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Managing Provenance of Implicit Data Flows in Scientific Experiments.

, , , , and . ACM Trans. Internet Techn., 17 (4): 36:1-36:22 (2017)

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Querying Provenance along with External Domain Data Using Prolog., , , and . J. Inf. Data Manag., 8 (1): 3-18 (2017)Dynamic steering of HPC scientific workflows: A survey., , , , , , , and . Future Gener. Comput. Syst., (2015)A Dynamic Cloud Dimensioning Approach for Parallel Scientific Workflows: a Case Study in the Comparative Genomics Domain., , , , and . J. Grid Comput., 14 (3): 443-461 (2016)SciAgile: Aplicação de Metodologias Ágeis em Experimentos Científicos Baseados em Simulação., , , and . CIbSE, page 511-524. Curran Associates, (2017)Captura e Consulta a Dados de Proveniência Retrospectiva Implícita Intra-Atividade., , , , , and . SBBD, page 37-46. SBC, (2014)Mirror Mirror on the Wall, How Do I Dimension My Cloud After All?, , , , and . Cloud Computing, 2nd Ed., Springer, (2017)Data Analytics in Bioinformatics: Data Science in Practice for Genomics Analysis Workflows., , , and . e-Science, page 322-331. IEEE Computer Society, (2015)An adaptive parallel execution strategy for cloud-based scientific workflows., , , , and . Concurr. Comput. Pract. Exp., 24 (13): 1531-1550 (2012)Xi-DL: um Sistema de Gerência de Data Lake para Monitoramento de Dados da Saúde., , , , , and . SBBD, page 151-156. SBC, (2020)Exploiting the Parallel Execution of Homology Workflow Alternatives in HPC Compute Clouds., , , , and . ICSOC Workshops, volume 8954 of Lecture Notes in Computer Science, page 336-350. Springer, (2014)