Análise de desempenho dos orquestradores: Kubernetes e Docker Swarm
Resumo
Os contêineres visam uma melhor eficiência no uso dos recursos computacionais ao mesmo tempo que fornecem um ambiente virtualizado para aplicações, mas crescem as preocupações sobre a segurança destes. Para utilizar o melhor desta tecnologia surgiram os orquestradores, os quais realizam a manipulação dos contêineres de uma aplicação distribuída. Este trabalho tem por objetivo apresentar os resultados iniciais de uma análise de desempenho de dois orquestradores comumente empregados: Docker Swarm e Kubernetes.Referências
Buyya, R., Rodriguez, M. A., Toosi, A. N., and Park, J. (2018). Cost-efcient orchestration of containers in clouds: A vision, architectural elements, and future directions. CoRR, abs/1807.03578.
Chelladhurai, J., Chelliah, P. R., and Kumar, S. (2016). Securing docker containers from denial of service (dos) attacks. pages 856–859.
Costalba, M. (2021). Stocksh. https://github.com/mcostalba/Stocksh.
Dhumal, A. and Janakiram, D. (2020). C-balancer: A system for container proling and Manpages, D. (2020). Sysbench(1). https://manpages.debian.org/testing/sysbench/sysbench.1.en.scheduling.html.
Marathe, N., Gandhi, A., and Shah, J. M. (2019). Docker swarm and kubernetes in In 2019 3rd International Conference on Trends in cloud computing environment. Electronics and Informatics (ICOEI), pages 179–184.
Masdari, M. and Jalali, M. (2016). A survey and taxonomy of dos attacks in cloud computing. Security and Communication Networks, 9(16):3724–3751.
Pan, Y., Chen, I., Brasileiro, F., Jayaputera, G., and Sinnott, R. (2019). A performance comparison of cloud-based container orchestration tools. pages 191–198.
Pereira Ferreira, A. and Sinnott, R. (2019). A performance evaluation of containers runIn 2019 IEEE International Conference on
ning on managed kubernetes services. Cloud Computing Technology and Science (CloudCom), pages 199–208.
polinux (2021). Stress in a docker (alpine). https://hub.docker.com/r/polinux/stress.
Rodriguez, M. A. and Buyya, R. (2018). Containers orchestration with cost-efcient autoscaling in cloud computing environments.
Swarm, D. (2020). key-concepts/.
Swarm mode key concepts. https://docs.docker.com/engine/swarm/
Zhou, N., Georgiou, Y., Zhong, L., Zhou, H., and Pospieszny, M. (2020). Container orchestration on hpc systems.
Chelladhurai, J., Chelliah, P. R., and Kumar, S. (2016). Securing docker containers from denial of service (dos) attacks. pages 856–859.
Costalba, M. (2021). Stocksh. https://github.com/mcostalba/Stocksh.
Dhumal, A. and Janakiram, D. (2020). C-balancer: A system for container proling and Manpages, D. (2020). Sysbench(1). https://manpages.debian.org/testing/sysbench/sysbench.1.en.scheduling.html.
Marathe, N., Gandhi, A., and Shah, J. M. (2019). Docker swarm and kubernetes in In 2019 3rd International Conference on Trends in cloud computing environment. Electronics and Informatics (ICOEI), pages 179–184.
Masdari, M. and Jalali, M. (2016). A survey and taxonomy of dos attacks in cloud computing. Security and Communication Networks, 9(16):3724–3751.
Pan, Y., Chen, I., Brasileiro, F., Jayaputera, G., and Sinnott, R. (2019). A performance comparison of cloud-based container orchestration tools. pages 191–198.
Pereira Ferreira, A. and Sinnott, R. (2019). A performance evaluation of containers runIn 2019 IEEE International Conference on
ning on managed kubernetes services. Cloud Computing Technology and Science (CloudCom), pages 199–208.
polinux (2021). Stress in a docker (alpine). https://hub.docker.com/r/polinux/stress.
Rodriguez, M. A. and Buyya, R. (2018). Containers orchestration with cost-efcient autoscaling in cloud computing environments.
Swarm, D. (2020). key-concepts/.
Swarm mode key concepts. https://docs.docker.com/engine/swarm/
Zhou, N., Georgiou, Y., Zhong, L., Zhou, H., and Pospieszny, M. (2020). Container orchestration on hpc systems.
Publicado
14/04/2021
Como Citar
JENSEN, Nikolas; MIERS, Charles.
Análise de desempenho dos orquestradores: Kubernetes e Docker Swarm. In: ESCOLA REGIONAL DE ALTO DESEMPENHO DA REGIÃO SUL (ERAD-RS), 21. , 2021, Evento Online.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2021
.
p. 25-28.
ISSN 2595-4164.
DOI: https://doi.org/10.5753/eradrs.2021.14766.
