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2020 – today
- 2023
[i45]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)- [i44]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) - [i43]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) - 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. 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. 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. 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
[i43] [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]