Tomada de Decisão Multicritério em Nuvens Privadas para Aplicações, Considerando o Requisito de Desempenho
Resumo
Este artigo apresenta uma metodologia estruturada para a tomada de decisão em nuvens privadas, integrando Planejamento de Experimentos (DOE) e o Processo de Análise Hierárquica (AHP). A abordagem substitui escolhas subjetivas por uma análise quantitativa focada no desempenho das plataformas. Validada por um estudo de caso entre OpenStack e CloudStack, a pesquisa revelou que o CloudStack manteve latência estável com valores médios de 11,9 ms, enquanto o OpenStack apresentou degradação de até 29.359% no tempo de resposta em configurações de recursos limitados. Os resultados, sintetizados pelo AHP, conferiram um escore global de 82,6% ao CloudStack, confirmando a eficiência da plataforma para os requisitos de desempenho avaliados.
Referências
Ali, S. (2021). A systematic review of performance evaluation of cloud computing systems using design of experiments. Journal of Systems and Software, 173.
Chaudhry, J. (2015). Performance evaluation of OpenStack Neutron with Open vSwitch. In 2015 IEEE 4TH INTERNATIONAL CONFERENCE ON CLOUD NETWORKING (CLOUDNET), volume 258, p. – 253, Niagara Falls, ON, Canada. IEEE.
Gupta, M. e Sehrawat, R. (2020). Investigating the determinants influencing the adoption decision of cloud computing in the healthcare sector: An integrated ISM-AHP-TOPSIS approach. Technology in Society, 61.
Huamaní, G. T. (2014). Modelo AHP para seleccionar proveedores de Cloud Computing. p. 100 – 106.
Kurup, S. e Guruprasad, H. S. (2022). Hybrid multi criteria decision methods for optimal cloud selection in mobile cloud computing. Indonesian Journal of Electrical Engineering and Computer Science, p. 404 – 412.
Li, Z., O’Brien, L., Zhang, H., e Ranjan, R. (2013). Applying Design of Experiments (DOE) to performance evaluation of commercial cloud services. International Journal of Grid and High Performance Computing, v. 5:p. 75 – 93.
Mell, P. e Gupta, M. (2011). The NIST Definition of Cloud Computing. National Institute of Standards and Technology (NIST). Special Publication.
Mishra, S., Chhabra, A., e Madan, D. (2020). Multi-criteria decision making for resource distribution in fog-cloud computing environment. Journal of Discrete Mathematical Sciences and Cryptography, v. 23(n. 2):p. 385 – 393.
Mostafa, A. M. (2024). A Group Multi-Criteria Decision-Making Approach Based on the Best-Only Method for Cloud Service Selection. IEE.
O. Gómez, G. Pérez, e Rojas, E. (2022). Performance evaluation of microservices architectures through load testing. Journal of Systems and Software, 188.
Patel, P. B. e Patel, A. M. (2016). A survey on OpenStack and its components. In INTERNATIONAL CONFERENCE ON COMMUNICATION AND SIGNAL PROCESSING (ICCSP), p. 1386 – 1390, Melmaruvathur, India. IEEE.
Petrov, I. (2021). Combined criteria weighting in MCDM: AHP in blocks with traditional Entropy and novel Hierarchy in TOPSIS evaluation of Cloud Services.
Saaty, T. L. (1990). How to make a decision: The Analytic Hierarchy Process. European Journal of Operational Research, 48:p. 9 – 26.
Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, v. 1:p. 83 – 98.
Sharma, M. e Sehrawat, R. (2020). Investigating the determinants influencing the adoption decision of cloud computing in the healthcare sector: An integrated ISM-AHP-TOPSIS approach. Technology in Society, v. 61.
Singh, P. e Kaur, A. (2021). A comparative analysis of OpenStack and CloudStack cloud management platforms. In 5th Iternational conference on computing methodologies and communication (ICCMC), p. 1297 – 1303, Erode, India. IEEE.
Chaudhry, J. (2015). Performance evaluation of OpenStack Neutron with Open vSwitch. In 2015 IEEE 4TH INTERNATIONAL CONFERENCE ON CLOUD NETWORKING (CLOUDNET), volume 258, p. – 253, Niagara Falls, ON, Canada. IEEE.
Gupta, M. e Sehrawat, R. (2020). Investigating the determinants influencing the adoption decision of cloud computing in the healthcare sector: An integrated ISM-AHP-TOPSIS approach. Technology in Society, 61.
Huamaní, G. T. (2014). Modelo AHP para seleccionar proveedores de Cloud Computing. p. 100 – 106.
Kurup, S. e Guruprasad, H. S. (2022). Hybrid multi criteria decision methods for optimal cloud selection in mobile cloud computing. Indonesian Journal of Electrical Engineering and Computer Science, p. 404 – 412.
Li, Z., O’Brien, L., Zhang, H., e Ranjan, R. (2013). Applying Design of Experiments (DOE) to performance evaluation of commercial cloud services. International Journal of Grid and High Performance Computing, v. 5:p. 75 – 93.
Mell, P. e Gupta, M. (2011). The NIST Definition of Cloud Computing. National Institute of Standards and Technology (NIST). Special Publication.
Mishra, S., Chhabra, A., e Madan, D. (2020). Multi-criteria decision making for resource distribution in fog-cloud computing environment. Journal of Discrete Mathematical Sciences and Cryptography, v. 23(n. 2):p. 385 – 393.
Mostafa, A. M. (2024). A Group Multi-Criteria Decision-Making Approach Based on the Best-Only Method for Cloud Service Selection. IEE.
O. Gómez, G. Pérez, e Rojas, E. (2022). Performance evaluation of microservices architectures through load testing. Journal of Systems and Software, 188.
Patel, P. B. e Patel, A. M. (2016). A survey on OpenStack and its components. In INTERNATIONAL CONFERENCE ON COMMUNICATION AND SIGNAL PROCESSING (ICCSP), p. 1386 – 1390, Melmaruvathur, India. IEEE.
Petrov, I. (2021). Combined criteria weighting in MCDM: AHP in blocks with traditional Entropy and novel Hierarchy in TOPSIS evaluation of Cloud Services.
Saaty, T. L. (1990). How to make a decision: The Analytic Hierarchy Process. European Journal of Operational Research, 48:p. 9 – 26.
Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, v. 1:p. 83 – 98.
Sharma, M. e Sehrawat, R. (2020). Investigating the determinants influencing the adoption decision of cloud computing in the healthcare sector: An integrated ISM-AHP-TOPSIS approach. Technology in Society, v. 61.
Singh, P. e Kaur, A. (2021). A comparative analysis of OpenStack and CloudStack cloud management platforms. In 5th Iternational conference on computing methodologies and communication (ICCMC), p. 1297 – 1303, Erode, India. IEEE.
Publicado
08/07/2026
Como Citar
LIMA, Paulo Roberto de; SOUSA, Erica Teixeira Gomes de; MEDEIROS, Robson Wagner Albuquerque de.
Tomada de Decisão Multicritério em Nuvens Privadas para Aplicações, Considerando o Requisito de Desempenho. In: ESCOLA REGIONAL DE ALTO DESEMPENHO DA REGIÃO NORDESTE (ERAD-NE), 7. , 2026, Recife/PE.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2026
.
p. 57-62.
DOI: https://doi.org/10.5753/erad-ne.2026.26630.
