| Full text | |
| Author(s): Show less - |
Vasconcelos, Miguel
;
Cordeiro, Daniel
;
Da Costa, Georges
;
Dufosse, Fanny
;
Nicod, Jean-Marc
;
Rehn-Sonigo, Veronika
;
Altintas, I
;
Simmhan, Y
;
Varbanescu, AL
;
Balaji, P
;
Prasad, AS
;
Carnevale, L
Total Authors: 12
|
| Document type: | Journal article |
| Source: | 2023 IEEE/ACM 23RD INTERNATIONAL SYMPOSIUM ON CLUSTER, CLOUD AND INTERNET COMPUTING, CCGRID; v. N/A, p. 13-pg., 2023-01-01. |
| 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. (AU) | |
| FAPESP's process: | 21/06867-2 - Applications of scheduling theory to optimize green energy usage in cloud computing platforms |
| Grantee: | Daniel de Angelis Cordeiro |
| Support Opportunities: | Regular Research Grants |