Studies on CO2 Emission Minimization Strategies in Data Centers through Simulators

  • Gabriella Saraiva USP
  • Sarita Mazzini Bruschi USP
  • Daniel Cordeiro USP

Abstract


Platforms for parallel and distributed computing, such as data centers, have increased their processing capacity in pursuit of greater computational power. However, this performance gain is accompanied by a significant increase in energy consumption. In this scenario, research on energy efficiency in high-performance environments has emerged as a way to identify the causes and propose solutions for excessive energy consumption. In this work, we are investigating how simulators can contribute to the development of scheduling algorithms focused on reducing non-renewable energy consumption, thus aiming to significantly reduce CO2 emissions.

References

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Poquet, M. (2017). Simulation approach for resource management. PhD thesis, Université Grenoble Alpes.

Vasconcelos, M. F. S., Cordeiro, D., Costa, G. d., Dufossé, F., Nicod, J.-M., et al. (2023). Optimal Sizing of a Globally Distributed Low Carbon Cloud Federation. PhD thesis, IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing.
Published
2024-05-16
SARAIVA, Gabriella; BRUSCHI, Sarita Mazzini; CORDEIRO, Daniel. Studies on CO2 Emission Minimization Strategies in Data Centers through Simulators. In: REGIONAL SCHOOL OF HIGH PERFORMANCE COMPUTING FROM SÃO PAULO (ERAD-SP), 15. , 2024, Rio Claro/SP. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2024 . p. 65-68. DOI: https://doi.org/10.5753/eradsp.2024.239598.

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