📄 Ichnos: A Carbon Footprint Estimator for Scientific Workflows
To appear in the Post-Proceedings of the 1st International Workshop on Low Carbon Computing (LOCO), 2025
Abstract
In this paper, we introduce a system to estimate the carbon footprint of Nextflow scientific workflows that enables post-hoc estimation based on existing workflow traces, power models for computational resources utilised, and carbon intensity data aligned with the execution time.
Citation
Kathleen West, Magnus Reid, Yehia Elkhatib, and Lauritz Thamsen. Ichnos: A Carbon Footprint Estimator for Scientific Workflows. Post-Proceedings of the 1st International Workshop on Low Carbon Computing (LOCO) 2025.