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A fast access big data approach for configurable and scalable object storage enabling mixed fault-tolerance

Carlos Roberto Valencio Andre Francisco Moielo Caetano; Angelo Cesar Colombini; Mario Luiz Tronco; Márcio Zamboti Fortes

Journal of Computer Science New York, NY, USA : Science Publications, 2017 v. 13, n. 6, p. 192-198, 2017

Available at EESC - Esc. Engenharia de São Carlos (PROD-026024 )(GetIt)

Title:
A fast access big data approach for configurable and scalable object storage enabling mixed fault-tolerance
Author: Carlos Roberto Valencio
Andre Francisco Moielo Caetano; Angelo Cesar Colombini; Mario Luiz Tronco; Márcio Zamboti Fortes
Subjects: FALHAS COMPUTACIONAIS -- TOLERÂNCIA; BIG DATA; ENGENHARIA MECÂNICA
Is Part Of: Journal of Computer Science New York, NY, USA : Science Publications, 2017 v. 13, n. 6, p. 192-198, 2017
Notes: Disponível em: http://dx.doi.org/10.3844/jcssp.2017.192.198 Acesso em: 23 jun. 2023.
Publisher: New York, NY, USA Science Publications
Creation Date: 2017
Format: p. 192-198.
Language: English

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