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ESG4Stars - Sustainable Scientific Workflows for Research Infrastructures

Project description

Greener scientific computing for European research

Amidst ever-growing volumes of data, making digital research infrastructures more energy-efficient has become essential for reducing the environmental impact of science. The EU-funded ESG4Stars project is measuring the energy and resource use of research workflows in order to identify the most resource-intensive processes. It will also develop practical solutions to improve their efficiency. Specifically, the project is optimising software, reducing unnecessary data storage and transfers, improving resource allocation, and promoting sustainable computing practices. This will help researchers lower energy consumption without compromising scientific quality or reproducibility. The project’s tools, training, and best practices will support greener research infrastructures across Europe.

Objective

ESG4Stars, Sustainable Scientific Workflows for Research Infrastructures (RIs), aims to reduce the environmental footprint of the entire scientific computing and data analysis lifecycle on European RIs. From data transfer through compute requirements to data storage, the project will achieve quantifiable reductions for each component of that footprint.

Building on a pan-European federation of Galaxy servers established under the EOSC EuroScienceGateway (ESG) project, ESG4Stars will track energy and resource usage of scientific compute jobs across thousands of compute tools run by tens of thousands of users from multiple scientific disciplines and will publish these metrics in machine-readable FAIR format.

Domain experts within the project will use this data to compile a hotspots catalogue of analysis tools, workflows and used file formats with the biggest potential for sustainability improvements. Corresponding optimisations, implemented by tools and workflow developers in the project, will realise this potential without sacrificing scientific throughput or reproducibility.

The data will also provide the basis for a reusable job-resource-calibrator service for tailoring resource allocations to new compute jobs to avoid wasteful hardware resource overprovisioning.

In parallel, platform optimisations like improved support for efficient, next-generation file formats, a compute-local data cache, shared reference data and ML/AI models, upload deduplication and promotion of non-persistent data storage through the user interface will further reduce data transfer and/or storage needs, while a global job-cache will avoid redundant computation.

Combined with training, awareness building among users, and a green-ready checklist for infrastructure operators, the project will provide sustainable solutions that are transferable across Science Clusters for curbing the energy consumption of European RIs despite ever-growing data volumes to be analysed.

Fields of science (EuroSciVoc)

Keywords

Programme(s)

Topic(s)

Funding Scheme

HORIZON-RIA - HORIZON Research and Innovation Actions

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Call for proposal

(opens in new window) HORIZON-INFRA-2025-01

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Coordinator

ALBERT-LUDWIGS-UNIVERSITAET FREIBURG
Net EU contribution
€ 998 750,00
Address
FAHNENBERGPLATZ
79098 Freiburg
Germany
Region
Baden-Württemberg Freiburg Freiburg im Breisgau, Stadtkreis
Activity type
Higher or Secondary Education Establishments
Links
Total cost
No data

Participants (12)