Speakers
Description
As UKRI moves towards a NetZero Digital Research Infrastructure [1] an understanding of how carbon costs of computing infrastructures can be allocated to individual scientific payloads will be required. The IRIS community [2] forms a multi-site heterogenous infrastructure so is a good testing ground to develop carbon allocation models with wide applicability.
The IRISCAST Project [3,4] developed methods to measure carbon costs for a facility. Building on that work the IRIS Carbon Mapping Project [5] has developed models to allocate carbon costs to individual payloads. These models were developed with a learning by doing approach and have been applied to both batch and cloud resources. We present our key findings, lessons learned, and recommendations.
[1] http://doi.org/10.5281/zenodo.8199984
[2] https://iris.ac.uk
[3] http://doi.org/10.5281/zenodo.7692451
[4] http://doi.org/10.1051/epjconf/202429507029
[5] http://doi.org/10.5281/zenodo.10966001
