Jonathan Bader

According to our database, Jonathan Bader authored at least 22 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Lotaru: Locally predicting workflow task runtimes for resource management on heterogeneous infrastructures.

Jonathan Bader, Fabian Lehmann, Lauritz Thamsen, Ulf Leser, Odej Kao

Future Gener. Comput. Syst., January, 2024

2023

The Common Workflow Scheduler Interface: Status Quo and Future Plans.

Fabian Lehmann, Jonathan Bader, Lauritz Thamsen, Ulf Leser

CoRR, 2023

Workflows Community Summit 2022: A Roadmap Revolution.

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 E. 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.

CoRR, 2023

Novel Approaches Toward Scalable Composable Workflows in Hyper-Heterogeneous Computing Environments.

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

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

How Workflow Engines Should Talk to Resource Managers: A Proposal for a Common Workflow Scheduling Interface.

Fabian Lehmann, Jonathan Bader, Friedrich Tschirpke, Lauritz Thamsen, Ulf Leser

Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

Predicting Dynamic Memory Requirements for Scientific Workflow Tasks.

Jonathan Bader, Nils Diedrich, Lauritz Thamsen, Odej Kao

Proceedings of the IEEE International Conference on Big Data, 2023

2022

AuctionWhisk: Using an auction-inspired approach for function placement in serverless fog platforms.

David Bermbach, Jonathan Bader, Jonathan Hasenburg, Tobias Pfandzelter, Lauritz Thamsen

Softw. Pract. Exp., 2022

Collaborative Cluster Configuration for Distributed Data-Parallel Processing: A Research Overview.

Lauritz Thamsen, Dominik Scheinert, Jonathan Will, Jonathan Bader, Odej Kao

Datenbank-Spektrum, 2022

Lotaru: Locally Estimating Runtimes of Scientific Workflow Tasks in Heterogeneous Clusters.

Jonathan Bader, Fabian Lehmann, Lauritz Thamsen, Jonathan Will, Ulf Leser, Odej Kao

Proceedings of the SSDBM 2022: 34th International Conference on Scientific and Statistical Database Management, Copenhagen, Denmark, July 6, 2022

Reshi: Recommending Resources for Scientific Workflow Tasks on Heterogeneous Infrastructures.

Jonathan Bader, Fabian Lehmann, Alexander Groth, Lauritz Thamsen, Dominik Scheinert, Jonathan Will, Ulf Leser, Odej Kao

Proceedings of the IEEE International Performance, 2022

Macaw: The Machine Learning Magnetometer Calibration Workflow.

Jonathan Bader, Kevin Styp-Rekowski, Leon Doehler, Soeren Becker, Odej Kao

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Get Your Memory Right: The Crispy Resource Allocation Assistant for Large-Scale Data Processing.

Jonathan Will, Lauritz Thamsen, Jonathan Bader, Dominik Scheinert, Odej Kao

Proceedings of the IEEE International Conference on Cloud Engineering, 2022

SyncMesh: improving data locality for function-as-a-service in meshed edge networks.

Daniel Habenicht, Kevin Kreutz, Soeren Becker, Jonathan Bader, Lauritz Thamsen, Odej Kao

Proceedings of the EdgeSys@EuroSys 2022: Proceedings of the 5th International Workshop on Edge Systems, Analytics and Networking, Rennes, France, April 5, 2022

Ruya: Memory-Aware Iterative Optimization of Cluster Configurations for Big Data Processing.

Jonathan Will, Lauritz Thamsen, Jonathan Bader, Dominik Scheinert, Odej Kao

Proceedings of the IEEE International Conference on Big Data, 2022

Perona: Robust Infrastructure Fingerprinting for Resource-Efficient Big Data Analytics.

Dominik Scheinert, Soeren Becker, Jonathan Bader, Lauritz Thamsen, Jonathan Will, Odej Kao

Proceedings of the IEEE International Conference on Big Data, 2022

Leveraging Reinforcement Learning for Task Resource Allocation in Scientific Workflows.

Jonathan Bader, Nicolas Zunker, Soeren Becker, Odej Kao

Proceedings of the IEEE International Conference on Big Data, 2022

Towards Advanced Monitoring for Scientific Workflows.

Jonathan Bader, Joel Witzke, Soeren Becker, Ansgar Lößer, Fabian Lehmann, Leon Doehler, Anh Duc Vu, Odej Kao

Proceedings of the IEEE International Conference on Big Data, 2022

2021

C3O: Collaborative Cluster Configuration Optimization for Distributed Data Processing in Public Clouds.

Jonathan Will, Lauritz Thamsen, Dominik Scheinert, Jonathan Bader, Odej Kao

Proceedings of the IEEE International Conference on Cloud Engineering, 2021

Training Data Reduction for Performance Models of Data Analytics Jobs in the Cloud.

Jonathan Will, Onur Arslan, Jonathan Bader, Dominik Scheinert, Lauritz Thamsen

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

On the Potential of Execution Traces for Batch Processing Workload Optimization in Public Clouds.

Dominik Scheinert, Alireza Alamgiralem, Jonathan Bader, Jonathan Will, Thorsten Wittkopp, Lauritz Thamsen

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Tarema: Adaptive Resource Allocation for Scalable Scientific Workflows in Heterogeneous Clusters.

Jonathan Bader, Lauritz Thamsen, Svetlana Kulagina, Jonathan Will, Henning Meyerhenke, Odej Kao

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Towards Collaborative Optimization of Cluster Configurations for Distributed Dataflow Jobs.

Jonathan Will, Jonathan Bader, Lauritz Thamsen

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020