24 citations · 29 across the 3 of their papers we have counts for
4 papers
Predicting the Performance of Scientific Workflow Tasks for Cluster Resource Management: An Overview of the State of the Art
Jonathan Bader, Kathleen West, Soeren Becker +5
Scientific workflow management systems support large-scale data analysis on cluster infrastructures. For this, they interact with resource managers which schedule workflow tasks on…
Memory-aware Adaptive Scheduling of Scientific Workflows on Heterogeneous Architectures
Svetlana Kulagina, Anne Benoit, Henning Meyerhenke
The analysis of massive scientific data often happens in the form of workflows with interdependent tasks. When such a scientific workflow needs to be scheduled on a parallel or dis…
Mapping Large Memory-constrained Workflows onto Heterogeneous Platforms
Svetlana Kulagina, Henning Meyerhenke, Anne Benoit
Scientific workflows are often represented as directed acyclic graphs (DAGs), where vertices correspond to tasks and edges represent the dependencies between them. Since these grap…
Tarema: Adaptive Resource Allocation for Scalable Scientific Workflows in Heterogeneous Clusters
Jonathan Bader, Lauritz Thamsen, Svetlana Kulagina +3
Scientific workflow management systems like Nextflow support large-scale data analysis by abstracting away the details of scientific workflows. In these systems, workflows consist…