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Using Domain-Specific Data to Enhance Scientific Workflow Steering Queries.

, , , , and . IPAW, volume 7525 of Lecture Notes in Computer Science, page 152-167. Springer, (2012)

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Querying Provenance along with External Domain Data Using Prolog., , , and . J. Inf. Data Manag., 8 (1): 3-18 (2017)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)Dynamic steering of HPC scientific workflows: A survey., , , , , , , and . Future Gener. Comput. Syst., (2015)Mirror Mirror on the Wall, How Do I Dimension My Cloud After All?, , , , and . Cloud Computing, 2nd Ed., Springer, (2017)Captura e Consulta a Dados de Proveniência Retrospectiva Implícita Intra-Atividade., , , , , and . SBBD, page 37-46. SBC, (2014)Data Analytics in Bioinformatics: Data Science in Practice for Genomics Analysis Workflows., , , and . e-Science, page 322-331. IEEE Computer Society, (2015)ArrOW: Experiencing a Parallel Cloud-Based De Novo Assembler Workflow., , and . IPDPS Workshops, page 185-190. IEEE, (2019)BioWorkbench: A High-Performance Framework for Managing and Analyzing Bioinformatics Experiments., , , , , , , , , and 1 other author(s). CoRR, (2018)Gerência de Incerteza em Bancos de Dados de Proveniência de Workflows de Bioinformática., , , , and . SBBD, page 181-186. SBC, (2016)