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cs.DC2026

Carbon-Aware Mapping and Scheduling for Deadline-Constrained Workflows

Dominik Schweisgut, Anne Benoit, Yves Robert +1

As datacenters continue to grow in scale, their energy consumption and resulting carbon footprint have become pressing concerns. With the increasing share of renewable energy in a…

cs.DC2025

Carbon-Aware Workflow Scheduling with Fixed Mapping and Deadline Constraint

Dominik Schweisgut, Anne Benoit, Yves Robert +1

Large data and computing centers consume a significant share of the world's energy consumption. A prominent subset of the workloads in such centers are workflows with interdependen…

cs.DC2025

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…

cs.DC2025

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…

cs.DC2024

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…