| Scicumulus: A lightweight cloud middleware to explore many task computing paradigm in scientific workflows D de Oliveira, E Ogasawara, F Baião, M Mattoso 2010 IEEE 3rd International Conference on Cloud Computing, 378-385, 2010 | 246 | 2010 |
| Towards supporting the life cycle of large scale scientific experiments M Mattoso, C Werner, GH Travassos, V Braganholo, E Ogasawara, ... International Journal of Business Process Integration and Management 5 (1 …, 2010 | 179 | 2010 |
| An algebraic approach for data-centric scientific workflows E Ogasawara, D De Oliveira, P Valduriez, J Dias, F Porto, M Mattoso Proceedings of the VLDB Endowment (PVLDB) 4 (11), 1328-1339, 2011 | 174 | 2011 |
| Adaptive normalization: A novel data normalization approach for non-stationary time series E Ogasawara, LC Martinez, D De Oliveira, G Zimbrão, GL Pappa, ... The 2010 International Joint Conference on Neural Networks (IJCNN), 1-8, 2010 | 170 | 2010 |
| A provenance-based adaptive scheduling heuristic for parallel scientific workflows in clouds D de Oliveira, KACS Ocaña, F Baião, M Mattoso Journal of grid Computing 10, 521-552, 2012 | 140 | 2012 |
| Towards a taxonomy for cloud computing from an e-science perspective D de Oliveira, FA Baião, M Mattoso Cloud Computing, 47-62, 2010 | 117 | 2010 |
| Sciphy: a cloud-based workflow for phylogenetic analysis of drug targets in protozoan genomes KACS Ocaña, D de Oliveira, E Ogasawara, AMR Dávila, AAB Lima, ... Advances in Bioinformatics and Computational Biology: 6th Brazilian …, 2011 | 114 | 2011 |
| Chiron: a parallel engine for algebraic scientific workflows E Ogasawara, J Dias, V Silva, F Chirigati, D de Oliveira, F Porto, ... Concurrency and Computation: Practice and Experience 25 (16), 2327-2341, 2013 | 103 | 2013 |
| Capturing and querying workflow runtime provenance with PROV: a practical approach F Costa, V Silva, D de Oliveira, K Ocaña, E Ogasawara, J Dias, M Mattoso Proceedings of the Joint EDBT/ICDT 2013 Workshops, 282-289, 2013 | 99 | 2013 |
| Dynamic steering of HPC scientific workflows: A survey M Mattoso, J Dias, KACS Ocaña, E Ogasawara, F Costa, F Horta, V Silva, ... Future Generation Computer Systems 46, 100-113, 2015 | 80 | 2015 |
| Multi-objective scheduling of Scientific Workflows in multisite clouds J Liu, E Pacitti, P Valduriez, D de Oliveira, M Mattoso Future Generation Computer Systems 63, 76-95, 2016 | 64 | 2016 |
| An adaptive parallel execution strategy for cloud‐based scientific workflows D de Oliveira, E Ogasawara, K Ocaña, F Baião, M Mattoso Concurrency and Computation: Practice and Experience 24 (13), 1531-1550, 2012 | 64 | 2012 |
| Exploring many task computing in scientific workflows E Ogasawara, D de Oliveira, F Chirigati, CE Barbosa, R Elias, ... Proceedings of the 2nd Workshop on Many-Task Computing on Grids and …, 2009 | 63 | 2009 |
| Optimizing virtual machine allocation for parallel scientific workflows in federated clouds RC Coutinho, LMA Drummond, Y Frota, D de Oliveira Future Generation Computer Systems 46, 51-68, 2015 | 60 | 2015 |
| A hybrid evolutionary algorithm for task scheduling and data assignment of data-intensive scientific workflows on clouds L Teylo, U de Paula, Y Frota, D de Oliveira, LMA Drummond Future Generation Computer Systems 76, 1-17, 2017 | 59 | 2017 |
| Performance evaluation of parallel strategies in public clouds: A study with phylogenomic workflows D De Oliveira, KACS Ocana, E Ogasawara, J Dias, J Gonçalves, F Baiao, ... Future Generation Computer Systems 29 (7), 1816-1825, 2013 | 48 | 2013 |
| Supporting dynamic parameter sweep in adaptive and user-steered workflow J Dias, E Ogasawara, D de Oliveira, F Porto, ALGA Coutinho, M Mattoso Proceedings of the 6th workshop on Workflows in support of large-scale …, 2011 | 48 | 2011 |
| Optimizing Phylogenetic Analysis Using SciHmm Cloud-based Scientific Workflow KACS Ocaña, D de Oliveira, J Dias, E Ogasawara, M Mattoso E-Science (e-Science), 2011 IEEE 7th International Conference on, 62-69, 2011 | 44 | 2011 |
| Parallel computing in genomic research: advances and applications K Ocaña, D de Oliveira Advances and applications in bioinformatics and chemistry, 23-35, 2015 | 40 | 2015 |
| A superpixel-driven deep learning approach for the analysis of dermatological wounds G Blanco, AJM Traina, C Traina Jr, PM Azevedo-Marques, AES Jorge, ... Computer methods and programs in biomedicine 183, 105079, 2020 | 39 | 2020 |
Marta MattosoProfessor of Computer Science, COPPE, Fed University Rio de JaneiroVerified email at cos.ufrj.br
