| Issue |
EPJ Web Conf.
Volume 337, 2025
27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)
|
|
|---|---|---|
| Article Number | 01202 | |
| Number of page(s) | 8 | |
| DOI | https://doi.org/10.1051/epjconf/202533701202 | |
| Published online | 07 October 2025 | |
https://doi.org/10.1051/epjconf/202533701202
Allocating Carbon Costs to Computing Payloads across Heterogeneous Infrastructures
School of Physical and Chemical Sciences, Queen Mary University of London, 327 Mile End Road, LONDON, E1 4NS, United Kingdom
* e-mail: r.a.owen@qmul.ac.uk
** e-mail: j.hays@qmul.ac.uk
Published online: 7 October 2025
As UKRI moves towards a NetZero Digital Research Infrastructure [1, 2] an understanding of how carbon costs of computing infrastructures can be allocated to individual scientific payloads will be required. The IRIS community forms a multi-site heterogeneous infrastructure so is a good testing ground to develop carbon allocation models with wide applicability. Carbon footprints of data centres were measured in the IRISCAST Project [3, 4]. Here we describe and test the models of the IRIS Carbon Mapping Project [5] which allocates carbon costs of compute and storage to individual users and payloads. It is shown that the simple storage and payload models can be implemented and that with improved monitoring enhanced models are also practical.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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