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"Towards optimizing the execution of spark scientific workflows using ..."

Douglas E. M. de Oliveira et al. (2021)

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DOI: 10.1002/CPE.5972

access: closed

type: Journal Article

metadata version: 2022-03-04

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Douglas E. M. de Oliveira, Fábio Porto, Cristina Boeres, Daniel de Oliveira:
Towards optimizing the execution of spark scientific workflows using machine learning-based parameter tuning. Concurr. Comput. Pract. Exp. 33(5) (2021)

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