Marta Mattoso

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Daniel de OliveiraAssociate Professor at Universidade Federal Fluminense (UFF)在 ic.uff.br 的電子郵件地址已通過驗證
Eduardo OgasawaraCEFET/RJ在 ieee.org 的電子郵件地址已通過驗證
Patrick ValduriezInria在 inria.fr 的電子郵件地址已通過驗證
Vítor Silva SousaAI/ML Speech Data Engineer at Apple Inc.在 poli.ufrj.br 的電子郵件地址已通過驗證
Jonas DiasHead of Data Science at Evergen在 evergen.com.au 的電子郵件地址已通過驗證
Fernanda BaiaoAssociate Professor at PUC-Rio在 puc-rio.br 的電子郵件地址已通過驗證
Vanessa BraganholoProfessor of Computer Science, Universidade Federal Fluminense在 ic.uff.br 的電子郵件地址已通過驗證
Kary OcañaNational Laboratory of Scientific Computing (LNCC)在 lncc.br 的電子郵件地址已通過驗證
Leonardo Gresta Paulino MurtaInstituto de Computação (IC), Universidade Federal Fluminense (UFF)在 ic.uff.br 的電子郵件地址已通過驗證
Alvaro CoutinhoProfessor of Civil Engineering在 nacad.ufrj.br 的電子郵件地址已通過驗證
Alexandre A. B. LimaUniversidade Federal do Rio de Janeiro - Campus Duque de Caxias在 caxias.ufrj.br 的電子郵件地址已通過驗證
Sérgio Manuel Serra da CruzProfessor of Computer Science - Department of Computer Sciences - UFRRJ在 ufrrj.br 的電子郵件地址已通過驗證
Maria Luiza CamposProfessor de Ciência da Computação, Universidade Federal do Rio de Janeiro在 ppgi.ufrj.br 的電子郵件地址已通過驗證
Regina BragaComputer Science, Universidade Federal de Juiz de Fora在 ufjf.edu.br 的電子郵件地址已通過驗證
Paulo F. PiresDell Technologies & Associate Professor of Computer Science, Fluminense Federal University (UFF)在 dell.com 的電子郵件地址已通過驗證
Renan SouzaOak Ridge National Laboratory在 ornl.gov 的電子郵件地址已通過驗證
Luiz GadelhaGerman Human Genome-Phenome Archive (GHGA) - German Cancer Research Center (DKFZ)在 dkfz-heidelberg.de 的電子郵件地址已通過驗證
Fabio PortoNational Laboratory of Scientific Computing在 lncc.br 的電子郵件地址已通過驗證
Ian T. FosterUniversity of Chicago and Argonne National Laboratory在 anl.gov 的電子郵件地址已通過驗證
Fernando ChirigatiSpringer Nature在 us.nature.com 的電子郵件地址已通過驗證

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Marta Mattoso

Professor of Computer Science, COPPE, Fed University Rio de Janeiro

在 cos.ufrj.br 的電子郵件地址已通過驗證 - 首頁

Database systems eScience workflows provenance data parallelism


標題按引用次數排序按年份排序按標題排序	引用次數引用次數	年份
A survey of data-intensive scientific workflow management J Liu, E Pacitti, P Valduriez, M Mattoso Journal of Grid Computing 13, 457-493, 2015	392	2015
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	245	2010
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	238	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	181	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	178	2011
Towards a taxonomy of provenance in scientific workflow management systems SMS da Cruz, MLM Campos, M Mattoso 2009 Congress on Services-I, 259-266, 2009	162	2009
Building reliable web services compositions PF Pires, MRF Benevides, M Mattoso Net. ObjectDays: International Conference on Object-Oriented and Internet …, 2002	151	2002
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	146	2012
Towards a taxonomy for cloud computing from an e-science perspective D de Oliveira, FA Baião, M Mattoso Cloud computing: Principles, systems and applications, 47-62, 2010	122	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	119	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	108	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	103	2013
Dynamic steering of HPC scientific workflows: A survey M Mattoso, J Dias, KACS Ocana, E Ogasawara, F Costa, F Horta, V Silva, ... Future Generation Computer Systems 46, 100-113, 2015	93	2015
Odyssey: A reuse environment based on domain models RMM Braga, CML Werner, M Mattoso Proceedings 1999 IEEE Symposium on Application-Specific Systems and Software …, 1999	84	1999
Parallel OLAP query processing in database clusters with data replication AAB Lima, C Furtado, P Valduriez, M Mattoso Distributed and Parallel Databases 25, 97-123, 2009	70	2009
Grid data management: Open problems and new issues E Pacitti, P Valduriez, M Mattoso Journal of Grid Computing 5 (3), 273-281, 2007	70	2007
The use of mediation and ontology technologies for software component information retrieval RMM Braga, M Mattoso, CML Werner Proceedings of the 2001 symposium on Software reusability: putting software …, 2001	70	2001
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	68	2016
Provenance data in the machine learning lifecycle in computational science and engineering R Souza, L Azevedo, V Lourenço, E Soares, R Thiago, R Brandão, ... 2019 IEEE/ACM Workflows in Support of Large-Scale Science (WORKS), 1-10, 2019	64	2019
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

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