Modelagem Hierárquica e Heterogênea para Avaliação de Disponibilidade de Aplicações Big Data na Nuvem Privada
Resumo
O crescente desenvolvimento de serviços em nuvem e um aumento exponencial no volume de dados produzidos fez do Hadoop a plataforma padrão para gerenciamento e processamento de dados em ambientes de Big Data. Garantir a alta disponibilidade dos serviços em nuvem é um critério essencial. No entanto, torna-se uma tarefa complicada, dado o número de componentes do sistema. Portanto, propomos uma estratégia de modelagem baseada em redes de Petri estocásticas (SPN) e diagramas de blocos de confiabilidade (RBD) para avaliar a disponibilidade e confiabilidade dos serviços em nuvem, considerando diferentes mecanismos redundantes. Este artigo adota análise de sensibilidade para avaliar o componente que mais afeta a disponibilidade do cluster Hadoop configurado na plataforma de nuvem OpenStack.
Palavras-chave:
Nuvem privada, Disponibilidade, Computação em nuvem, Diagrama de blocos de confiabilidade, Serviço na nuvem
Referências
Bauer, E., Adams, R., and Eustace, D. (2012). Service Availability and Service Reliability, pages 20–33.
Bhathal, G. S. and Dhiman, A. S. (2018). Big data solution: Improvised distributions framework of hadoop. In 2018 Second International Conference on Intelligent Computing and Control Systems (ICICCS), pages 35–38.
Bhosale, V., Thakar, A., Pandit, C., Deshpande, A., and Khanuja, H. (2018). Hadoop in action: Building a generic log analyzing system. In 2018 Fourth International Conference on Computing Communication Control and Automation (ICCUBEA), pages 1–7.
Chang, W. and Grady, N. (2019). Nist big data interoperability framework: Volume 1, definitions.
Florin, G., Fraize, C., and Natkin, S. (1991). Stochastic petri nets: Properties, applications and tools. Microelectronics Reliability, 31(4):669-697.
Guedes, E. A. C. (2019). Availability and capacity modeling for virtual network functions based on redundancy and rejuvenation supported through live migration.
Liberman, J. (2015). Arquiteture overview - deploying openstack sahara on red hat enterprise linux openstack platform 6.
Marynowski, J., Santin, A., and Pimentel, A. (2015). Method for testing the fault tolerance of mapreduce frameworks. Computer Networks.
Mell, P. M. and Grance, T. (2011). Sp 800-145. the nist definition of cloud computing. Technical report, Gaithersburg, MD, USA.
Melo, C., Matos, R., Dantas, J., and Maciel, P. (2017). Capacity-oriented availability model for resources estimation on private cloud infrastructure. In 2017 IEEE 22nd Pacific Rim International Symposium on Dependable Computing (PRDC), pages 255–260.
O’Connor, P. D. T. (1998). An introduction to reliability and maintainability engineering, charles e. ebeling, mcgraw-hill, 1997. Quality and Reliability Engineering International, 14(4):295–295.
Sousa, E. T. G. D. (2015). Modelagem de desempenho, dependabilidade e custo para o planejamento de infraestruturas de nuvens privadas.
Trivedi, K. (2016). Statistical Inference. Probability and Statistics with Reliability, Queuing and Computer Science Applications, chapter 10, pages 661–752. John Wiley Sons, Ltd.
Trivedi, K., Matias, R., Maciel, P., and Kim, D. S. (2012). Dependability modeling. In Performance and Dependability in Service Computing: Concepts, Techniques and Research Directions, pages 53–97.
Bhathal, G. S. and Dhiman, A. S. (2018). Big data solution: Improvised distributions framework of hadoop. In 2018 Second International Conference on Intelligent Computing and Control Systems (ICICCS), pages 35–38.
Bhosale, V., Thakar, A., Pandit, C., Deshpande, A., and Khanuja, H. (2018). Hadoop in action: Building a generic log analyzing system. In 2018 Fourth International Conference on Computing Communication Control and Automation (ICCUBEA), pages 1–7.
Chang, W. and Grady, N. (2019). Nist big data interoperability framework: Volume 1, definitions.
Florin, G., Fraize, C., and Natkin, S. (1991). Stochastic petri nets: Properties, applications and tools. Microelectronics Reliability, 31(4):669-697.
Guedes, E. A. C. (2019). Availability and capacity modeling for virtual network functions based on redundancy and rejuvenation supported through live migration.
Liberman, J. (2015). Arquiteture overview - deploying openstack sahara on red hat enterprise linux openstack platform 6.
Marynowski, J., Santin, A., and Pimentel, A. (2015). Method for testing the fault tolerance of mapreduce frameworks. Computer Networks.
Mell, P. M. and Grance, T. (2011). Sp 800-145. the nist definition of cloud computing. Technical report, Gaithersburg, MD, USA.
Melo, C., Matos, R., Dantas, J., and Maciel, P. (2017). Capacity-oriented availability model for resources estimation on private cloud infrastructure. In 2017 IEEE 22nd Pacific Rim International Symposium on Dependable Computing (PRDC), pages 255–260.
O’Connor, P. D. T. (1998). An introduction to reliability and maintainability engineering, charles e. ebeling, mcgraw-hill, 1997. Quality and Reliability Engineering International, 14(4):295–295.
Sousa, E. T. G. D. (2015). Modelagem de desempenho, dependabilidade e custo para o planejamento de infraestruturas de nuvens privadas.
Trivedi, K. (2016). Statistical Inference. Probability and Statistics with Reliability, Queuing and Computer Science Applications, chapter 10, pages 661–752. John Wiley Sons, Ltd.
Trivedi, K., Matias, R., Maciel, P., and Kim, D. S. (2012). Dependability modeling. In Performance and Dependability in Service Computing: Concepts, Techniques and Research Directions, pages 53–97.
Publicado
18/07/2021
Como Citar
CUNHA, A. C.; CALLOU, G. R. A.; SOUSA, E. T. G.; TAVARES, E. A. G..
Modelagem Hierárquica e Heterogênea para Avaliação de Disponibilidade de Aplicações Big Data na Nuvem Privada. In: WORKSHOP EM DESEMPENHO DE SISTEMAS COMPUTACIONAIS E DE COMUNICAÇÃO (WPERFORMANCE), 20. , 2021, Evento Online.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2021
.
p. 49-60.
ISSN 2595-6167.
DOI: https://doi.org/10.5753/wperformance.2021.15722.
