News & Updates

Our full conference paper, “Augur: Pre-Execution Energy Prediction for Workflow Tasks in Heterogeneous Clusters” was accepted for publication in the proceedings of the “2026 IEEE International Conference on Cloud Computing (CLOUD), and will be presented in Sydney in July 2026.

In the paper, we proposed Augur, a novel method to predict the energy consumption of scientific workflow tasks prior to execution. By efficiently profiling both the available cluster infrastructure and the workflow at hand, Augur is capable of predicting the overall energy consumption with a median prediction error of 16.3% compared to Ichnos, an energy estimation method that uses fitted power models, and 18.2% compared to Intel RAPL measurements, as observed in our experimental evaluation on public and private cloud infrastructure. Augur outperforms two state-of-the-art methods in predicting both task runtime and total workflow energy, providing a robust foundation for energy-efficient and carbon-aware scientific data analysis.

The pre-print of the paper is available on arXiv, with the results repository also available on GitHub.

We are happy to share that our journal article “A Systematic Evaluation of the Potential of Carbon-Aware Execution for Scientific Workflows” has been published in the journal Future Generation Computer Systems.

Kathleen and Lauritz will be speaking at the FONDA workshop on Reducing the Carbon Emissions of Large-Scale Computational Data Analysis, which will take place on 25 and 26 November at Humboldt University of Berlin.

We prepared a new article that systematically assesses the potential of carbon-aware temporal shifting, pausing and resuming, and resource scaling. For this, we studied various real Nextflow workflows, compute clusters, and energy grid data.

We are happy to share that our short paper on “Exploring the Potential of Carbon-Aware Execution for Scientific Workflows” was accepted for publication in the proceedings of the “25th IEEE International Symposium on Cluster, Cloud and Internet Computing”, and was presented in person, in Tromsø in May 2025.

We are happy to share that our full workshop paper on “Ichnos: A Carbon Footprint Estimator for Scientific Workflows” has been accepted for publication in the post-proceedings of the 1st International Workshop on Low Carbon Computing (LOCO 2024), which was held as a hybrid event in Glasgow on December 3rd last year.

We are excited to announce the official start of the EPSRC-funded Casper project, aiming to advance carbon-aware computing to tackle the challenge of aligning flexible cloud computing workloads with low-carbon energy availability.