We prepared a new article on Ichnos+, a novel system for estimating the environmental footprint of Nextflow scientific workflows using fitted power models. In the article, we evaluate Ichnos+ in comparison to hardware-level energy measurements, obtained using Intel RAPL, and the nf-core co2footprint plugin, which implements the Green Algorithms methodology.

The paper is currently under review, but a preprint of the article, titled “Ichnos+: Estimating the Carbon Footprint of Scientific Workflows Using Fitted Power Models”, is available on arXiv. In addition, the results repository is available on GitHub.

This work significantly extends the preliminary results of our workshop paper “Ichnos: A Carbon Footprint Estimator for Scientific Workflows”, which appeared in the arXiv proceedings of the 1st International Workshop on Low Carbon Computing (LOCO 2024).