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English Information

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Authors
# Name
1 João Antonio Ferreira(joao.parana@acm.org)
2 Jorge Soares(jorge@eic.cefet-rj.br)
3 Fabio Porto(Fporto@lncc.br)
4 Esther Pacitti( Esther.Pacitti@inria.fr)
5 Rafaelli Coutinho(rafaelli.coutinho@cefet-rj.br)
6 Eduardo Ogasawara(eogasawara@ieee.org)

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Reference
# Reference
1 Bouganim, L., Florescu, D., and Valduriez, P. (1996). Dynamic Load Balancing in Hierarchical Parallel Database Systems. In Proceedings of the 22th International Conference on Very Large Data Bases, VLDB ’96, pages 436–447, San Francisco, CA, USA. Morgan Kaufmann Publishers Inc.
2 Bryant, R. (2011). Data-intensive scalable computing for scientific applications. Computing in Science and Engineering, 13(6):25–33.
3 Elmasri, R. and Navathe, S. B. (2015). Fundamentals of Database Systems. Pearson, Boston und 24 andere, 7 edition.
4 Fegaras, L. (2017). An algebra for distributed Big Data analytics. Journal of Functional Programming.
5 Hsu, M., Chen, Q., Wu, R., Zhang, B., and Zeller, H. (2010). Generalized UDF for analytics inside database engine. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6184 LNCS:742–754.
6 Liu, J., Pacitti, E., Valduriez, P., and Mattoso, M. (2015). A Survey of Data-Intensive Scientific Workflow Management. Journal of Grid Computing, pages 1–37.
7 Ogasawara, E., de Oliveira, D., Valduriez, P., Dias, J., Porto, F., and Mattoso, M. (2011). An algebraic approach for data-centric scientific workflows. In Proceedings of the VLDB Endowment, volume 4, pages 1328–1339.
8 Ogasawara, E., Dias, J., Silva, V., Chirigati, F., Oliveira, D. d., Porto, F., Valduriez, P., and Mattoso, M. (2013). Chiron: a parallel engine for algebraic scientific workflows. Concurrency and Computation: Practice and Experience, 25(16):2327–2341.
9 Rheinlander, A., Heise, A., Hueske, F., Leser, U., and Naumann, F. (2015). SOFA: An extensible logical optimizer for UDF-heavy data flows. Information Systems, 52:96–125.
10 Rheinländer, A., Leser, U., and Graefe, G. (2017). Optimization of complex dataflows with userdefined functions. ACM Computing Surveys, 50(3).
11 Tamer Ozsu, M. and Valduriez, P. (2011). Principles of Distributed Database Systems. Springer, New York, 3 edition.
12 Zaharia, M., Franklin, M. J., Ghodsi, A., Gonzalez, J., Shenker, S., Stoica, I., Xin, R. S., Wendell, P., Das, T., Armbrust, M., Dave, A., Meng, X., Rosen, J., and Venkataraman, S. (2016). Apache spark: A unified engine for big data processing. Communications of the ACM, 59(11):56–65.