Análise de Desempenho da Distribuição de Workflows Científicos em Nuvens com Restrições de Confidencialidade - Archive ouverte HAL Access content directly
Conference Papers Year : 2021

Análise de Desempenho da Distribuição de Workflows Científicos em Nuvens com Restrições de Confidencialidade

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Abstract

Clouds provide an on-demand environment that allows scientists to migrate their local experiments to an elastic environment. Experiments are modeled as scientific workflows, and many of them are computing and data-intensive. The storage of these data is a concern, as confidentiality can be compromised. Malicious users may infer knowledge of the results and structure of workflows. Data dispersion and encryption can be adopted to increase confidentiality, but these mechanisms cannot be adopted uncoupled from workflow scheduling, at the risk of increasing execution time and financial costs. In this paper, we present SaFER (workflow Scheduling with conFidEntity pRoblem), a scheduling approach that considers data confidentiality constraints. * Os autores agradecem ao CNPq, CAPES a FAPERJ por financiarem parcialmente esse trabalho.
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Dates and versions

lirmm-03452298 , version 1 (26-11-2021)

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Rodrigo A. P. Silva, Esther Pacitti, Yuri Y. Frota, Daniel de Oliveira. Análise de Desempenho da Distribuição de Workflows Científicos em Nuvens com Restrições de Confidencialidade. WPerformance 2021 - 20th Workshop on Performance of Computer and Communication Systems, CSBC, Jul 2021, Online, Brazil. pp.37-48, ⟨10.5753/wperformance.2021.15721⟩. ⟨lirmm-03452298⟩
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