Análise de Sensibilidade do Serviço Nextcloud Hospedado em Nuvem Privada
Resumo
Aplicações hospedadas em servidores de nuvem privada demandam alta conectividade e acesso a recursos sob demanda. Para evitar falhas que possam resultar na indisponibilidade dos serviços, é fundamental que as empresas de nuvem privada possuam uma compreensão aprofundada dos componentes que formam o sistema, além de serem capazes de identificar pontos críticos que possam ocasionar falhas. O presente trabalho propõe uma análise de sensibilidade do serviço Nextcloud, que oferece, como serviço, um sistema de arquivos. Foi realizado um estudo de caso com o objetivo de avaliar, por meio de uma abordagem de projeto de experimentos (DoE) e modelos em Redes de Petri Estocásticas (SPN), a disponibilidade e o desempenho do ambiente de nuvem privada. Os resultados demonstram que a análise dos componentes contribui para a identificação dos pontos mais críticos do sistema.Referências
Andrade, E., Nogueira, B., Farias Júnior, I. d., and Araújo, D. (2021). Performance and availability trade-offs in fog–cloud iot environments. Journal of Network and Systems Management, 29:1–27.
Callou, G. and Vieira, M. (2024). Availability and performance analysis of cloud services. In Proceedings of the 13th Latin-American Symposium on Dependable and Secure Computing, LADC ’24, page 262–271, New York, NY, USA. Association for Computing Machinery.
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Dantas, J., Araujo, E., Maciel, P., Matos, R., and Teixeira, J. (2020). Estimating capacity-oriented availability in cloud systems. International Journal of Computational Science and Engineering, 22(4):466–476.
Frank, P. M. and Eslami, M. (1980). Introduction to system sensitivity theory. IEEE Transactions on Systems, Man, and Cybernetics, 10(6):337–338.
Haas, P. J. (2006). Stochastic petri nets: Modelling, stability, simulation. Springer Science & Business Media.
Johnson, B. W. (1988). Design & analysis of fault tolerant digital systems. Addison-Wesley Longman Publishing Co., Inc.
Leonardo, W., Bezerra, T., and Callou, G. (2024). Stochastic petri net models for availability and performance evaluation of nextcloud service hosted in apache cloudstack. In Proceedings of the 13th Latin-American Symposium on Dependable and Secure Computing, pages 165–170.
Maciel, P., Trivedi, K., and Kim, D. (2010). Dependability modeling in: Performance and dependability in service computing: Concepts, techniques and research directions. Hershey: IGI Global, Pennsylvania, USA, 13:1380.
Matos, R., Dantas, J., Araujo, E., and Maciel, P. (2020). Bottleneck detection in cloud computing performance and dependability: Sensitivity rankings for hierarchical models. Journal of Network and Systems Management, 28(4):1839–1871.
Melo, C., Oliveira, F., Dantas, J., Araujo, J., Pereira, P., Maciel, R., and Maciel, P. (2022). Performance and availability evaluation of the blockchain platform hyperledger fabric. The Journal of Supercomputing, 78(10):12505–12527.
Montgomery, D. C. and Runger, G. C. (2010). Applied statistics and probability for engineers. John wiley & sons.
Murata, T. (1989). Petri nets: Properties, analysis and applications. Proceedings of the IEEE, 77(4):541–580.
Rodrigues, L., Gonçalves, I., Fé, I., Endo, P. T., and Silva, F. A. (2021). Performance and availability evaluation of an smart hospital architecture. Computing, 103:2401–2435.
Rolim, T. and Sousa, E. (2024). Performance and availability evaluation of big data environments in the private cloud. Journal of Computer and Communications, 12(12):266–288.
Santos, L., Cunha, B., Fé, I., Vieira, M., and Silva, F. A. (2021). Data processing on edge and cloud: a performability evaluation and sensitivity analysis. Journal of Network and Systems Management, 29(3):27.
Silva, A. and Callou, G. (2025). Models for availability evaluation of file servers in private clouds. Computing, 107(1):1–27.
Valentim, T., Callou, G., França, C., and Tavares, E. (2024). Availability and performance assessment of iomt systems: A stochastic modeling approach. Journal of Network and Systems Management, 32(4):95.
Callou, G. and Vieira, M. (2024). Availability and performance analysis of cloud services. In Proceedings of the 13th Latin-American Symposium on Dependable and Secure Computing, LADC ’24, page 262–271, New York, NY, USA. Association for Computing Machinery.
CETIC.br (2023). Tic domicílios 2023: Pesquisa sobre o uso das tecnologias de informação e comunicação nos domicílios brasileiros. Technical report, CETIC.br. Accessed: 2025-03-31.
Dantas, J., Araujo, E., Maciel, P., Matos, R., and Teixeira, J. (2020). Estimating capacity-oriented availability in cloud systems. International Journal of Computational Science and Engineering, 22(4):466–476.
Frank, P. M. and Eslami, M. (1980). Introduction to system sensitivity theory. IEEE Transactions on Systems, Man, and Cybernetics, 10(6):337–338.
Haas, P. J. (2006). Stochastic petri nets: Modelling, stability, simulation. Springer Science & Business Media.
Johnson, B. W. (1988). Design & analysis of fault tolerant digital systems. Addison-Wesley Longman Publishing Co., Inc.
Leonardo, W., Bezerra, T., and Callou, G. (2024). Stochastic petri net models for availability and performance evaluation of nextcloud service hosted in apache cloudstack. In Proceedings of the 13th Latin-American Symposium on Dependable and Secure Computing, pages 165–170.
Maciel, P., Trivedi, K., and Kim, D. (2010). Dependability modeling in: Performance and dependability in service computing: Concepts, techniques and research directions. Hershey: IGI Global, Pennsylvania, USA, 13:1380.
Matos, R., Dantas, J., Araujo, E., and Maciel, P. (2020). Bottleneck detection in cloud computing performance and dependability: Sensitivity rankings for hierarchical models. Journal of Network and Systems Management, 28(4):1839–1871.
Melo, C., Oliveira, F., Dantas, J., Araujo, J., Pereira, P., Maciel, R., and Maciel, P. (2022). Performance and availability evaluation of the blockchain platform hyperledger fabric. The Journal of Supercomputing, 78(10):12505–12527.
Montgomery, D. C. and Runger, G. C. (2010). Applied statistics and probability for engineers. John wiley & sons.
Murata, T. (1989). Petri nets: Properties, analysis and applications. Proceedings of the IEEE, 77(4):541–580.
Rodrigues, L., Gonçalves, I., Fé, I., Endo, P. T., and Silva, F. A. (2021). Performance and availability evaluation of an smart hospital architecture. Computing, 103:2401–2435.
Rolim, T. and Sousa, E. (2024). Performance and availability evaluation of big data environments in the private cloud. Journal of Computer and Communications, 12(12):266–288.
Santos, L., Cunha, B., Fé, I., Vieira, M., and Silva, F. A. (2021). Data processing on edge and cloud: a performability evaluation and sensitivity analysis. Journal of Network and Systems Management, 29(3):27.
Silva, A. and Callou, G. (2025). Models for availability evaluation of file servers in private clouds. Computing, 107(1):1–27.
Valentim, T., Callou, G., França, C., and Tavares, E. (2024). Availability and performance assessment of iomt systems: A stochastic modeling approach. Journal of Network and Systems Management, 32(4):95.
Publicado
20/07/2025
Como Citar
LEONARDO, Wenderson de Souza; SILVA, Alison; BEZERRA, Thiago; CALLOU, Gustavo.
Análise de Sensibilidade do Serviço Nextcloud Hospedado em Nuvem Privada. In: SEMINÁRIO INTEGRADO DE SOFTWARE E HARDWARE (SEMISH), 52. , 2025, Maceió/AL.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2025
.
p. 513-524.
ISSN 2595-6205.
DOI: https://doi.org/10.5753/semish.2025.9196.
