Jonathan Bader

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 42

Top Topics

Iterative Optimization

Resource Manager

Scientific Workflows

Execution Traces

Top Venues

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)
Jonathan Bader, Fabian Skalski, Fabian Lehmann, Dominik Scheinert, Jonathan Will, Lauritz Thamsen, Odej Kao
Sizey: Memory-Efficient Execution of Scientific Workflow Tasks. CoRR (2024)
Jonathan Bader, Nils Diedrich, Lauritz Thamsen, Odej Kao
Predicting Dynamic Memory Requirements for Scientific Workflow Tasks. CoRR (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)
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)
Rafael Ferreira da Silva, Rosa M. Badia, Venkat Bala, Debbie Bard, Peer-Timo Bremer, Ian Buckley, Silvina Caíno-Lores, Kyle Chard, Carole A. Goble, Shantenu Jha, Daniel S. Katz, Daniel Laney, Manish Parashar, Frédéric Suter, Nick Tyler, Thomas D. Uram, Ilkay Altintas, Stefan Andersson, William Arndt, Juan Aznar, Jonathan Bader, Bartosz Balis, Chris Blanton, Kelly Rosa Braghetto, Aharon Brodutch, Paul Brunk, Henri Casanova, Alba Cervera-Lierta, Justin Chigu, Tainã Coleman, Nick Collier, Iacopo Colonnelli, Frederik Coppens, Michael R. Crusoe, Will Cunningham, Bruno de Paula Kinoshita, Paolo Di Tommaso, Charles M. Doutriaux, Matthew Downton, Wael R. Elwasif, Bjoern Enders, Chris Erdmann, Thomas Fahringer, Ludmilla Figueiredo, Rosa Filgueira, Martin Foltin, Anne Fouilloux, Luiz Gadelha, Andy Gallo, Artur García-Sáez, et al.
Workflows Community Summit 2022: A Roadmap Revolution. 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)
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)
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)
Jonathan Bader, Nicolas Zunker, Sören Becker, Odej Kao
Leveraging Reinforcement Learning for Task Resource Allocation in Scientific Workflows. 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. EdgeSys@EuroSys (2022)
Jonathan Bader, Kevin Styp-Rekowski, Leon Doehler, Sören Becker, Odej Kao
Macaw: The Machine Learning Magnetometer Calibration Workflow. CoRR (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)
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)
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)
Jonathan Bader, Joel Witzke, Sören Becker, Ansgar Lößer, Fabian Lehmann, Leon Doehler, Anh Duc Vu, Odej Kao
Towards Advanced Monitoring for Scientific Workflows. 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)
Jonathan Bader, Kevin Styp-Rekowski, Leon Doehler, Soeren Becker, Odei Kao
Macaw: The Machine Learning Magnetometer Calibration Workflow. ICDM (Workshops) (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)
Jonathan Bader, Nicolas Zunker, Soeren Becker, Odej Kao
Leveraging Reinforcement Learning for Task Resource Allocation in Scientific Workflows. Big Data (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)
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)
Jonathan Bader, Joel Witzke, Soeren Becker, Ansgar Lößer, Fabian Lehmann, Leon Doehler, Anh Duc Vu, Odej Kao
Towards Advanced Monitoring for Scientific Workflows. Big Data (2022)
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)
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)
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)
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)
Jonathan Will, Lauritz Thamsen, Dominik Scheinert, Jonathan Bader, Odej Kao
C3O: Collaborative Cluster Configuration Optimization for Distributed Data Processing in Public Clouds. 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)
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)
Jonathan Will, Jonathan Bader, Lauritz Thamsen
Towards Collaborative Optimization of Cluster Configurations for Distributed Dataflow Jobs. CoRR (2020)
Jonathan Will, Jonathan Bader, Lauritz Thamsen
Towards Collaborative Optimization of Cluster Configurations for Distributed Dataflow Jobs. IEEE BigData (2020)