Virtual machine migration as a strategy for sustainable data centers
Abstract
The growing use of geo-distributed data centers enhances cloud computing capacity but also raises energy consumption and greenhouse gas emissions. In this work, we investigate, through simulation, scheduling algorithms applied to these data centers to reduce environmental impact. Our proposed approach explores virtual machine (VM) migration policies to identify strategies that combine performance and sustainability. We expect the experiments to support the implementation of scheduling solutions capable of minimizing greenhouse gas emissions and fostering more sustainable operations in large-scale infrastructures.References
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Silva Filho, M. C., Oliveira, R. L., Monteiro, C. C., Inácio, P. R. M., and Freire, M. M. (2017). Cloudsim plus: A cloud computing simulation framework pursuing software engineering principles for improved modularity, extensibility and correctness. In 2017 IFIP/IEEE Symp. on Integrated Network and Service Management, pages 400–406.
Vasconcelos, M., Cordeiro, D., Da Costa, G., Dufossé, F., Nicod, J.-M., and Rehn-Sonigo, V. (2023). Optimal sizing of a globally distributed low carbon cloud federation. In 2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing (CCGrid), pages 203–215. IEEE.
Clark, C., Fraser, K., Hand, S., Hansen, J. G., Jul, E., Limpach, C., Pratt, I., and Warfield, A. (2005). Live migration of virtual machines. In Proceedings of the 2nd Conference on Symposium on Networked Systems Design & Implementation - Volume 2, NSDI’05, pages 273—-286, USA. USENIX Association.
Kumar, M., Sharma, S., Goel, A., and Singh, S. (2019). A comprehensive survey for scheduling techniques in cloud computing. J. of Network and Computer App., 143.
Masanet, E., Shehabi, A., Lei, N., Smith, S., and Koomey, J. (2020). Recalibrating global data center energy-use estimates. Science, 367(6481):984–986.
Paul, P. K. and Ghose, M. K. (2018). Why green computing and green information sciences have potentialities in academics and ischools: Practice and educational perspectives. In SenGupta, S., Zobaa, A. F., Sherpa, K. S., and Bhoi, A. K., editors, Advances in Smart Grid and Renewable Energy, pages 103–112, Singapore. Springer Singapore.
Popek, G. J. and Goldberg, R. P. (1974). Formal requirements for virtualizable third generation architectures. Commun. ACM, 17(7):412–421.
Shehabi, A., Smith, S. J., Hubbard, A., Newkirk, A., Lei, N., Siddik, M. A. B., Holecek, B., Koomey, J., Masanet, E., and Sartor, D. (2024). 2024 united states data center energy usage report. Technical Report LBNL-2001637, Lawrence Berkeley National Laboratory, Berkeley, California.
Silva Filho, M. C., Oliveira, R. L., Monteiro, C. C., Inácio, P. R. M., and Freire, M. M. (2017). Cloudsim plus: A cloud computing simulation framework pursuing software engineering principles for improved modularity, extensibility and correctness. In 2017 IFIP/IEEE Symp. on Integrated Network and Service Management, pages 400–406.
Vasconcelos, M., Cordeiro, D., Da Costa, G., Dufossé, F., Nicod, J.-M., and Rehn-Sonigo, V. (2023). Optimal sizing of a globally distributed low carbon cloud federation. In 2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing (CCGrid), pages 203–215. IEEE.
Published
2025-05-28
How to Cite
SILVA, Guilherme Fernandes Moraes da; CORDEIRO, Daniel.
Virtual machine migration as a strategy for sustainable data centers. In: REGIONAL SCHOOL OF HIGH PERFORMANCE COMPUTING FROM SÃO PAULO (ERAD-SP), 16. , 2025, São José do Rio Preto/SP.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2025
.
p. 70-73.
DOI: https://doi.org/10.5753/eradsp.2025.9715.
