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View all- de Oliveira DPorto FBoeres Cde Oliveira D(2020)Towards optimizing the execution of spark scientific workflows using machine learning‐based parameter tuningConcurrency and Computation: Practice and Experience10.1002/cpe.597233:5Online publication date: 5-Sep-2020
- Rosseti IOcaña Kde Oliveira DMontagnat JTaylor IGesing SSakellariou R(2017)Towards preserving results confidentiality in cloud-based scientific workflowsProceedings of the 12th Workshop on Workflows in Support of Large-Scale Science10.1145/3150994.3151002(1-9)Online publication date: 12-Nov-2017