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Daniel de Oliveira
Daniel de Oliveira
Other namesDaniel Cardoso Moraes de Oliveira, Daniel C. M. de Oliveira, Daniel Moraes de Oliveira
Associate Professor at Universidade Federal Fluminense (UFF)
Verified email at ic.uff.br - Homepage
Title
Cited by
Cited by
Year
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
2402010
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
1752011
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
1712010
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
1372010
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 (3), 521-552, 2012
1362012
Sciphy: a cloud-based workflow for phylogenetic analysis of drug targets in protozoan genomes
KACS Ocaña, D Oliveira, E Ogasawara, AMR Dávila, AAB Lima, ...
Brazilian Symposium on Bioinformatics, 66-70, 2011
1122011
Towards a taxonomy for cloud computing from an e-science perspective
D de Oliveira, FA Baião, M Mattoso
Cloud Computing, 47-62, 2010
1112010
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
1032013
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
892013
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
772015
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
622012
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
612009
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
602015
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
592016
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
512017
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
482011
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
442013
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
432011
UNCERTAINTY QUANTIFICATION IN COMPUTATIONAL PREDICTIVE MODELS FOR FLUID DYNAMICS USING A WORKFLOW MANAGEMENT ENGINE
G Guerra, FA Rochinha, R Elias, D de Oliveira, E Ogasawara, JF Dias, ...
International Journal for Uncertainty Quantification 2 (1), 2012
392012
Raw data queries during data-intensive parallel workflow execution
V Silva, J Leite, JJ Camata, D de Oliveira, ALGA Coutinho, P Valduriez, ...
Future Generation Computer Systems, 2017
372017
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