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20222025
most citedLotaru: Locally Estimating Runtimes of Scientific Workflow Tasks in Heterogeneous Clusters

20 citations · 48 across the 9 of their papers we have counts for

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15 papers · 1 filter

cs.DC2025

A Systematic Evaluation of the Potential of Carbon-Aware Execution for Scientific Workflows

Kathleen West, Youssef Moawad, Fabian Lehmann +4

Scientific workflows are critical to scientific data analysis and often involve computationally intensive processing of large datasets on compute clusters. As such, their execution…

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.DC20255 cited

WOW: Workflow-Aware Data Movement and Task Scheduling for Dynamic Scientific Workflows

Fabian Lehmann, Jonathan Bader, Friedrich Tschirpke +6

Scientific workflows process extensive data sets over clusters of independent nodes, which requires a complex stack of infrastructure components, especially a resource manager (RM)…

cs.DC2025

Exploring the Potential of Carbon-Aware Execution for Scientific Workflows

Kathleen West, Fabian Lehmann, Vasilis Bountris +3

Scientific workflows are widely used to automate scientific data analysis and often involve processing large quantities of data on compute clusters. As such, their execution tends…

cs.DC20241 cited

Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows

Rafael Ferreira da Silva, Deborah Bard, Kyle Chard +108

The Workflows Community Summit gathered 111 participants from 18 countries to discuss emerging trends and challenges in scientific workflows, focusing on six key areas: time-sensit…

cs.DC20241 cited

Ponder: Online Prediction of Task Memory Requirements for Scientific Workflows

Fabian Lehmann, Jonathan Bader, Ninon De Mecquenem +5

Scientific workflows are used to analyze large amounts of data. These workflows comprise numerous tasks, many of which are executed repeatedly, running the same custom program on d…