Desempenho de OpenStack e OpenNebula em Estações de Trabalho: Uma Avaliação com Microbenchmarks e NPB. Maron, C. A. F., Griebler, D., Schepke, C., & Fernandes, L. G. Revista Eletrônica Argentina-Brasil de Tecnologias da Informação e da Comunicação (REABTIC), 1(6):15, SETREM, Três de Maio, Brazil, December, 2016.
Desempenho de OpenStack e OpenNebula em Estações de Trabalho: Uma Avaliação com Microbenchmarks e NPB [pdf]Paper  doi  abstract   bibtex   
IaaS (Infrastructure as a Service) clouds provide on-demand computing resources (i.e, memory, networking, storage and processing unit) for running applications. Studies that evaluate the IaaS cloud performance are limited to the virtualization layer and ignore the impact of management tools analysis. In contrast, our research investigates the impact of them in order to identify if there are influences or differences between OpenStack and OpenNebula. We used intensive workloads (microbenchmarks) and scientific parallel applications. Statistically, the results demonstrated that OpenNebula was 11.07% better using microbenchmarks and 8.41% with scientific parallel applications.
@article{larcc:nas_workstations:REABTIC:16,
    author={Carlos A. F. Maron and Dalvan Griebler and Claudio Schepke and Luiz Gustavo Fernandes},
    title={{Desempenho de OpenStack e OpenNebula em Estações de Trabalho: Uma Avaliação com Microbenchmarks e NPB}},
    journal={Revista Eletrônica Argentina-Brasil de Tecnologias da Informação e da Comunicação (REABTIC)},
    number={6},
    volume={1},
    pages={15},
    publisher={SETREM},
    address={Três de Maio, Brazil},
    month={December},
    year={2016},
    doi={10.5281/zenodo.345597},
    url={http://larcc.setrem.com.br/wp-content/uploads/2017/03/MARON_REABTIC_2016.pdf},
    abstract={IaaS (Infrastructure as a Service) clouds provide on-demand computing resources (i.e, memory, networking, storage and processing unit) for running applications. Studies that evaluate the IaaS cloud performance are limited to the virtualization layer and ignore the impact of management tools analysis. In contrast, our research investigates the impact of them in order to identify if there are influences or differences between OpenStack and OpenNebula. We used intensive workloads (microbenchmarks) and scientific parallel applications. Statistically, the results demonstrated that OpenNebula was 11.07% better using microbenchmarks and 8.41% with scientific parallel applications.},
}
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