66 - [c53]Houkun Zhu, Dominik Scheinert, Lauritz Thamsen, Kain Kordian Gontarska, Odej Kao:
Magpie: Automatically Tuning Static Parameters for Distributed File Systems using Deep Reinforcement Learning. IC2E 2022: 150-159 - [c52]Morgan K. Geldenhuys, Dominik Scheinert, Odej Kao, Lauritz Thamsen:
Phoebe: QoS-Aware Distributed Stream Processing through Anticipating Dynamic Workloads. ICWS 2022: 198-207 - [c51]Jonathan Bader, Fabian Lehmann, Alexander Groth, Lauritz Thamsen, Dominik Scheinert, Jonathan Will, Ulf Leser, Odej Kao:
Reshi: Recommending Resources for Scientific Workflow Tasks on Heterogeneous Infrastructures. IPCCC 2022: 269-274 - [c50]Christoph Blumschein, Ilja Behnke, Lauritz Thamsen, Odej Kao:
Differentiating Network Flows for Priority-Aware Scheduling of Incoming Packets in Real-Time IoT Systems. ISORC 2022: 1-8 - [c49]Ilja Behnke, Philipp Wiesner, Robert Danicki, Lauritz Thamsen:
A priority-aware multiqueue NIC design for real-time IoT devices. SAC 2022: 534-538 - [c48]Jonathan Bader, Fabian Lehmann, Lauritz Thamsen, Jonathan Will, Ulf Leser, Odej Kao:
Lotaru: Locally Estimating Runtimes of Scientific Workflow Tasks in Heterogeneous Clusters. SSDBM 2022: 1:1-1:12 - [e1]Hakim Hacid, Monther Aldwairi, Mohamed Reda Bouadjenek, Marinella Petrocchi, Noura Faci, Fatma Outay, Amin Beheshti, Lauritz Thamsen, Hai Dong:
Service-Oriented Computing - ICSOC 2021 Workshops - AIOps, STRAPS, AI-PA and Satellite Events, Dubai, United Arab Emirates, November 22-25, 2021, Proceedings. Lecture Notes in Computer Science 13236, Springer 2022, ISBN 978-3-031-14134-8 [contents] - [i42]Ilja Behnke, Philipp Wiesner, Robert Danicki, Lauritz Thamsen:
A Priority-Aware Multiqueue NIC Design. CoRR abs/2201.00594 (2022) - [i41]Daniel Habenicht, Kevin Kreutz, Soeren Becker, Jonathan Bader, Lauritz Thamsen, Odej Kao:
SyncMesh: Improving Data Locality for Function-as-a-Service in Meshed Edge Networks. CoRR abs/2203.14801 (2022) - [i40]Christoph Blumschein, Ilja Behnke, Lauritz Thamsen, Odej Kao:
Differentiating Network Flows for Priority-Aware Scheduling of Incoming Packets in Real-Time IoT Systems. CoRR abs/2204.08846 (2022) - [i39]Philipp Wiesner, Dominik Scheinert, Thorsten Wittkopp, Lauritz Thamsen, Odej Kao:
Cucumber: Renewable-Aware Admission Control for Delay-Tolerant Cloud and Edge Workloads. CoRR abs/2205.02895 (2022) - [i38]Jonathan Bader, Fabian Lehmann, Lauritz Thamsen, Jonathan Will, Ulf Leser, Odej Kao:
Lotaru: Locally Estimating Runtimes of Scientific Workflow Tasks in Heterogeneous Clusters. CoRR abs/2205.11181 (2022) - [i37]Lauritz Thamsen, Dominik Scheinert, Jonathan Will, Jonathan Bader, Odej Kao:
Collaborative Cluster Configuration for Distributed Data-Parallel Processing: A Research Overview. CoRR abs/2206.00429 (2022) - [i36]Morgan K. Geldenhuys, Dominik Scheinert, Odej Kao, Lauritz Thamsen:
Phoebe: QoS-Aware Distributed Stream Processing through Anticipating Dynamic Workloads. CoRR abs/2206.09679 (2022) - [i35]Jonathan Will, Lauritz Thamsen, Jonathan Bader, Dominik Scheinert, Odej Kao:
Get Your Memory Right: The Crispy Resource Allocation Assistant for Large-Scale Data Processing. CoRR abs/2206.13852 (2022) - [i34]Houkun Zhu, Dominik Scheinert, Lauritz Thamsen, Kain Kordian Gontarska, Odej Kao:
Magpie: Automatically Tuning Static Parameters for Distributed File Systems using Deep Reinforcement Learning. CoRR abs/2207.09298 (2022) - [i33]Jonathan Bader, Fabian Lehmann, Alexander Groth, Lauritz Thamsen, Dominik Scheinert, Jonathan Will, Ulf Leser, Odej Kao:
Reshi: Recommending Resources for Scientific Workflow Tasks on Heterogeneous Infrastructures. CoRR abs/2208.07905 (2022) - [i32]Jonathan Will, Lauritz Thamsen, Jonathan Bader, Dominik Scheinert, Odej Kao:
Ruya: Memory-Aware Iterative Optimization of Cluster Configurations for Big Data Processing. CoRR abs/2211.04240 (2022) - [i31]Dominik Scheinert, Soeren Becker, Jonathan Bader, Lauritz Thamsen, Jonathan Will, Odej Kao:
Perona: Robust Infrastructure Fingerprinting for Resource-Efficient Big Data Analytics. CoRR abs/2211.08227 (2022) - [i30]Dominik Scheinert, Babak Sistani Zadeh Aghdam, Soeren Becker, Odej Kao, Lauritz Thamsen:
Probabilistic Time Series Forecasting for Adaptive Monitoring in Edge Computing Environments. CoRR abs/2211.13729 (2022) - 2021
- [j1]Lauritz Thamsen, Jossekin Beilharz, Vinh Thuy Tran, Sasho Nedelkoski, Odej Kao:
Mary, Hugo, and Hugo*: Learning to schedule distributed data-parallel processing jobs on shared clusters. Concurr. Comput. Pract. Exp. 33(18) (2021) - [c47]Soeren Becker, Florian Schmidt, Lauritz Thamsen, Ana Juan Ferrer, Odej Kao:
LOS: Local-Optimistic Scheduling of Periodic Model Training For Anomaly Detection on Sensor Data Streams in Meshed Edge Networks. ACSOS 2021: 41-50 - [c46]Kain Kordian Gontarska, Weronika Wrazen, Jossekin Beilharz, Robert Schmid, Lauritz Thamsen, Andreas Polze:
Predicting Medical Interventions from Vital Parameters: Towards a Decision Support System for Remote Patient Monitoring. AIME 2021: 293-297 - [c45]Jonathan Bader, Lauritz Thamsen, Svetlana Kulagina, Jonathan Will, Henning Meyerhenke, Odej Kao:
Tarema: Adaptive Resource Allocation for Scalable Scientific Workflows in Heterogeneous Clusters. IEEE BigData 2021: 65-75 - [c44]Dominik Scheinert, Alireza Alamgiralem, Jonathan Bader, Jonathan Will, Thorsten Wittkopp, Lauritz Thamsen:
On the Potential of Execution Traces for Batch Processing Workload Optimization in Public Clouds. IEEE BigData 2021: 3113-3118 - [c43]Jonathan Will, Onur Arslan, Jonathan Bader, Dominik Scheinert, Lauritz Thamsen:
Training Data Reduction for Performance Models of Data Analytics Jobs in the Cloud. IEEE BigData 2021: 3141-3146 - [c42]Ana Juan Ferrer, Sören Becker, Florian Schmidt, Lauritz Thamsen, Odej Kao:
Towards a Cognitive Compute Continuum: An Architecture for Ad-Hoc Self-Managed Swarms. CCGRID 2021: 634-641 - [c41]Dominik Scheinert, Lauritz Thamsen, Houkun Zhu, Jonathan Will, Alexander Acker, Thorsten Wittkopp, Odej Kao:
Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts. CLUSTER 2021: 261-270 - [c40]Benjamin J. J. Pfister, Wolf S. Lickefett, Jan Nitschke, Sumit Paul, Morgan K. Geldenhuys, Dominik Scheinert, Kain Kordian Gontarska, Lauritz Thamsen:
Rafiki: Task-Level Capacity Planning in Distributed Stream Processing Systems. Euro-Par Workshops 2021: 352-363 - [c39]Robert Danicki, Martin Haug, Ilja Behnke, Laurenz Mädje, Lauritz Thamsen:
Detecting and Mitigating Network Packet Overloads on Real-Time Devices in IoT Systems. EdgeSys@EuroSys 2021: 25-30 - [c38]Jonathan Will, Lauritz Thamsen, Dominik Scheinert, Jonathan Bader, Odej Kao:
C3O: Collaborative Cluster Configuration Optimization for Distributed Data Processing in Public Clouds. IC2E 2021: 43-52 - [c37]Kain Kordian Gontarska, Morgan Geldenhuys, Dominik Scheinert, Philipp Wiesner, Andreas Polze, Lauritz Thamsen:
Evaluation of Load Prediction Techniques for Distributed Stream Processing. IC2E 2021: 91-98 - [c36]Morgan K. Geldenhuys, Jonathan Will, Benjamin J. J. Pfister, Martin Haug, Alexander Scharmann, Lauritz Thamsen:
Dependable IoT Data Stream Processing for Monitoring and Control of Urban Infrastructures. IC2E 2021: 244-250 - [c35]Martin Haug, Felix Lorenz, Lauritz Thamsen:
GRAL: Localization of Floating Wireless Sensors in Pipe Networks. IC2E 2021: 251-257 - [c34]David Bermbach, Abhishek Chandra, Chandra Krintz, Aniruddha Gokhale, Aleksander Slominski, Lauritz Thamsen, Everton Cavalcante, Tian Guo, Ivona Brandic, Rich Wolski:
On the Future of Cloud Engineering. IC2E 2021: 264-275 - [c33]Philipp Wiesner, Lauritz Thamsen:
LEAF: Simulating Large Energy-Aware Fog Computing Environments. ICFEC 2021: 29-36 - [c32]Jossekin Beilharz, Philipp Wiesner, Arne Boockmeyer, Lukas Pirl, Dirk Friedenberger, Florian Brokhausen, Ilja Behnke, Andreas Polze, Lauritz Thamsen:
Continuously Testing Distributed IoT Systems: An Overview of the State of the Art. ICSOC Workshops 2021: 336-350 - [c31]Dominik Scheinert, Houkun Zhu, Lauritz Thamsen, Morgan K. Geldenhuys, Jonathan Will, Alexander Acker, Odej Kao:
Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs using Graph Propagation. IPCCC 2021: 1-8 - [c30]Philipp Wiesner, Ilja Behnke, Dominik Scheinert, Kain Kordian Gontarska, Lauritz Thamsen:
Let's wait awhile: how temporal workload shifting can reduce carbon emissions in the cloud. Middleware 2021: 260-272 - [c29]Jossekin Beilharz, Philipp Wiesner, Arne Boockmeyer, Florian Brokhausen, Ilja Behnke, Robert Schmid, Lukas Pirl, Lauritz Thamsen:
Towards a Staging Environment for the Internet of Things. PerCom Workshops 2021: 312-315 - [c28]Franz Bender, Jan Jonas Brune, Nick Lauritz Keutel, Ilja Behnke, Lauritz Thamsen:
PIERES: A Playground for Network Interrupt Experiments on Real-Time Embedded Systems in the IoT. ICPE (Companion) 2021: 81-84 - [i29]Jossekin Beilharz, Philipp Wiesner, Arne Boockmeyer, Florian Brokhausen, Ilja Behnke, Robert Schmid, Lukas Pirl, Lauritz Thamsen:
Towards a Staging Environment for the Internet of Things. CoRR abs/2101.10697 (2021) - [i28]Ilja Behnke, Lukas Pirl, Lauritz Thamsen, Robert Danicki, Andreas Polze, Odej Kao:
Interrupting Real-Time IoT Tasks: How Bad Can It Be to Connect Your Critical Embedded System to the Internet? CoRR abs/2102.05559 (2021) - [i27]Morgan Geldenhuys, Lauritz Thamsen, Kain Kordian Gontarska, Felix Lorenz, Odej Kao:
Effectively Testing System Configurations of Critical IoT Analytics Pipelines. CoRR abs/2102.06094 (2021) - [i26]Morgan Geldenhuys, Lauritz Thamsen, Odej Kao:
Chiron: Optimizing Fault Tolerance in QoS-aware Distributed Stream Processing Jobs. CoRR abs/2102.06170 (2021) - [i25]Lauritz Thamsen, Ilya Verbitskiy, Sasho Nedelkoski, Vinh Thuy Tran, Vinícius Meyer, Miguel G. Xavier, Odej Kao, César A. F. De Rose:
Hugo: A Cluster Scheduler that Efficiently Learns to Select Complementary Data-Parallel Jobs. CoRR abs/2102.07199 (2021) - [i24]Franz Bender, Jan Jonas Brune, Nick Lauritz Keutel, Ilja Behnke, Lauritz Thamsen:
PIERES: A Playground for Network Interrupt Experiments on Real-Time Embedded Systems in the IoT. CoRR abs/2102.11623 (2021) - [i23]Philipp Wiesner, Lauritz Thamsen:
LEAF: Simulating Large Energy-Aware Fog Computing Environments. CoRR abs/2103.01170 (2021) - [i22]Dominik Scheinert, Alexander Acker, Lauritz Thamsen, Morgan K. Geldenhuys, Odej Kao:
Learning Dependencies in Distributed Cloud Applications to Identify and Localize Anomalies. CoRR abs/2103.05245 (2021) - [i21]Ana Juan Ferrer, Soeren Becker, Florian Schmidt, Lauritz Thamsen, Odej Kao:
Towards a Cognitive Compute Continuum: An Architecture for Ad-Hoc Self-Managed Swarms. CoRR abs/2103.06026 (2021) - [i20]Robert Danicki, Martin Haug, Ilja Behnke, Laurenz Mädje, Lauritz Thamsen:
Detecting and Mitigating Network Packet Overloads on Real-Time Devices in IoT Systems. CoRR abs/2104.02393 (2021) - [i19]Kain Kordian Gontarska, Weronika Wrazen, Jossekin Beilharz, Robert Schmid, Lauritz Thamsen, Andreas Polze:
Predicting Medical Interventions from Vital Parameters: Towards a Decision Support System for Remote Patient Monitoring. CoRR abs/2104.10085 (2021) - [i18]Jonathan Will, Lauritz Thamsen, Dominik Scheinert, Jonathan Bader, Odej Kao:
C3O: Collaborative Cluster Configuration Optimization for Distributed Data Processing in Public Clouds. CoRR abs/2107.13317 (2021) - [i17]Dominik Scheinert, Lauritz Thamsen, Houkun Zhu, Jonathan Will, Alexander Acker, Thorsten Wittkopp, Odej Kao:
Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts. CoRR abs/2107.13921 (2021) - [i16]Kain Kordian Gontarska, Morgan Geldenhuys, Dominik Scheinert, Philipp Wiesner, Andreas Polze, Lauritz Thamsen:
Evaluation of Load Prediction Techniques for Distributed Stream Processing. CoRR abs/2108.04749 (2021) - [i15]David Bermbach, Abhishek Chandra, Chandra Krintz, Aniruddha Gokhale, Aleksander Slominski, Lauritz Thamsen, Everton Cavalcante, Tian Guo, Ivona Brandic, Rich Wolski:
On the Future of Cloud Engineering. CoRR abs/2108.08685 (2021) - [i14]Morgan K. Geldenhuys, Jonathan Will, Benjamin J. J. Pfister, Martin Haug, Alexander Scharmann, Lauritz Thamsen:
Dependable IoT Data Stream Processing for Monitoring and Control of Urban Infrastructures. CoRR abs/2108.10721 (2021) - [i13]Dominik Scheinert, Houkun Zhu, Lauritz Thamsen, Morgan K. Geldenhuys, Jonathan Will, Alexander Acker, Odej Kao:
Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs using Graph Propagation. CoRR abs/2108.12211 (2021) - [i12]David Bermbach, Jonathan Bader, Jonathan Hasenburg, Tobias Pfandzelter, Lauritz Thamsen:
AuctionWhisk: Using an Auction-Inspired Approach for Function Placement in Serverless Fog Platforms. CoRR abs/2108.13222 (2021) - [i11]Martin Haug, Felix Lorenz, Lauritz Thamsen:
GRAL: Localization of Floating Wireless Sensors in Pipe Networks. CoRR abs/2109.00294 (2021) - [i10]Morgan K. Geldenhuys, Benjamin J. J. Pfister, Dominik Scheinert, Odej Kao, Lauritz Thamsen:
Khaos: Dynamically Optimizing Checkpointing for Dependable Distributed Stream Processing. CoRR abs/2109.02340 (2021) - [i9]Soeren Becker, Florian Schmidt, Lauritz Thamsen, Ana Juan Ferrer, Odej Kao:
LOS: Local-Optimistic Scheduling of Periodic Model Training For Anomaly Detection on Sensor Data Streams in Meshed Edge Networks. CoRR abs/2109.13009 (2021) - [i8]Philipp Wiesner, Ilja Behnke, Dominik Scheinert, Kain Kordian Gontarska, Lauritz Thamsen:
Let's Wait Awhile: How Temporal Workload Shifting Can Reduce Carbon Emissions in the Cloud. CoRR abs/2110.13234 (2021) - [i7]Jonathan Bader, Lauritz Thamsen, Svetlana Kulagina, Jonathan Will, Henning Meyerhenke, Odej Kao:
Tarema: Adaptive Resource Allocation for Scalable Scientific Workflows in Heterogeneous Clusters. CoRR abs/2111.05167 (2021) - [i6]Jonathan Will, Onur Arslan, Jonathan Bader, Dominik Scheinert, Lauritz Thamsen:
Training Data Reduction for Performance Models of Data Analytics Jobs in the Cloud. CoRR abs/2111.07904 (2021) - [i5]Dominik Scheinert, Alireza Alamgiralem, Jonathan Bader, Jonathan Will, Thorsten Wittkopp, Lauritz Thamsen:
On the Potential of Execution Traces for Batch Processing Workload Optimization in Public Clouds. CoRR abs/2111.08759 (2021) - [i4]Jossekin Beilharz, Philipp Wiesner, Arne Boockmeyer, Lukas Pirl, Dirk Friedenberger, Florian Brokhausen, Ilja Behnke, Andreas Polze, Lauritz Thamsen:
Continuously Testing Distributed IoT Systems: An Overview of the State of the Art. CoRR abs/2112.09580 (2021) - 2020
- [c27]Morgan K. Geldenhuys, Lauritz Thamsen, Odej Kao:
Chiron: Optimizing Fault Tolerance in QoS-aware Distributed Stream Processing Jobs. IEEE BigData 2020: 434-440 - [c26]Jonathan Will, Jonathan Bader, Lauritz Thamsen:
Towards Collaborative Optimization of Cluster Configurations for Distributed Dataflow Jobs. IEEE BigData 2020: 2851-2856 - [c25]Felix Lorenz, Morgan Geldenhuys, Harald Sommer, Frauke Jakobs, Carsten Lüring, Volker Skwarek, Ilja Behnke, Lauritz Thamsen:
A Scalable and Dependable Data Analytics Platform for Water Infrastructure Monitoring. IEEE BigData 2020: 3488-3493 - [c24]Felix Lorenz, Lauritz Thamsen, Andreas Wilke, Ilja Behnke, Jens Waldmüller-Littke, Ilya Komarov, Odej Kao, Manfred Paeschke:
Fingerprinting Analog IoT Sensors for Secret-Free Authentication. ICCCN 2020: 1-6 - [c23]Ilja Behnke, Lukas Pirl, Lauritz Thamsen, Robert Danicki, Andreas Polze, Odej Kao:
Interrupting Real-Time IoT Tasks: How Bad Can It Be to Connect Your Critical Embedded System to the Internet? IPCCC 2020: 1-6 - [i3]Felix Lorenz, Lauritz Thamsen, Andreas Wilke, Ilja Behnke, Jens Waldmüller-Littke, Ilya Komarov, Odej Kao, Manfred Paeschke:
Fingerprinting Analog IoT Sensors for Secret-Free Authentication. CoRR abs/2006.06296 (2020) - [i2]Jonathan Will, Jonathan Bader, Lauritz Thamsen:
Towards Collaborative Optimization of Cluster Configurations for Distributed Dataflow Jobs. CoRR abs/2011.07965 (2020) - [i1]Felix Lorenz, Morgan Geldenhuys, Harald Sommer, Frauke Jakobs, Carsten Lüring, Volker Skwarek, Ilja Behnke, Lauritz Thamsen:
A Scalable and Dependable Data Analytics Platform for Water Infrastructure Monitoring. CoRR abs/2012.00400 (2020)
2010 – 2019
- 2019
- [c22]Morgan K. Geldenhuys, Lauritz Thamsen, Kain Kordian Gontarska, Felix Lorenz, Odej Kao:
Effectively Testing System Configurations of Critical IoT Analytics Pipelines. IEEE BigData 2019: 4157-4162 - [c21]Sasho Nedelkoski, Lauritz Thamsen, Ilya Verbitskiy, Odej Kao:
Multilayer Active Learning for Efficient Learning and Resource Usage in Distributed IoT Architectures. EDGE 2019: 8-12 - [c20]Lauritz Thamsen, Ilya Verbitskiy, Sasho Nedelkoski, Vinh Thuy Tran, Vinícius Meyer, Miguel G. Xavier, Odej Kao, César A. F. De Rose:
Hugo: A Cluster Scheduler that Efficiently Learns to Select Complementary Data-Parallel Jobs. Euro-Par Workshops 2019: 519-530 - [c19]Ilja Behnke, Lauritz Thamsen, Odej Kao:
Héctor: A Framework for Testing IoT Applications Across Heterogeneous Edge and Cloud Testbeds. UCC Companion 2019: 15-20 - 2018
- [b1]Lauritz Thamsen:
Dynamic resource allocation for distributed dataflows. Technical University of Berlin, Germany, 2018 - [c18]Gerrit Jansen, Ilya Verbitskiy, Thomas Renner, Lauritz Thamsen:
Scheduling Stream Processing Tasks on Geo-Distributed Heterogeneous Resources. IEEE BigData 2018: 5159-5164 - [c17]Ilya Verbitskiy, Lauritz Thamsen, Thomas Renner, Odej Kao:
CoBell: Runtime Prediction for Distributed Dataflow Jobs in Shared Clusters. CloudCom 2018: 81-88 - 2017
- [c16]Lauritz Thamsen, Benjamin Rabier, Florian Schmidt, Thomas Renner, Odej Kao:
Scheduling Recurring Distributed Dataflow Jobs Based on Resource Utilization and Interference. BigData Congress 2017: 145-152 - [c15]Thomas Renner, Johannes Müller, Lauritz Thamsen, Odej Kao:
Addressing Hadoop's Small File Problem With an Appendable Archive File Format. Conf. Computing Frontiers 2017: 367-372 - [c14]Lauritz Thamsen, Ilya Verbitskiy, Jossekin Beilharz, Thomas Renner, Andreas Polze, Odej Kao:
Ellis: Dynamically Scaling Distributed Dataflows to Meet Runtime Targets. CloudCom 2017: 146-153 - [c13]Thomas Renner, Lauritz Thamsen, Odej Kao:
Adaptive Resource Management for Distributed Data Analytics based on Container-level Cluster Monitoring. DATA 2017: 38-47 - [c12]Jannis Koch, Lauritz Thamsen, Florian Schmidt, Odej Kao:
SMiPE: Estimating the Progress of Recurring Iterative Distributed Dataflows. PDCAT 2017: 156-163 - [c11]Lauritz Thamsen, Thomas Renner, Ilya Verbitskiy, Odej Kao:
Adaptive Resource Management for Distributed Data Analytics. TopHPC 2017: 155-170 - 2016
- [c10]Lauritz Thamsen, Thomas Renner, Marvin Byfeld, Markus Paeschke, Daniel Schroder, Felix Bohm:
Visually programming dataflows for distributed data analytics. IEEE BigData 2016: 2276-2285 - [c9]Thomas Renner, Lauritz Thamsen, Odej Kao:
CoLoc: Distributed data and container colocation for data-intensive applications. IEEE BigData 2016: 3008-3015 - [c8]Lauritz Thamsen, Thomas Renner, Odej Kao:
Continuously Improving the Resource Utilization of Iterative Parallel Dataflows. ICDCS Workshops 2016: 1-6 - [c7]Lauritz Thamsen, Ilya Verbitskiy, Florian Schmidt, Thomas Renner, Odej Kao:
Selecting resources for distributed dataflow systems according to runtime targets. IPCCC 2016: 1-8 - [c6]Ilya Verbitskiy, Lauritz Thamsen, Odej Kao:
When to Use a Distributed Dataflow Engine: Evaluating the Performance of Apache Flink. UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld 2016: 698-705 - 2015
- [c5]Thomas Renner, Lauritz Thamsen, Odej Kao:
Network-aware resource management for scalable data analytics frameworks. IEEE BigData 2015: 2793-2800 - [c4]Tim Felgentreff, Jens Lincke, Robert Hirschfeld, Lauritz Thamsen:
Lively groups: shared behavior in a world of objects without classes or prototypes. FPW@SPLASH 2015: 15-22 - [c3]Alexander Alexandrov, Andreas Kunft, Asterios Katsifodimos, Felix Schüler, Lauritz Thamsen, Odej Kao, Tobias Herb, Volker Markl:
Implicit Parallelism through Deep Language Embedding. SIGMOD Conference 2015: 47-61 - 2014
- [c2]Bastian Steinert, Lauritz Thamsen, Tim Felgentreff, Robert Hirschfeld:
Object versioning to support recovery needs: using proxies to preserve previous development states in lively. DLS 2014: 113-124 - 2012
- [c1]Lauritz Thamsen, Anton Gulenko, Michael Perscheid, Robert Krahn, Robert Hirschfeld, David A. Thomas:
Orca: A Single-Language Web Framework for Collaborative Development. C5 2012: 45-52
Coauthor Index
Morgan Geldenhuys
aka: Morgan K. Geldenhuys
aka: Morgan K. Geldenhuys
[j6] [c72] [c70] [c69] [i57] [i55] [i53] [j5] [c67] [c62] [i50] [i49] [i48] [i47] [i46] [i45] [j3] [c61] [c60] [c59] [c58] [c57] [c56] [c54] [c53] [c52] [c51] [c50] [c48] [i41] [i40] [i39] [i38] [i37] [i36] [i35] [i34] [i33] [i32] [i31] [i30] [j1] [c47] [c45] [c42] [c41] [c38] [c31] [i28] [i27] [i26] [i25] [i22] [i21] [i18] [i17] [i13] [i10] [i9] [i7] [c27] [c24] [c23] [i3] [c22] [c21] [c20] [c19] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c9] [c8] [c7] [c6] [c5] [c3]
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