Jonathan Will

Distributed and Operating Systems

Full-Time Research Staff & PhD Candidate

Contact: will ∂ tu-berlin.de

Consultation: By appointment.
Advance notification by email is requested.

Publications

2023

Scheinert, Dominik; Wiesner, Philipp; Wittkopp, Thorsten; Thamsen, Lauritz; Will, Jonathan; Kao, Odej
Karasu: A Collaborative Approach to Efficient Cluster Configuration for Big Data Analytics
42th International Performance Computing and Communications Conference (IPCCC)
Publisher: IEEE
November 2023

File: https://arxiv.org/pdf/2308.11792.pdf

Will, Jonathan; Thamsen, Lauritz; Scheinert, Dominik; Kao, Odej
Selecting Efficient Cluster Resources for Data Analytics: When and How to Allocate for In-Memory Processing?
International Conference on Scientific and Statistical Database Management (SSDBM), Page 1–4
Publisher: ACM
2023

DOI: 10.1145/3603719.3603733
File: https://arxiv.org/pdf/2306.03672

2022

Scheinert, Dominik; Becker, Soeren; Bader, Jonathan; Thamsen, Lauritz; Will, Jonathan; Kao, Odej
Perona: Robust Infrastructure Fingerprinting for Resource-Efficient Big Data Analytics
IEEE International Conference on Big Data (BigData), Page 209–216
Publisher: IEEE
December 2022

File: https://doi.org/10.1109/BigData55660.2022.10020860

Will, Jonathan; Thamsen, Lauritz; Bader, Jonathan; Scheinert, Dominik; Kao, Odej
Ruya: Memory-Aware Iterative Optimization of Cluster Configurations for Big Data Processing
IEEE International Conference on Big Data (BigData), Page 161–169
Publisher: IEEE
December 2022

File: https://doi.org/10.1109/BigData55660.2022.10020295

Bader, Jonathan; Lehmann, Fabian; Groth, Alexander; Thamsen, Lauritz; Scheinert, Dominik; Will, Jonathan; Leser, Ulf; Kao, Odej
Reshi: Recommending Resources for Scientific Workflow Tasks on Heterogeneous Infrastructures
41th International Performance Computing and Communications Conference (IPCCC), Page 269–274
Publisher: IEEE
November 2022

DOI: https://doi.org/10.1109/IPCCC55026.2022.9894299
File: https://arxiv.org/pdf/2208.07905.pdf

Will, Jonathan; Thamsen, Lauritz; Bader, Jonathan; Scheinert, Dominik; Kao, Odej
Get Your Memory Right: The Crispy Resource Allocation Assistant for Large-Scale Data Processing
IEEE International Conference on Cloud Engineering (IC2E), Page 58–66
Publisher: IEEE
September 2022

File: https://arxiv.org/abs/2206.13852

Bader, Jonathan; Lehmann, Fabian; Thamsen, Lauritz; Will, Jonathan; Leser, Ulf; Kao, Odej
Lotaru: Locally Estimating Runtimes of Scientific Workflow Tasks in Heterogeneous Clusters
34th International Conference on Scientific and Statistical Database Management (SSDBM), Page 1–12
Publisher: ACM
July 2022

DOI: 10.1145/3538712.3538739
File: http://arxiv.org/abs/2205.11181

Thamsen, Lauritz; Scheinert, Dominik; Will, Jonathan; Bader, Jonathan; Kao, Odej
Collaborative Cluster Configuration for Distributed Data-Parallel Processing: A Research Overview
Datenbank-Spektrum
May 2022
Publisher: Springer

File: https://doi.org/10.1007/s13222-022-00416-z

2021

Scheinert, Dominik; Alamgiralem, Alireza; Bader, Jonathan; Will, Jonathan; Wittkopp, Thorsten; Thamsen, Lauritz
On the Potential of Execution Traces for Batch Processing Workload Optimization in Public Clouds
2021 IEEE International Conference on Big Data, Page 3113–3118
Publisher: IEEE
December 2021

File: https://ieeexplore.ieee.org/document/9671275

Bader, Jonathan; Thamsen, Lauritz; Kulagina, Svetlana; Will, Jonathan; Meyerhenke, Henning; Kao, Odej
Tarema: Adaptive Resource Allocation for Scalable Scientific Workflows in Heterogeneous Clusters
2021 IEEE International Conference on Big Data, Page 65–75
Publisher: IEEE
December 2021

DOI: https://doi.org/10.1109/BigData52589.2021.9671519
File: https://arxiv.org/abs/2111.05167

Scheinert, Dominik; Zhu, Houkun; Thamsen, Lauritz; Geldenhuys, Morgan K.; Will, Jonathan; Acker, Alexander; Kao, Odej
Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs using Graph Propagation
40th IEEE International Performance Computing and Communications Conference, Page 1–8
Publisher: IEEE
October 2021

File: https://ieeexplore.ieee.org/document/9679361

Scheinert, Dominik; Thamsen, Lauritz; Zhu, Houkun; Will, Jonathan; Acker, Alexander; Wittkopp, Thorsten; Kao, Odej
Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts
2021 IEEE International Conference on Cluster Computing (CLUSTER), Page 261–270
Publisher: IEEE
September 2021

File: https://ieeexplore.ieee.org/document/9555951

Will, Jonathan; Thamsen, Lauritz; Scheinert, Dominik; Bader, Jonathan; Kao, Odej
C3O: Collaborative Cluster Configuration Optimization for Distributed Data Processing in Public Clouds
International Conference on Cloud Engineering, Page 43–52
Publisher: IEEE
2021

File: https://doi.org/10.1109/IC2E52221.2021.00018

Geldenhuys, Morgan K.; Will, Jonathan; Pfister, Benjamin; Haug, Martin; Scharmann, Alexander; Thamsen, Lauritz
Dependable IoT Data Stream Processing for Monitoring and Control of Urban Infrastructures
IEEE International Conference on Cloud Engineering, Page 244–250
Publisher: IEEE
2021

File: https://arxiv.org/pdf/2108.10721

Will, Jonathan; Arslan, Onur; Bader, Jonathan; Scheinert, Dominik; Thamsen, Lauritz
Training Data Reduction for Performance Models of Data Analytics Jobs in the Cloud
International Conference on Big Data, Page 3141–3146
Publisher: IEEE
2021

File: https://doi.org/10.1109/BigData52589.2021.9671742

2020

Will, Jonathan; Bader, Jonathan; Thamsen, Lauritz
Towards Collaborative Optimization of Cluster Configurations for Distributed Dataflow Jobs
2020 IEEE International Conference on Big Data, Page 2851–2856
Publisher: IEEE
December 2020

ISBN: 978-1-7281-6251-5
File: https://arxiv.org/pdf/2011.07965