Hadoop branching: architectural impacts on energy and performance (2016)
- Authors:
- Autor USP: KON, FABIO - IME
- Unidade: IME
- DOI: 10.1109/IGCC.2015.7393709
- Subjects: COMPUTAÇÃO EM NUVEM; SUSTENTABILIDADE; CIÊNCIA DA COMPUTAÇÃO; MIDDLEWARE
- Keywords: energy consumption; green computing
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2016
- Source:
- Título: Proceedings
- Conference titles: International Green Computing Conference and Sustainable Computing Conference - IGSC
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
POLATO, Ivanilton et al. Hadoop branching: architectural impacts on energy and performance. 2016, Anais.. Piscataway: IEEE, 2016. Disponível em: https://doi.org/10.1109/IGCC.2015.7393709. Acesso em: 27 fev. 2026. -
APA
Polato, I., Barbosa, D., Hindle, A., & Kon, F. (2016). Hadoop branching: architectural impacts on energy and performance. In Proceedings. Piscataway: IEEE. doi:10.1109/IGCC.2015.7393709 -
NLM
Polato I, Barbosa D, Hindle A, Kon F. Hadoop branching: architectural impacts on energy and performance [Internet]. Proceedings. 2016 ;[citado 2026 fev. 27 ] Available from: https://doi.org/10.1109/IGCC.2015.7393709 -
Vancouver
Polato I, Barbosa D, Hindle A, Kon F. Hadoop branching: architectural impacts on energy and performance [Internet]. Proceedings. 2016 ;[citado 2026 fev. 27 ] Available from: https://doi.org/10.1109/IGCC.2015.7393709 - Dynamic resource management and automatic configuration of distributed component systems
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Informações sobre o DOI: 10.1109/IGCC.2015.7393709 (Fonte: oaDOI API)
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