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English Information

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Authors
# Name
1 Renan Souza(renanfs@cos.ufrj.br)
2 Vítor Silva(silva@cos.ufrj.br)
3 Pedro Miranda(pmiranda@cos.ufrj.br)
4 Alexandre Lima(assis@cos.ufrj.br)
5 Patrick Valduriez(Patrick.Valduriez@inria.fr)
6 Marta Mattoso(marta@cos.ufrj.br)

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Reference
# Reference
1 Armbrust, M., Zaharia, M., Das, T., Davidson, A., Ghodsi, A., Or, A., Rosen, J., Stoica, I., Wendell, P., et al., (2015), "Scaling spark in the real world: performance and usability", PVLDB, v. 8, n. 12, p. 1840–1843.
2 Atkinson, M., Gesing, S., Montagnat, J., Taylor, I., (2017), "Scientific workflows: past, present and future", FGCS, v. 75, p. 216–227.
3 F. da Silva, R., Filgueira, R., Pietri, I., Jiang, M., Sakellariou, R., Deelman, E., (2017), "A characterization of workflow management systems for extreme-scale applications", FGCS, v. 75, p. 228–238.
4 GitHub. RFA Spark Repository. Available on: github.com/hpcdb/RFA-Spark.
5 Gittens, A., Devarakonda, A., Racah, E., Ringenburg, M., Gerhardt, L., Kottalam, J., Liu, J., Maschhoff, K., Canon, S., et al., (2016), "Matrix factorizations at scale: A comparison of scientific data analytics in Spark and C+MPI using three case studies". In: IEEE Int. Conf. on Big Data, p. 204–213
6 Oliveira, D., Boeres, C., Neto, A., Porto, F., (2015), "Avaliação da localidade de dados intermediários na execução paralela de workflows bigdata". In: SBBD, p. 29–40
7 Özsu, M. T., Valduriez, P., (2011), Principles of distributed database systems. 3 ed. New York, Springer.
8 Raicu, I., Foster, I. T., Zhao, Y., (2008), "Many-task computing for grids and supercomputers". In: MTAGS, p. 1–11
9 Shi, J., Qiu, Y., Minhas, U. F., Jiao, L., Wang, C., Reinwald, B., Özcan, F., (2015), "Clash of the titans: MapReduce vs. Spark for large scale data analytics", PVLDB, v. 8, n. 13, p. 2110–2121.
10 Souza, R., Silva, V., Coutinho, A. L. G. A., Valduriez, P., Mattoso, M., (2016), "Online input data reduction in scientific workflows". In: WORKS, p. 44–53
11 Zhang, Z., Barbary, K., Nothaft, F. A., Sparks, E. R., Zahn, O., Franklin, M. J., Patterson, D. A., Perlmutter, S., (2017), "Kira: processing astronomy imagery using big data technology", IEEE Trans. Big Data, v. PP, n. 99, p. 1–14.