Estimating CO$_2$ emissions of distributed applications and platforms with SimGrid/Batsim
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arXiv
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| Autores principales: | , , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Acceso en línea: | |
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| _version_ | 1866916908242042880 |
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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 |