Estimating CO$_2$ emissions of distributed applications and platforms with SimGrid/Batsim

Fuente: arXiv
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Autores principales: Saraiva, Gabriella, Vasconcelos, Miguel, Bruschi, Sarita Mazzini, Carastan-Santos, Danilo, Cordeiro, Daniel
Formato: Preprint
Publicado: 2025
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author Saraiva, Gabriella
Vasconcelos, Miguel
Bruschi, Sarita Mazzini
Carastan-Santos, Danilo
Cordeiro, Daniel
author_facet Saraiva, Gabriella
Vasconcelos, Miguel
Bruschi, Sarita Mazzini
Carastan-Santos, Danilo
Cordeiro, Daniel
contents This work presents a carbon footprint plugin designed to extend the capabilities of the Batsim simulator by allowing the calculation of CO$_2$ emissions during simulation runs. The goal is to comprehensively assess the environmental impact associated with task and resource management strategies in data centers. The plugin is developed within SimGrid -- the underlying simulation framework of Batsim -- and computes carbon emissions based on the simulated platform's energy consumption and carbon intensity factor of the simulated machines. Once implemented, it is integrated into Batsim, ensuring compatibility with existing simulation workflows and enabling researchers to assess the carbon efficiency of their scheduling strategies.
format Preprint
id arxiv_https___arxiv_org_abs_2508_13693
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Estimating CO$_2$ emissions of distributed applications and platforms with SimGrid/Batsim
Saraiva, Gabriella
Vasconcelos, Miguel
Bruschi, Sarita Mazzini
Carastan-Santos, Danilo
Cordeiro, Daniel
Distributed, Parallel, and Cluster Computing
This work presents a carbon footprint plugin designed to extend the capabilities of the Batsim simulator by allowing the calculation of CO$_2$ emissions during simulation runs. The goal is to comprehensively assess the environmental impact associated with task and resource management strategies in data centers. The plugin is developed within SimGrid -- the underlying simulation framework of Batsim -- and computes carbon emissions based on the simulated platform's energy consumption and carbon intensity factor of the simulated machines. Once implemented, it is integrated into Batsim, ensuring compatibility with existing simulation workflows and enabling researchers to assess the carbon efficiency of their scheduling strategies.
title Estimating CO$_2$ emissions of distributed applications and platforms with SimGrid/Batsim
topic Distributed, Parallel, and Cluster Computing
url https://arxiv.org/abs/2508.13693