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English Information

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Authors
# Name
1 Victor de Farias(victor.farias@lsbd.ufc.br)
2 Flávio Sousa(flavio.sousa@lsbd.ufc.br)
3 Pedro Pinheiro(pedro.ramyres@lsbd.ufc.br)
4 João Gomes(joao.pordeus@lsbd.ufc.br)
5 Javam Machado(javam.machado@lsbd.ufc.br)

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Reference
# Reference
1 Cooper, B. F., Silberstein, A., Tam, E., Ramakrishnan, R., and Sears, R. (2010). Benchmarking cloud serving systems with ycsb. In Proceedings of the 1st ACM symposium on Cloud computing, pages 143–154. ACM.
2 Didona, D. and Romano, P. (2014). On bootstrapping machine learning performance predictors via analytical models. arXiv preprint arXiv:1410.5102.
3 Duggan, J., Cetintemel, U., Papaemmanouil, O., and Upfal, E. (2011). Performance prediction for concurrent database workloads. In ACM SIGMOD, pages 337–348. ACM.
4 Elmore, A. J., Das, S., Agrawal, D., and El Abbadi, A. (2011). Zephyr: live migration in shared nothing databases for elastic cloud platforms. In SIGMOD ’11, pages 301–312.
5 Farias, V. A. E., Sousa, F. R. C., Maia, J. G. R., Gomes, J. a. P. P., and Machado, J. C. (2016a). Elastic provisioning for cloud databases with uncertainty management. In ACM SAC, pages 390–397.
6 Farias, V. A. E., Sousa, F. R. C., Maia, J. G. R., Gomes, J. P. P., and Machado, J. C. (2016b). Machine learning approach for cloud nosql databases performance modeling. In CCGrid, pages 617–620.
7 Ganapathi, A., Kuno, H., Dayal, U., Wiener, J. L., Fox, A., Jordan, M., and Patterson, D. (2009). Predicting multiple metrics for queries: Better decisions enabled by machine learning. In ICDE, pages 592–603. IEEE.
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