2016
[Campisano 2016] R. Campisano, F. Porto, E. Pacitti, F. Masseglia, and E. Ogasawara. Spatial Sequential Pattern Mining for Seismic Data. SBBD Conference, to appear, 2016.
[Liu 2016a] J. Liu, E. Pacitti, P. Valduriez, D. de Oliveira, M. Mattoso. Multi-Objective Scheduling of Scientific Workflows in Multisite Clouds. Future Generation Computer Systems, Elsevier, 63: 76-95, 2016.
[Liu 2016b] J. Liu, E. Pacitti, P. Valduriez, M. Mattoso. Scientific Workflow Scheduling with Provenance Support in Multisite Cloud. Int. Conf. on High Performance Computing for Computational Science (VecPar), 2016.
[Liu 2016c] J. Liu, E. Pacitti, P. Valduriez, D. de Oliveira, M. Mattoso. Multi-Objective Scheduling of Scientific Workflows in Multisite Clouds. In BDA’2016 : Gestion de données – principles, technologies et applications, to appear, 2016.
[Liu 2016d] Ji Liu. Multisite Management of Scientific Workflows in the Cloud. PhD thesis, 3 November 2016, University of Montpellier. Advisors: E. Pacitti, P. Valduriez, M. Mattoso.
[Lustosa 2016] H. Lustosa, F. Porto, P. Blanco, P. Valduriez. Database System Support of Simulation Data. Proceedings of the VLDB Endowment (PVLDB), 9(13): 1329-1340, 2016.
[Silva 2016a] V. Silva, J. Camata, D.de Oliveira, A. Coutinho, P. Valduriez, M. Mattoso. In Situ Data Steering on Sedimentation Simulation with Provenance Data. Int. Conf. for High Performance Computing, Networking, Storage and Analysis, to appear, 2016.
[Silva 2016b] V. Silva, J. Leite, J. Camata, D. Oliveira, A. Coutinho. P. Valduriez, M. Mattoso. Raw Data Queries during Data-intensive Parallel Workflow Execution. Special Issue on Workflows in Support of Large-Scale Science, Future Generation Computer Systems, Elsevier, to appear, 2016.
[Silva 2016c] V. Silva, D. de Oliveira, P. Valduriez, M. Mattoso. Analyzing Related Raw Data Files through Dataflows. Concurrency and Computation: Practice and Experience, 28(8): 2528-2545, 2016.
2015
[Dias 2015] J. Dias, G. Guerra, F. Rochinha, A. Coutinho, P. Valduriez, M. Mattoso. Data-Centric Iteration in Dynamic Workflows. Future Generation Computer Systems, Elsevier, 4:114-126, 2015.
[Liu 2015] Liu, V. Silva, E. Pacitti, P. Valduriez, M. Mattoso. Parallelization of Scientific Workflows in the Cloud. Journal of Grid Computing, 13(4):457-493, 2015.
[Lustosa 2015] H. Lustosa, F. Porto, R. Costa, P. Blanco, P. Valduriez. Managing Simulation Data with Multidimensional Arrays. Brazilian Symposium on Databases (SBBD), 2015.
[Souza 2015] R. Souza, V. Silva, D. de Oliveira, P. Valduriez, A. Lima, M. Mattoso. Parallel Execution of Workflows Driven by a Distributed Database Management System. Int. Conf. For High Performance Computing, Networking, Storage and Analysis (SC15), 2015.
2014
[Freire 2014] V. P. Freire, J. A. F. de Macedo, F. Porto, R. Akbarinia, NACluster: A Non-Supervised Clustering Algorithm for Matching Multi Catalogues, 10th IEEE International Conference on e-Science, 2014.
[Liu 2014a] J. Liu, V. Silva, E. Pacitti, P. Valduriez, M. Mattoso. Scientific Workflow Partitioning in Multisite Cloud. 7th International Workshop on Multi/many-Core Computing Systems, EuroPar 2014.
[Liu 2014b] J. Liu, E. Pacitti, P. Valduriez, M. Mattoso. Multisite Management of Data-intensive Scientific Workflows in the Cloud. BDA Conference, 2014.
[Silva 2014] Vitor Silva. Uma Estratégia de Execução Paralela Adaptável de Workflows Científicos. Master thesis, UFRJ, Rio de Janeiro, 28 August 2014. Advisors: M. Mattoso, P. Valduriez.
