Jonathan Will

According to our database, Jonathan Will authored at least 19 papers between 2020 and 2024.

Collaborative distances:

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

2024

Privacy-Preserving Sharing of Data Analytics Runtime Metrics for Performance Modeling.

Jonathan Will, Dominik Scheinert, Seraphin Zunzer, Jan Bode, Cedric Kring, Lauritz Thamsen

Proceedings of the Companion of the 15th ACM/SPEC International Conference on Performance Engineering, 2024

Sizey: Memory-Efficient Execution of Scientific Workflow Tasks.

Jonathan Bader, Fabian Skalski, Fabian Lehmann, Dominik Scheinert, Jonathan Will, Lauritz Thamsen, Odej Kao

Proceedings of the IEEE International Conference on Cluster Computing, 2024

2023

Karasu: A Collaborative Approach to Efficient Cluster Configuration for Big Data Analytics.

Dominik Scheinert, Philipp Wiesner, Thorsten Wittkopp, Lauritz Thamsen, Jonathan Will, Odej Kao

CoRR, 2023

Selecting Efficient Cluster Resources for Data Analytics: When and How to Allocate for In-Memory Processing?

Jonathan Will, Lauritz Thamsen, Dominik Scheinert, Odej Kao

Proceedings of the 35th International Conference on Scientific and Statistical Database Management, 2023

Towards a Peer-to-Peer Data Distribution Layer for Efficient and Collaborative Resource Optimization of Distributed Dataflow Applications.

Dominik Scheinert, Sören Becker, Jonathan Will, Luis Englaender, Lauritz Thamsen

Proceedings of the IEEE International Conference on Big Data, 2023

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

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

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

2021

Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs using Graph Propagation.

Dominik Scheinert, Houkun Zhu, Lauritz Thamsen, Morgan K. Geldenhuys, Jonathan Will, Alexander Acker, Odej Kao

Proceedings of the IEEE International Performance, 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

Dependable IoT Data Stream Processing for Monitoring and Control of Urban Infrastructures.

Morgan K. Geldenhuys, Jonathan Will, Benjamin J. J. Pfister, Martin Haug, Alexander Scharmann, Lauritz Thamsen

Proceedings of the IEEE International Conference on Cloud Engineering, 2021

Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts.

Dominik Scheinert, Lauritz Thamsen, Houkun Zhu, Jonathan Will, Alexander Acker, Thorsten Wittkopp, Odej Kao

Proceedings of the IEEE International Conference on Cluster Computing, 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