Hadoop energy consumption reduction with hybrid HDFS (2016)
- Authors:
- Autor USP: KON, FABIO - IME
- Unidade: IME
- DOI: 10.1145/2851613.2851623
- Subjects: COMPUTAÇÃO EM NUVEM; MIDDLEWARE; CONSUMO DE ENERGIA ELÉTRICA; HARDWARE
- Language: Inglês
- Imprenta:
- Source:
- Título: Proceedings
- Conference titles: Annual ACM Symposium on Applied Computing - SAC
- Status:
- Nenhuma versão em acesso aberto identificada
-
ABNT
POLATO, Ivanilton et al. Hadoop energy consumption reduction with hybrid HDFS. 2016, Anais.. New York: ACM, 2016. Disponível em: https://doi.org/10.1145/2851613.2851623. Acesso em: 13 abr. 2026. -
APA
Polato, I., Barbosa, D., Hindle, A., & Kon, F. (2016). Hadoop energy consumption reduction with hybrid HDFS. In Proceedings. New York: ACM. doi:10.1145/2851613.2851623 -
NLM
Polato I, Barbosa D, Hindle A, Kon F. Hadoop energy consumption reduction with hybrid HDFS [Internet]. Proceedings. 2016 ;[citado 2026 abr. 13 ] Available from: https://doi.org/10.1145/2851613.2851623 -
Vancouver
Polato I, Barbosa D, Hindle A, Kon F. Hadoop energy consumption reduction with hybrid HDFS [Internet]. Proceedings. 2016 ;[citado 2026 abr. 13 ] Available from: https://doi.org/10.1145/2851613.2851623 - Dynamic resource management and automatic configuration of distributed component systems
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