Lauritz Thamsen

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 126

Top Venues

Technical University of Berlin, Germany (PHD)

Education History

Technical University of Berlin, Germany

PHD

Publications

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 (2024)
Philipp Wiesner, Ramin Khalili, Dennis Grinwald, Pratik Agrawal, Lauritz Thamsen, Odej Kao
FedZero: Leveraging Renewable Excess Energy in Federated Learning. e-Energy (2024)
Jonathan Bader, Fabian Skalski, Fabian Lehmann, Dominik Scheinert, Jonathan Will, Lauritz Thamsen, Odej Kao
Sizey: Memory-Efficient Execution of Scientific Workflow Tasks. CoRR (2024)
Morgan K. Geldenhuys, Dominik Scheinert, Odej Kao, Lauritz Thamsen
Demeter: Resource-Efficient Distributed Stream Processing under Dynamic Loads with Multi-Configuration Optimization. ICPE (2024)
Morgan Geldenhuys, Dominik Scheinert, Odej Kao, Lauritz Thamsen
Demeter: Resource-Efficient Distributed Stream Processing under Dynamic Loads with Multi-Configuration Optimization. CoRR (2024)
Jonathan Will, Dominik Scheinert, Jan Bode, Cedric Kring, Seraphin Zunzer, Lauritz Thamsen
Privacy-Preserving Sharing of Data Analytics Runtime Metrics for Performance Modeling. CoRR (2024)
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)
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 (2023)
Demetris Trihinas, Lauritz Thamsen, Jossekin Beilharz, Moysis Symeonides
Towards Energy Consumption and Carbon Footprint Testing for AI-driven IoT Services. CoRR (2023)
Jonathan Bader, Nils Diedrich, Lauritz Thamsen, Odej Kao
Predicting Dynamic Memory Requirements for Scientific Workflow Tasks. CoRR (2023)
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 (2023)
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)
Jonathan Bader, Nils Diedrich, Lauritz Thamsen, Odej Kao
Predicting Dynamic Memory Requirements for Scientific Workflow Tasks. BigData (2023)
Demetris Trihinas, Lauritz Thamsen
Towards Energy-Aware Machine Learning in Geo-Distributed IoT Settings. Euro-Par Workshops (2023)
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 (2023)
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)
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. BigData (2023)
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)
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 (2023)
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 (2023)
Philipp Wiesner, Ramin Khalili, Dennis Grinwald, Pratik Agrawal, Lauritz Thamsen, Odej Kao
FedZero: Leveraging Renewable Excess Energy in Federated Learning. CoRR (2023)
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 (2023)
Fabian Lehmann, Jonathan Bader, Lauritz Thamsen, Ulf Leser
The Common Workflow Scheduler Interface: Status Quo and Future Plans. CoRR (2023)
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) (2023)
Jonathan Bader, Fabian Lehmann, Lauritz Thamsen, Ulf Leser, Odej Kao
Lotaru: Locally Predicting Workflow Task Runtimes for Resource Management on Heterogeneous Infrastructures. CoRR (2023)
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 (2022)
Jonathan Will, Lauritz Thamsen, Jonathan Bader, Dominik Scheinert, Odej Kao
Ruya: Memory-Aware Iterative Optimization of Cluster Configurations for Big Data Processing. CoRR (2022)
Morgan K. Geldenhuys, Dominik Scheinert, Odej Kao, Lauritz Thamsen
Phoebe: QoS-Aware Distributed Stream Processing through Anticipating Dynamic Workloads. CoRR (2022)
Daniel Habenicht, Kevin Kreutz, Sören Becker, Jonathan Bader, Lauritz Thamsen, Odej Kao
SyncMesh: Improving Data Locality for Function-as-a-Service in Meshed Edge Networks. CoRR (2022)
Lauritz Thamsen, Dominik Scheinert, Jonathan Will, Jonathan Bader, Odej Kao
Collaborative Cluster Configuration for Distributed Data-Parallel Processing: A Research Overview. CoRR (2022)
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 (2022)
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)
Philipp Wiesner, Dominik Scheinert, Thorsten Wittkopp, Lauritz Thamsen, Odej Kao
Cucumber: Renewable-Aware Admission Control for Delay-Tolerant Cloud and Edge Workloads. CoRR (2022)
Dominik Scheinert, Babak Sistani Zadeh Aghdam, Sören Becker, Odej Kao, Lauritz Thamsen
Probabilistic Time Series Forecasting for Adaptive Monitoring in Edge Computing Environments. CoRR (2022)
Morgan Geldenhuys, Benjamin J. J. Pfister, Dominik Scheinert, Lauritz Thamsen, Odej Kao
Khaos: Dynamically Optimizing Checkpointing for Dependable Distributed Stream Processing. FedCSIS (2022)
Daniel Habenicht, Kevin Kreutz, Sören Becker, Jonathan Bader, Lauritz Thamsen, Odej Kao
SyncMesh: improving data locality for function-as-a-service in meshed edge networks. EdgeSys@EuroSys (2022)
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)
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)
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)
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) (2022)
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)
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)
Christoph Blumschein, Ilja Behnke, Lauritz Thamsen, Odej Kao
Differentiating Network Flows for Priority-Aware Scheduling of Incoming Packets in Real-Time IoT Systems. CoRR (2022)
Jonathan Bader, Fabian Lehmann, Lauritz Thamsen, Jonathan Will, Ulf Leser, Odej Kao
Lotaru: Locally Estimating Runtimes of Scientific Workflow Tasks in Heterogeneous Clusters. CoRR (2022)
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)
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)
Dominik Scheinert, Sören Becker, Jonathan Bader, Lauritz Thamsen, Jonathan Will, Odej Kao
Perona: Robust Infrastructure Fingerprinting for Resource-Efficient Big Data Analytics. CoRR (2022)
Ilja Behnke, Philipp Wiesner, Robert Danicki, Lauritz Thamsen
A Priority-Aware Multiqueue NIC Design. CoRR (2022)
Morgan K. Geldenhuys, Dominik Scheinert, Odej Kao, Lauritz Thamsen
Phoebe: QoS-Aware Distributed Stream Processing through Anticipating Dynamic Workloads. ICWS (2022)
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) (2022)
Demetris Trihinas, Lauritz Thamsen, Jossekin Beilharz, Moysis Symeonides
Towards Energy Consumption and Carbon Footprint Testing for AI-driven IoT Services. IC2E (2022)
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 (2022)
Ilja Behnke, Philipp Wiesner, Robert Danicki, Lauritz Thamsen
A priority-aware multiqueue NIC design for real-time IoT devices. SAC (2022)
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)
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 (2021)
Philipp Wiesner, Lauritz Thamsen
LEAF: Simulating Large Energy-Aware Fog Computing Environments. CoRR (2021)
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)
Ana Juan Ferrer, Sören Becker, Florian Schmidt, Lauritz Thamsen, Odej Kao
Towards a Cognitive Compute Continuum: An Architecture for Ad-Hoc Self-Managed Swarms. CoRR (2021)
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)
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)
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)
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)
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 (2021)
Jonathan Will, Onur Arslan, Jonathan Bader, Dominik Scheinert, Lauritz Thamsen
Training Data Reduction for Performance Models of Data Analytics Jobs in the Cloud. CoRR (2021)
David Bermbach, Jonathan Bader, Jonathan Hasenburg, Tobias Pfandzelter, Lauritz Thamsen
AuctionWhisk: Using an Auction-Inspired Approach for Function Placement in Serverless Fog Platforms. CoRR (2021)
Martin Haug, Felix Lorenz, Lauritz Thamsen
GRAL: Localization of Floating Wireless Sensors in Pipe Networks. IC2E (2021)
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 (2021)
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)
Jonathan Will, Lauritz Thamsen, Dominik Scheinert, Jonathan Bader, Odej Kao
C3O: Collaborative Cluster Configuration Optimization for Distributed Data Processing in Public Clouds. CoRR (2021)
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)
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 (2021)
Kain Kordian Gontarska, Morgan Geldenhuys, Dominik Scheinert, Philipp Wiesner, Andreas Polze, Lauritz Thamsen
Evaluation of Load Prediction Techniques for Distributed Stream Processing. CoRR (2021)
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 (2021)
Martin Haug, Felix Lorenz, Lauritz Thamsen
GRAL: Localization of Floating Wireless Sensors in Pipe Networks. CoRR (2021)
Morgan Geldenhuys, Lauritz Thamsen, Kain Kordian Gontarska, Felix Lorenz, Odej Kao
Effectively Testing System Configurations of Critical IoT Analytics Pipelines. CoRR (2021)
Jonathan Will, Lauritz Thamsen, Dominik Scheinert, Jonathan Bader, Odej Kao
C3O: Collaborative Cluster Configuration Optimization for Distributed Data Processing in Public Clouds. IC2E (2021)
Jonathan Bader, Lauritz Thamsen, Svetlana Kulagina, Jonathan Will, Henning Meyerhenke, Odej Kao
Tarema: Adaptive Resource Allocation for Scalable Scientific Workflows in Heterogeneous Clusters. CoRR (2021)
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 (2021)
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 (2021)
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)
Robert Danicki, Martin Haug, Ilja Behnke, Laurenz Mädje, Lauritz Thamsen
Detecting and Mitigating Network Packet Overloads on Real-Time Devices in IoT Systems. CoRR (2021)
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)
Sören 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)
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)
Dominik Scheinert, Alexander Acker, Lauritz Thamsen, Morgan K. Geldenhuys, Odej Kao
Learning Dependencies in Distributed Cloud Applications to Identify and Localize Anomalies. CoRR (2021)
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)
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)
Kain Kordian Gontarska, Morgan Geldenhuys, Dominik Scheinert, Philipp Wiesner, Andreas Polze, Lauritz Thamsen
Evaluation of Load Prediction Techniques for Distributed Stream Processing. IC2E (2021)
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 (2021)
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 (2021)
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 (2021)
Morgan Geldenhuys, Lauritz Thamsen, Odej Kao
Chiron: Optimizing Fault Tolerance in QoS-aware Distributed Stream Processing Jobs. CoRR (2021)
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)
Sören 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 (2021)
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)
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 (2021)
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)
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)
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 (2021)
Philipp Wiesner, Lauritz Thamsen
LEAF: Simulating Large Energy-Aware Fog Computing Environments. ICFEC (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Lauritz Thamsen