Valencio, Carlos Roberto 
; Caetano, Andre Francisco Moielo; Colombini, Angelo Cesar; Tronco, Mario Luiz; Fortes, Márcio Zamboti
Source: Journal of Computer Science. Unidade: EESC
Subjects: FALHAS COMPUTACIONAIS, BIG DATA, ENGENHARIA MECÂNICA
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ABNT
VALENCIO, Carlos Roberto et al. A fast access big data approach for configurable and scalable object storage enabling mixed fault-tolerance. Journal of Computer Science, v. 13, n. 6, p. 192-198, 2017Tradução . . Disponível em: https://doi.org/10.3844/jcssp.2017.192.198. Acesso em: 30 abr. 2024.APA
Valencio, C. R., Caetano, A. F. M., Colombini, A. C., Tronco, M. L., & Fortes, M. Z. (2017). A fast access big data approach for configurable and scalable object storage enabling mixed fault-tolerance. Journal of Computer Science, 13( 6), 192-198. doi:10.3844/jcssp.2017.192.198NLM
Valencio CR, Caetano AFM, Colombini AC, Tronco ML, Fortes MZ. A fast access big data approach for configurable and scalable object storage enabling mixed fault-tolerance [Internet]. Journal of Computer Science. 2017 ; 13( 6): 192-198.[citado 2024 abr. 30 ] Available from: https://doi.org/10.3844/jcssp.2017.192.198Vancouver
Valencio CR, Caetano AFM, Colombini AC, Tronco ML, Fortes MZ. A fast access big data approach for configurable and scalable object storage enabling mixed fault-tolerance [Internet]. Journal of Computer Science. 2017 ; 13( 6): 192-198.[citado 2024 abr. 30 ] Available from: https://doi.org/10.3844/jcssp.2017.192.198
