A multi-objective optimized service level agreement approach applied on a cloud computing ecosystem (2020)
- Authors:
- USP affiliated authors: ESTRELLA, JÚLIO CEZAR - ICMC ; TOLEDO, CLÁUDIO FABIANO MOTTA - ICMC ; AZEVEDO, LEONILDO JOSÉ DE MELO DE - ICMC
- Unidade: ICMC
- DOI: 10.1109/ACCESS.2020.3006171
- Subjects: OTIMIZAÇÃO COMBINATÓRIA; COMPUTAÇÃO EM NUVEM; HEURÍSTICA
- Keywords: Cloud computing ecosystem; metaheuristics; multi-objective optimized; SLA; QoS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Piscataway
- Date published: 2020
- Source:
- Título: IEEE Access
- ISSN: 2169-3536
- Volume/Número/Paginação/Ano: v. 8, p. 122469-122479, 2020
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by
-
ABNT
AZEVEDO, Leonildo José de Melo de et al. A multi-objective optimized service level agreement approach applied on a cloud computing ecosystem. IEEE Access, v. 8, p. 122469-122479, 2020Tradução . . Disponível em: https://doi.org/10.1109/ACCESS.2020.3006171. Acesso em: 12 nov. 2024. -
APA
Azevedo, L. J. de M. de, Estrella, J. C., Toledo, C. F. M., & Reiff-Marganiec, S. (2020). A multi-objective optimized service level agreement approach applied on a cloud computing ecosystem. IEEE Access, 8, 122469-122479. doi:10.1109/ACCESS.2020.3006171 -
NLM
Azevedo LJ de M de, Estrella JC, Toledo CFM, Reiff-Marganiec S. A multi-objective optimized service level agreement approach applied on a cloud computing ecosystem [Internet]. IEEE Access. 2020 ; 8 122469-122479.[citado 2024 nov. 12 ] Available from: https://doi.org/10.1109/ACCESS.2020.3006171 -
Vancouver
Azevedo LJ de M de, Estrella JC, Toledo CFM, Reiff-Marganiec S. A multi-objective optimized service level agreement approach applied on a cloud computing ecosystem [Internet]. IEEE Access. 2020 ; 8 122469-122479.[citado 2024 nov. 12 ] Available from: https://doi.org/10.1109/ACCESS.2020.3006171 - Multi-objective optimization for workflow scheduling under task selection policies in clouds
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Informações sobre o DOI: 10.1109/ACCESS.2020.3006171 (Fonte: oaDOI API)
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