Jonathan Will

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 36

Top Topics

Iterative Optimization

Distributed Data

Efficient Execution

Autonomy Oriented Computing

Top Venues

Publications

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 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)
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)
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)
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)
Lauritz Thamsen, Dominik Scheinert, Jonathan Will, Jonathan Bader, Odej Kao
Collaborative Cluster Configuration for Distributed Data-Parallel Processing: A Research Overview. 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, 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 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 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)
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)
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)
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)
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)
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)
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, Lauritz Thamsen, Houkun Zhu, Jonathan Will, Alexander Acker, Thorsten Wittkopp, Odej Kao
Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts. CLUSTER (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)
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)
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)