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Jonathan Bader
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2020 – today
- 2024
- [j3]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) - [i22]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) - 2023
- [c17]Jonathan Bader, Nils Diedrich, Lauritz Thamsen, Odej Kao:
Predicting Dynamic Memory Requirements for Scientific Workflow Tasks. IEEE Big Data 2023: 182-189 - [c16]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 - [c15]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 - [i21]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) - [i20]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.:
Workflows Community Summit 2022: A Roadmap Revolution. CoRR abs/2304.00019 (2023) - [i19]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) - [i18]Jonathan Bader, Nils Diedrich, Lauritz Thamsen, Odej Kao:
Predicting Dynamic Memory Requirements for Scientific Workflow Tasks. CoRR abs/2311.08185 (2023) - [i17]Fabian Lehmann, Jonathan Bader, Lauritz Thamsen, Ulf Leser:
The Common Workflow Scheduler Interface: Status Quo and Future Plans. CoRR abs/2311.15929 (2023) - 2022
- [j2]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) - [j1]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) - [c14]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 - [c13]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 - [c12]Jonathan Bader, Joel Witzke, Soeren Becker, Ansgar Lößer, Fabian Lehmann
, Leon Doehler, Anh Duc Vu, Odej Kao:
Towards Advanced Monitoring for Scientific Workflows. IEEE Big Data 2022: 2709-2715 - [c11]Jonathan Bader, Nicolas Zunker, Soeren Becker, Odej Kao:
Leveraging Reinforcement Learning for Task Resource Allocation in Scientific Workflows. IEEE Big Data 2022: 3714-3719 - [c10]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 - [c9]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 - [c8]Jonathan Bader, Kevin Styp-Rekowski, Leon Doehler, Soeren Becker, Odej Kao:
Macaw: The Machine Learning Magnetometer Calibration Workflow. ICDM (Workshops) 2022: 1095-1101 - [c7]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 - [c6]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 - [i16]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) - [i15]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) - [i14]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) - [i13]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) - [i12]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) - [i11]Jonathan Bader, Kevin Styp-Rekowski, Leon Doehler, Soeren Becker, Odej Kao:
Macaw: The Machine Learning Magnetometer Calibration Workflow. CoRR abs/2210.08897 (2022) - [i10]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) - [i9]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) - [i8]Jonathan Bader, Nicolas Zunker, Soeren Becker, Odej Kao:
Leveraging Reinforcement Learning for Task Resource Allocation in Scientific Workflows. CoRR abs/2211.12076 (2022) - [i7]Jonathan Bader, Joel Witzke, Soeren Becker, Ansgar Lößer, Fabian Lehmann, Leon Doehler, Anh Duc Vu, Odej Kao:
Towards Advanced Monitoring for Scientific Workflows. CoRR abs/2211.12744 (2022) - 2021
- [c5]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 - [c4]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 - [c3]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 - [c2]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 - [i6]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) - [i5]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) - [i4]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) - [i3]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) - [i2]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) - 2020
- [c1]Jonathan Will, Jonathan Bader, Lauritz Thamsen:
Towards Collaborative Optimization of Cluster Configurations for Distributed Dataflow Jobs. IEEE BigData 2020: 2851-2856 - [i1]Jonathan Will, Jonathan Bader, Lauritz Thamsen:
Towards Collaborative Optimization of Cluster Configurations for Distributed Dataflow Jobs. CoRR abs/2011.07965 (2020)
Coauthor Index
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last updated on 2024-08-20 20:28 CEST by the dblp team
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