Impacto do uso de contêineres em um serviço de nuvem HTC
Resumo
A virtualização por contêineres vem ganhando popularidade nos últimos anos devido à criação de ambientes virtuais isolados com uma alocação eficiente de recursos computacionais para a execução de aplicações considerando o compartilhamento de recursos. Este trabalho tem por objetivo verificar se esta melhoria é sempre possível através da comparação do uso de contêineres e máquinas virtuais para a execução de uma aplicação científica de biodiversidade usado em um serviço de nuvem. Em particular, sua eficiência na escalabilidade desses ambientes virtuais em Computação de Alta Vazão é analisada.
Referências
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VmWare (2016). vsphere e vsphere with operations management. http://www.vmware.com/br/products/vsphere.html. Acessado em: 10/08/2016.
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Babu, S., Hareesh, M., Martin, J., and Sastri, Y. (2014). System performance evalua- tion of para virtualization, container virtualization, and full virtualization using Xen, OpenVZ, and XenServer. In Advances in Computing and Communications (ICACC), 2014 Fourth International Conference on, pages 247–250.
de Souza Munoz, M., De Giovanni, R., de Siqueira, M., Sutton, T., Brewer, P., Pereira, R., Canhos, D., and Canhos, V. (2011). Openmodeller: a generic approach to species' potential distribution modelling. GeoInformatica, 15(1):111–135.
Docker (2016). Docker engine user guide. https://docs.docker.com/engine/userguide/. Acessado em: 01/07/2016.
Felter, W., Ferreira, A., Rajamony, R., and Rubio, J. (2015). An updated performance comparison of virtual machines and linux containers. In IEEE International Sympo- sium on Performance Analysis of Systems and Software (ISPASS), pages 171–172.
Geller, G. N. and Melton, F. (2008). Looking forward: Applying an ecological model web to assess impacts of climate change. Biodiversity, 9(3-4):79–83.
Intel (2016). Intel Virtualization Technology (Intel VT). http://www.intel.com.br/content/www/br/pt/virtualization/virtualization-technology/intel-virtualization-technology.html. Acessado em: 10/08/2016.
KVM (2016). Kernel virtual machine. http://www.linux-kvm.org/page/Main_Page. Acessado em: 10/08/2016.
Muhammad, H. (2016). htop - an interactive process viewer for unix. http://hisham.hm/htop/. Acessado em: 01/07/2016.
OpenMPI (2016). OpenMPI: Open source high performance computing. https://www.open-mpi.org/. Acessado em: 01/07/2016.
Pearce, M., Zeadally, S., and Hunt, R. (2013). Virtualization: Issues, security threats, and solutions. ACM Comput. Surv., 45(2):1–39.
Phillips, S. J., Dudík, M., and Schapire, R. E. (2004). A maximum entropy approach In Proc. of the 21st International Conference on to species distribution modeling. Machine Learning, pages 83–90.
Soltesz, S., Pötzl, H., Fiuczynski, M. E., Bavier, A., and Peterson, L. (2007). Container- based operating system virtualization: A scalable, high-performance alternative to hy- pervisors. In Proc. of the 2nd ACM SIGOPS/EuroSys European Conference on Com- puter Systems 2007, pages 275–287.
Stockwell, D. (1999). The garp modelling system: problems and solutions to automated spatial prediction. International Journal of Geographical Information Science, 13(2):143–158.
Su, Y., Liao, X., Jin, H., and Bell, T. (2010). Data hiding in virtual machine disk images. In IEEE International Conference on Computer and Information Technology (CIT), pages 2278–2283.
VmWare (2016). vsphere e vsphere with operations management. http://www.vmware.com/br/products/vsphere.html. Acessado em: 10/08/2016.
Xavier, M. G., Neves, M. V., and Rose, C. A. F. D. (2014). A performance comparison of container-based virtualization systems for MapReduce clusters. In 2014 22nd Euromi- cro International Conference on Parallel, Distributed, and Network-Based Processing, pages 299–306.
Xavier, M. G., Neves, M. V., Rossi, F. D., Ferreto, T. C., Lange, T., and Rose, C. A. F. D. (2013). Performance evaluation of container-based virtualization for high performance In 21st Euromicro International Conference on Parallel, computing environments. Distributed, and Network-Based Processing, pages 233–240.
Xen (2016). Xen server. http://xenserver.org/. Acessado em: 10/08/2016.
Zarco-González, M. M., Monroy-Vilchis, O., and Alaníz, J. (2013). Spatial model of livestock predation by jaguar and puma in Mexico: Conservation planning. Biological Conservation, 159:80 – 87.
Publicado
05/10/2016
Como Citar
NICODEMUS, Carlos; BOERES, Cristina; REBELLO, Vinod.
Impacto do uso de contêineres em um serviço de nuvem HTC. In: SIMPÓSIO EM SISTEMAS COMPUTACIONAIS DE ALTO DESEMPENHO (SSCAD), 17. , 2016, Aracajú.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2016
.
p. 191-202.
DOI: https://doi.org/10.5753/wscad.2016.14259.
