Towards Collaborative Optimization of Cluster Configurations for Distributed Dataflow Jobs. - Jonathan Will; Jonathan Bader; Lauritz Thamsen (IEEE BigData, 2020)

Tarema: Adaptive Resource Allocation for Scalable Scientific Workflows in Heterogeneous Clusters. - Jonathan Bader; Lauritz Thamsen; Svetlana Kulagina; Jonathan Will; Henning Meyerhenke; Odej Kao (IEEE BigData, 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 (IEEE BigData, 2021)

Training Data Reduction for Performance Models of Data Analytics Jobs in the Cloud. - Jonathan Will; Onur Arslan; Jonathan Bader; Dominik Scheinert; Lauritz Thamsen (IEEE BigData, 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 (CLUSTER, 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 (IC2E, 2021)

C3O: Collaborative Cluster Configuration Optimization for Distributed Data Processing in Public Clouds. - Jonathan Will; Lauritz Thamsen; Dominik Scheinert; Jonathan Bader; Odej Kao (IC2E, 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 (IPCCC, 2021)

Perona: Robust Infrastructure Fingerprinting for Resource-Efficient Big Data Analytics. - Dominik Scheinert; Soeren Becker 001; Jonathan Bader; Lauritz Thamsen; Jonathan Will; Odej Kao (IEEE Big Data, 2022)

Ruya: Memory-Aware Iterative Optimization of Cluster Configurations for Big Data Processing. - Jonathan Will; Lauritz Thamsen; Jonathan Bader; Dominik Scheinert; Odej Kao (IEEE Big Data, 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 (IC2E, 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 (IPCCC, 2022)

Lotaru: Locally Estimating Runtimes of Scientific Workflow Tasks in Heterogeneous Clusters. - Jonathan Bader; Fabian Lehmann; Lauritz Thamsen; Jonathan Will; Ulf Leser; Odej Kao (SSDBM, 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)

Towards a Peer-to-Peer Data Distribution Layer for Efficient and Collaborative Resource Optimization of Distributed Dataflow Applications. - Dominik Scheinert; Sören Becker 001; Jonathan Will; Luis Englaender; Lauritz Thamsen (IEEE Big Data, 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 (IPCCC, 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 (SSDBM, 2023)

Challenges and Future Directions in Similarity Assessment of Big Data Analytics Workloads. - Dominik Scheinert; Alexander Guttenberger; Jonathan Will; Odej Kao (IEEE Big Data, 2024)

Experimentally Evaluating the Resource Efficiency of Big Data Autoscaling. - Jonathan Will; Nico Treide; Lauritz Thamsen; Odej Kao (IEEE Big Data, 2024)

Sizey: Memory-Efficient Execution of Scientific Workflow Tasks. - Jonathan Bader; Fabian Skalski; Fabian Lehmann; Dominik Scheinert; Jonathan Will; Lauritz Thamsen; Odej Kao (CLUSTER, 2024)

Privacy-Preserving Sharing of Data Analytics Runtime Metrics for Performance Modeling. - Jonathan Will; Dominik Scheinert; Seraphin Zunzer; Jan Bode; Cedric Kring; Lauritz Thamsen (ICPE (Companion), 2024)

Flora: Efficient Cloud Resource Selection for Big Data Processing via Job Classification. - Jonathan Will; Lauritz Thamsen; Jonathan Bader; Odej Kao (CoRR, 2025)