Optimal sizing of a globally distributed low carbon cloud federation - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2023

Optimal sizing of a globally distributed low carbon cloud federation

Abstract

The carbon footprint of IT technologies has been a significant concern in recent years. This concern mainly focuses on the electricity consumption of data centers; many cloud suppliers commit to using 100% of renewable energy sources. However, this approach neglects the impact of device manufacturing. We consider in this paper the question of dimensioning the renewable energy sources of a geographically distributed cloud with considering the carbon impact of both the grid electricity consumption in the considered locations and the manufacturing of solar panels and batteries. We design a linear program to optimize cloud dimensioning over one year, considering worldwide locations for data centers, real-life workload traces, and solar irradiation values. Our results show a carbon footprint reduction of about 30% compared to a cloud fully supplied by solar energy and of 85% compared to the 100% grid electricity model.
Fichier principal
Vignette du fichier
lowcarbon_cameraready.pdf (832.23 Ko) Télécharger le fichier
Origin Files produced by the author(s)

Dates and versions

hal-04032094 , version 1 (16-03-2023)
hal-04032094 , version 2 (15-09-2023)

Licence

Identifiers

Cite

Miguel Felipe Silva Vasconcelos, Daniel Cordeiro, Georges da Costa, Fanny Dufossé, Jean-Marc Nicod, et al.. Optimal sizing of a globally distributed low carbon cloud federation. CCGrid 2023 - IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing, May 2023, Bangalore, India. pp.1-13, ⟨10.1109/CCGrid57682.2023.00028⟩. ⟨hal-04032094v2⟩
279 View
179 Download

Altmetric

Share

Gmail Mastodon Facebook X LinkedIn More