Monitoring HPC applications on the cloud with Zabbix
Resumo
O sobre-provisionamento de recursos da nuvem por parte do usuário é levado a subutilização e causa desperdício de recursos. Uma solução é monitorar o uso destes recursos. Neste trabalho, é proposto uma arquitetura viável para monitorar aplicações de alto desempenho no ambiente de nuvem utilizando a ferramenta Zabbix. Com isso, será possível minimizar o custo e desenvolver uma metodologia para monitorar diferentes tipos de aplicações de alto desempenho.
Palavras-chave:
nuvem computacional, monitoramento de recursos, computação de alto desempenho, recursos computacionais, otimização de custo
Referências
Aceto, G., Botta, A., de Donato, W., and Pescape, A. (2013). Cloud monitoring: A survey. Computer Networks, 57(9).
Al-Ayyoub, M., Jararweh, Y., Daraghmeh, M., and Althebyan, Q. (2015). Multi-agent based dynamic resource provisioning and monitoring for cloud computing systems infrastructure. Cluster Computing, 18(2).
Amazon (2009). Amazon cloudwatch. https://aws.amazon.com/pt/cloudwatch/.
Brandt, J., Gentile, A., Mayo, J., Pebay, P., Roe, D., Thompson, D., and Wong, M. (2009).
Resource monitoring and management with OVIS to enable HPC in cloud computing environments. In IEEE International Symposium on Parallel Distributed Processing.
Chapel, J. (2019). Cloud waste to hit over $14 billion in 2019. https://devops.com/cloud-waste-to-hit-over-14-billion-in-2019/.
De Chaves, S. A., Uriarte, R. B., and Westphall, C. B. (2011). Toward an architecture for monitoring private clouds. IEEE Communications Magazine, 49(12).
Dhingra, M., Lakshmi, J., and Nandy, S. K. (2012). Resource usage monitoring in clouds. In 13th International Conference on Grid Computing.
Fatema, K., Emeakaroha, V. C., Healy, P. D., Morrison, J. P., and Lynn, T. (2014). A survey of cloud monitoring tools: Taxonomy, capabilities and objectives. Journal of Parallel and Distributed Computing, 74(10).
Gutierrez-Aguado, J., Alcaraz Calero, J. M., and Diaz Villanueva, W. (2016). IaaSMon: Monitoring architecture for public cloud computing data centers. J. Grid Comput., 14.
Irimie, B.-C. and Petcu, D. (2015). Scalable and fault tolerant monitoring of security parameters in the cloud. In 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing.
LLC, Z. (2001). Zabbix. www.zabbix.com/.
Nagios (2018). Nagios Core 4 Documentation.
ParkMyCloud (2015). Parkmycloud. parkmycloud.com/.
Perez-Espinoza, J. A., Sosa-Sosa, V. J., and Gonzalez, J. L. (2015). Distribution and load balancing strategies in private cloud monitoring. In 12th International Conference on Electrical Engineering, Computing Science and Automatic Control.
Sotomayor, B., Montero, R., Llorente, I., and Foster, I. (2009). Virtual infrastructure management in private and hybrid clouds. Internet Computing, IEEE, 13.
Xu, X., Chen, Y., and Alcaraz Calero, J. M. (2017). Distributed decentralized collaborative monitoring architecture for cloud infrastructures. Cluster Computing, 20(3).
Al-Ayyoub, M., Jararweh, Y., Daraghmeh, M., and Althebyan, Q. (2015). Multi-agent based dynamic resource provisioning and monitoring for cloud computing systems infrastructure. Cluster Computing, 18(2).
Amazon (2009). Amazon cloudwatch. https://aws.amazon.com/pt/cloudwatch/.
Brandt, J., Gentile, A., Mayo, J., Pebay, P., Roe, D., Thompson, D., and Wong, M. (2009).
Resource monitoring and management with OVIS to enable HPC in cloud computing environments. In IEEE International Symposium on Parallel Distributed Processing.
Chapel, J. (2019). Cloud waste to hit over $14 billion in 2019. https://devops.com/cloud-waste-to-hit-over-14-billion-in-2019/.
De Chaves, S. A., Uriarte, R. B., and Westphall, C. B. (2011). Toward an architecture for monitoring private clouds. IEEE Communications Magazine, 49(12).
Dhingra, M., Lakshmi, J., and Nandy, S. K. (2012). Resource usage monitoring in clouds. In 13th International Conference on Grid Computing.
Fatema, K., Emeakaroha, V. C., Healy, P. D., Morrison, J. P., and Lynn, T. (2014). A survey of cloud monitoring tools: Taxonomy, capabilities and objectives. Journal of Parallel and Distributed Computing, 74(10).
Gutierrez-Aguado, J., Alcaraz Calero, J. M., and Diaz Villanueva, W. (2016). IaaSMon: Monitoring architecture for public cloud computing data centers. J. Grid Comput., 14.
Irimie, B.-C. and Petcu, D. (2015). Scalable and fault tolerant monitoring of security parameters in the cloud. In 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing.
LLC, Z. (2001). Zabbix. www.zabbix.com/.
Nagios (2018). Nagios Core 4 Documentation.
ParkMyCloud (2015). Parkmycloud. parkmycloud.com/.
Perez-Espinoza, J. A., Sosa-Sosa, V. J., and Gonzalez, J. L. (2015). Distribution and load balancing strategies in private cloud monitoring. In 12th International Conference on Electrical Engineering, Computing Science and Automatic Control.
Sotomayor, B., Montero, R., Llorente, I., and Foster, I. (2009). Virtual infrastructure management in private and hybrid clouds. Internet Computing, IEEE, 13.
Xu, X., Chen, Y., and Alcaraz Calero, J. M. (2017). Distributed decentralized collaborative monitoring architecture for cloud infrastructures. Cluster Computing, 20(3).
Publicado
19/08/2020
Como Citar
TAVARES, William F. C.; ASSIS, Marcio Roberto Miranda; BORIN, Edson.
Monitoring HPC applications on the cloud with Zabbix. In: ESCOLA REGIONAL DE ALTO DESEMPENHO DE SÃO PAULO (ERAD-SP), 11. , 2020, Evento Online.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2020
.
p. 70-73.
DOI: https://doi.org/10.5753/eradsp.2020.16889.
