A model to forecast data centre infrastructure costs.

21st International Conference on Computing in High Energy and Nuclear Physics

物理学;计算机科学

Vernet, R.^1

IN2P3 Computing Center, CNRS/IN2P3, Lyon-Villeurbanne 21 avenue Pierre de Coubertin, Villeurbanne Cedex

69627, France^1

关键词: Astro-particles;    Computing resource;    Electric power;    Financial costs;    Funding agencies;    Hardware performance;    Infrastructure costs;    Resource usage;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/664/5/052040/pdf
DOI  :  10.1088/1742-6596/664/5/052040

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

The computing needs in the HEP community are increasing steadily, but the current funding situation in many countries is tight. As a consequence experiments, data centres, and funding agencies have to rationalize resource usage and expenditures. CC-IN2P3 (Lyon, France) provides computing resources to many experiments including LHC, and is a major partner for astroparticle projects like LSST, CTA or Euclid. The financial cost to accommodate all these experiments is substantial and has to be planned well in advance for funding and strategic reasons. In that perspective, leveraging infrastructure expenses, electric power cost and hardware performance observed in our site over the last years, we have built a model that integrates these data and provides estimates of the investments that would be required to cater to the experiments for the mid-term future. We present how our model is built and the expenditure forecast it produces, taking into account the experiment roadmaps. We also examine the resource growth predicted by our model over the next years assuming a flat-budget scenario.