D. De-oliveira, K. A. Ocaña, F. Baião, and M. Mattoso, A Provenance-based Adaptive Scheduling Heuristic for Parallel Scientific Workflows in Clouds, Journal of Grid Computing, vol.37, issue.Database issue, pp.521-552, 2012.
DOI : 10.1007/s10723-012-9227-2

J. Liu, V. Silva, E. Pacitti, P. Valduriez, and M. Mattoso, Scientific workflow partitioning in multi-site clouds, BigDataCloud'2014: 3rd Workshop on Big Data Management in Clouds in conjunction with Euro-Par 2014, p.12, 2014.
DOI : 10.1007/978-3-319-14325-5_10
URL : https://hal.archives-ouvertes.fr/lirmm-01073613

J. Liu, E. Pacitti, P. Valduriez, and M. Mattoso, A Survey of Data-Intensive Scientific Workflow Management, Journal of Grid Computing, vol.1, issue.Webserver-Issue, pp.1-37, 2015.
DOI : 10.1007/s10723-015-9329-8
URL : https://hal.archives-ouvertes.fr/lirmm-01144760

J. Liu, E. Pacitti, P. Valduriez, D. De-oliveira, and M. Mattoso, Multi-objective scheduling of Scientific Workflows in multisite clouds, Future Generation Computer Systems, vol.63, pp.76-95, 2016.
DOI : 10.1016/j.future.2016.04.014
URL : https://hal.archives-ouvertes.fr/lirmm-01342203

E. S. Ogasawara, J. Dias, V. Silva, F. S. Chirigati, D. De-oliveira et al., Chiron: a parallel engine for algebraic scientific workflows, Concurrency and Computation: Practice and Experience, pp.252327-2341, 2013.
DOI : 10.1002/cpe.3032
URL : https://hal.archives-ouvertes.fr/lirmm-00806557