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)

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

Towards Advanced Monitoring for Scientific Workflows. - Jonathan Bader; Joel Witzke; Soeren Becker 001; Ansgar Lößer; Fabian Lehmann; Leon Doehler; Anh Duc Vu 001; Odej Kao (IEEE Big Data, 2022)

Leveraging Reinforcement Learning for Task Resource Allocation in Scientific Workflows. - Jonathan Bader; Nicolas Zunker; Soeren Becker 001; Odej Kao (IEEE Big Data, 2022)

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)

SyncMesh: improving data locality for function-as-a-service in meshed edge networks. - Daniel Habenicht; Kevin Kreutz; Soeren Becker 001; Jonathan Bader; Lauritz Thamsen; Odej Kao (EdgeSys@EuroSys, 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)

Macaw: The Machine Learning Magnetometer Calibration Workflow. - Jonathan Bader; Kevin Styp-Rekowski; Leon Doehler; Soeren Becker 001; Odej Kao (ICDM (Workshops), 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)

AuctionWhisk: Using an auction-inspired approach for function placement in serverless fog platforms. - David Bermbach; Jonathan Bader; Jonathan Hasenburg; Tobias Pfandzelter; Lauritz Thamsen (Softw. Pract. Exp., 2022)

Predicting Dynamic Memory Requirements for Scientific Workflow Tasks. - Jonathan Bader; Nils Diedrich; Lauritz Thamsen; Odej Kao (IEEE Big Data, 2023)

How Workflow Engines Should Talk to Resource Managers: A Proposal for a Common Workflow Scheduling Interface. - Fabian Lehmann; Jonathan Bader; Friedrich Tschirpke; Lauritz Thamsen; Ulf Leser (CCGrid, 2023)

Novel Approaches Toward Scalable Composable Workflows in Hyper-Heterogeneous Computing Environments. - 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; et al. (SC Workshops, 2023)

Workflows Community Summit 2022: A Roadmap Revolution. - 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; et al. (CoRR, 2023)

The Common Workflow Scheduler Interface: Status Quo and Future Plans. - Fabian Lehmann; Jonathan Bader; Lauritz Thamsen; Ulf Leser (CoRR, 2023)

Nextflow with the Common Workflow Scheduler Interface for Kubernetes. - Fabian Lehmann; Jonathan Bader; Friedrich Tschirpke; Lauritz Thamsen; Ulf Leser (Zenodo, 2023)

Common Workflow Scheduler for Kubernetes. - Fabian Lehmann; Jonathan Bader; Friedrich Tschirpke; Lauritz Thamsen; Ulf Leser (Zenodo, 2023)

Common Workflow Scheduler Evaluation with Nextflow and Kubernetes. - Fabian Lehmann; Jonathan Bader; Friedrich Tschirpke; Lauritz Thamsen; Ulf Leser (Zenodo, 2023)

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

KS+: Predicting Workflow Task Memory Usage Over Time. - Jonathan Bader; Ansgar Lößer; Lauritz Thamsen; Björn Scheuermann 001; Odej Kao (e-Science, 2024)

Ponder: Online Prediction of Task Memory Requirements for Scientific Workflows. - Fabian Lehmann; Jonathan Bader; Ninon De Mecquenem; Xing Wang; Vasilis Bountris; Florian Friederici; Ulf Leser; Lauritz Thamsen (e-Science, 2024)

Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows. - Rafael Ferreira da Silva; Deborah Bard; Kyle Chard; Shaun De Witt; Ian T. Foster; Tom Gibbs; Carole A. Goble; William F. Godoy; Johan Gustafsson 001; Utz-Uwe Haus; Stephen Hudson; Shantenu Jha; et al. (CoRR, 2024)

Lotaru: Locally predicting workflow task runtimes for resource management on heterogeneous infrastructures. - Jonathan Bader; Fabian Lehmann; Lauritz Thamsen; Ulf Leser; Odej Kao (Future Gener. Comput. Syst., 2024)

Task resource prediction for efficient execution of scientific workflows. - Jonathan Bader (2025)

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

WOW: Workflow-Aware Data Movement and Task Scheduling for Dynamic Scientific Workflows. - Fabian Lehmann; Jonathan Bader; Friedrich Tschirpke; Ninon De Mecquenem; Ansgar Lößer; Sören Becker 001; Katarzyna Ewa Lewinska; Lauritz Thamsen; Ulf Leser (CoRR, 2025)

Predicting the Performance of Scientific Workflow Tasks for Cluster Resource Management: An Overview of the State of the Art. - Jonathan Bader; Kathleen West; Sören Becker 001; Svetlana Kulagina; Fabian Lehmann; Lauritz Thamsen; Henning Meyerhenke; Odej Kao (CoRR, 2025)

Optimizing Microgrid Composition for Sustainable Data Centers. - Julius Irion; Philipp Wiesner; Jonathan Bader; Odej Kao (CoRR, 2025)