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ORCIDMarta Mattoso
Marta L. Queiros Mattoso
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- affiliation: Federal University of Rio de Janeiro, Brazil
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2020 – today
- 2024
[c153]Débora B. Pina
, Adriane Chapman, Liliane N. O. Kunstmann, Daniel de Oliveira, Marta Mattoso:
DLProv: A Data-Centric Support for Deep Learning Workflow Analyses. DEEM@SIGMOD 2024: 77-85- [c152]Renan Souza, Silvina Caíno-Lores, Mark Coletti, Tyler J. Skluzacek, Alexandru Costan, Frédéric Suter, Marta Mattoso, Rafael Ferreira da Silva:
Workflow Provenance in the Computing Continuum for Responsible, Trustworthy, and Energy-Efficient AI. e-Science 2024: 1-7 - [i8]Liliane N. O. Kunstmann, Débora B. Pina, Daniel de Oliveira, Marta Mattoso:
ProvDeploy: Provenance-oriented Containerization of High Performance Computing Scientific Workflows. CoRR abs/2403.15324 (2024) - 2023
- [j67]Reza Akbarinia, Christophe Botella, Alexis Joly, Florent Masseglia, Marta Mattoso, Eduardo S. Ogasawara, Daniel de Oliveira, Esther Pacitti, Fábio Porto, Christophe Pradal, Dennis E. Shasha, Patrick Valduriez:
Life Science Workflow Services (LifeSWS): Motivations and Architecture. Trans. Large Scale Data Knowl. Centered Syst. 55: 1-24 (2023) - [c151]Daniel Rosendo, Marta Mattoso, Alexandru Costan, Renan Souza, Débora B. Pina, Patrick Valduriez, Gabriel Antoniu:
ProvLight: Efficient Workflow Provenance Capture on the Edge-to-Cloud Continuum. CLUSTER 2023: 221-233 - [c150]Lyncoln S. de Oliveira, Liliane N. O. Kunstmann, Débora B. Pina, Daniel de Oliveira, Marta Mattoso:
PINNProv: Provenance for Physics-Informed Neural Networks. SBAC-PADW 2023: 16-23 - [c149]Filipe Silva, Marta Mattoso:
Integrador de metadados modular para aprendizado de máquina com visualização em tempo de execução. SBBD 2023: 445-450 - [c148]Débora B. Pina, Adriane Chapman, Daniel de Oliveira, Marta Mattoso:
Deep Learning Provenance Data Integration: a Practical Approach. WWW (Companion Volume) 2023: 1542-1550 - [i7]Daniel Rosendo, Marta Mattoso, Alexandru Costan, Renan Souza, Débora B. Pina, Patrick Valduriez, Gabriel Antoniu:
ProvLight: Efficient Workflow Provenance Capture on the Edge-to-Cloud Continuum. CoRR abs/2307.10658 (2023) - 2022
- [j66]Renan Souza, Leonardo Guerreiro Azevedo, Vítor Lourenço, Elton F. S. Soares, Raphael Thiago, Rafael Brandão, Daniel Civitarese, Emilio Vital Brazil, Márcio Ferreira Moreno, Patrick Valduriez, Marta Mattoso, Renato Cerqueira, Marco A. S. Netto:
Workflow provenance in the lifecycle of scientific machine learning. Concurr. Comput. Pract. Exp. 34(14) (2022) - [j65]Claudio Teixeira, Luana Fragoso, Marta Mattoso, Diego Carvalho, Eduardo Bezerra, Jorge de Abreu Soares, Glauco Amorim, Eduardo S. Ogasawara:
A horizontal partitioning-based method for frequent pattern mining in transport timetable. Expert Syst. J. Knowl. Eng. 39(2) (2022) - [j64]Egberto A. R. de Oliveira, Atslands Rego da Rocha, Marta Mattoso, Flávia Coimbra Delicato:
Latency and Energy-Awareness in Data Stream Processing for Edge Based IoT Systems. J. Grid Comput. 20(3): 27 (2022) - [j63]Débora B. Pina, Liliane N. O. Kunstmann, Felipe Bevilaqua, Isabela Siqueira, Alan De Oliveira Lyra, Daniel de Oliveira, Marta Mattoso:
Capturing Provenance from Deep Learning Applications Using Keras-Prov and Colab: a Practical Approach. J. Inf. Data Manag. 13(5) (2022) - [c147]Lyncoln S. de Oliveira, Rômulo M. Silva, Liliane N. O. Kunstmann, Débora B. Pina, Daniel de Oliveira, Alvaro L. G. A. Coutinho, Marta Mattoso:
Dados de proveniência para redes neurais guiadas pela Física: o caso da equação eikonal. SBBD 2022: 373-378 - 2021
- [j62]Liliane N. O. Kunstmann, Débora B. Pina, Filipe Silva, Aline Paes, Patrick Valduriez, Daniel de Oliveira, Marta Mattoso:
Online Deep Learning Hyperparameter Tuning based on Provenance Analysis. J. Inf. Data Manag. 12(5) (2021) - [j61]Vinícius Salazar, João Cavalcante, Daniel de Oliveira, Fabiano L. Thompson, Marta Mattoso:
BioProv - A provenance library for bioinformatics workflows. J. Open Source Softw. 6(67): 3622 (2021) - [j60]Renan Souza, Vítor Silva, Alexandre A. B. Lima, Daniel de Oliveira, Patrick Valduriez, Marta Mattoso:
Distributed in-memory data management for workflow executions. PeerJ Comput. Sci. 7: e527 (2021) - [c146]Egberto A. R. de Oliveira, Flávia Coimbra Delicato, Atslands Rego da Rocha, Marta Mattoso:
A Real-time and Energy-aware Framework for Data Stream Processing in the Internet of Things. IoTBDS 2021: 17-28 - [c145]Débora B. Pina, Liliane N. O. Kunstmann, Daniel de Oliveira, Patrick Valduriez, Marta Mattoso:
Provenance Supporting Hyperparameter Analysis in Deep Neural Networks. IPAW 2021: 20-38 - [d1]Vinícius Salazar, João Vitor Ferreira Cavalcante, Daniel de Oliveira, Fabiano L. Thompson, Marta Mattoso:
vinisalazar/BioProv: Release v0.1.24. Zenodo, 2021
- [i6]Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Dan Laney, Dong H. Ahn, Shantenu Jha, Carole A. Goble, Lavanya Ramakrishnan, J. Luc Peterson, Bjoern Enders, Douglas Thain, Ilkay Altintas, Yadu N. Babuji, Rosa M. Badia, Vivien Bonazzi, Tainã Coleman, Michael R. Crusoe, Ewa Deelman, Frank Di Natale, Paolo Di Tommaso, Thomas Fahringer, Rosa Filgueira, Grigori Fursin, Alex Ganose, Björn A. Grüning, Daniel S. Katz, Olga A. Kuchar, Ana Kupresanin, Bertram Ludäscher, Ketan Maheshwari, Marta Mattoso, Kshitij Mehta, Todd S. Munson, Jonathan Ozik, Tom Peterka, Loic Pottier, Tim Randles, Stian Soiland-Reyes, Benjamín Tovar, Matteo Turilli, Thomas D. Uram, Karan Vahi, Michael Wilde, Matthew Wolf, Justin M. Wozniak:
Workflows Community Summit: Bringing the Scientific Workflows Community Together. CoRR abs/2103.09181 (2021) - [i5]Renan Souza, Vítor Silva, Alexandre A. B. Lima, Daniel de Oliveira, Patrick Valduriez, Marta Mattoso:
Distributed In-memory Data Management for Workflow Executions. CoRR abs/2105.04720 (2021) - 2020
- [j59]Vítor Silva, Leonardo Neves, Renan Souza, Alvaro L. G. A. Coutinho, Daniel de Oliveira, Marta Mattoso:
Adding domain data to code profiling tools to debug workflow parallel execution. Future Gener. Comput. Syst. 110: 422-439 (2020) - [j58]Renan Souza, Vítor Silva, Alvaro L. G. A. Coutinho, Patrick Valduriez, Marta Mattoso:
Data reduction in scientific workflows using provenance monitoring and user steering. Future Gener. Comput. Syst. 110: 481-501 (2020) - [j57]Thaylon Guedes, Lucas Bertelli Martins, Maria Luiza Furtuozo Falci, Vítor Silva, Kary A. C. S. Ocaña, Marta Mattoso, Marcos V. N. Bedo, Daniel de Oliveira:
Capturing and Analyzing Provenance from Spark-based Scientific Workflows with SAMbA-RaP. Future Gener. Comput. Syst. 112: 658-669 (2020) - [j56]Carlos Henrique dos S. Barbosa, Liliane N. O. Kunstmann, Rômulo M. Silva, Charlan Dellon da Silva Alves, Bruno S. Silva, Djalma M. S. Filho, Marta Mattoso, Fernando Rochinha, Alvaro L. G. A. Coutinho:
A workflow for seismic imaging with quantified uncertainty. Comput. Geosci. 145: 104615 (2020) - [j55]Vítor Silva, Vinícius Campos, Thaylon Guedes, José J. Camata, Daniel de Oliveira, Alvaro L. G. A. Coutinho, Patrick Valduriez, Marta Mattoso:
DfAnalyzer: Runtime dataflow analysis tool for Computational Science and Engineering applications. SoftwareX 12: 100592 (2020) - [c144]Débora B. Pina, Liliane N. O. Kunstmann, Daniel de Oliveira, Patrick Valduriez, Marta Mattoso:
Uma abordagem para coleta e análise de dados de configurações em redes neurais profundas. SBBD 2020: 187-192 - [c143]Luiz Gustavo Dias, Marta Mattoso, Bruno Lopes, Daniel de Oliveira:
Experiencing DfAnalyzer for Runtime Analysis of Phylogenomic Dataflows. BSB 2020: 105-116 - [i4]Renan Souza, Leonardo Guerreiro Azevedo, Vítor Lourenço, Elton F. S. Soares, Raphael Thiago, Rafael Brandão, Daniel Civitarese, Emilio Vital Brazil, Márcio Ferreira Moreno, Patrick Valduriez, Marta Mattoso, Renato Cerqueira, Marco A. S. Netto:
Workflow Provenance in the Lifecycle of Scientific Machine Learning. CoRR abs/2010.00330 (2020)
2010 – 2019
- 2019
- [j54]Renan Souza, Vítor Silva, José J. Camata, Alvaro L. G. A. Coutinho, Patrick Valduriez, Marta Mattoso:
Keeping track of user steering actions in dynamic workflows. Future Gener. Comput. Syst. 99: 624-643 (2019) - [j53]Ji Liu, Luis Pineda-Morales, Esther Pacitti, Alexandru Costan, Patrick Valduriez, Gabriel Antoniu, Marta Mattoso:
Efficient Scheduling of Scientific Workflows Using Hot Metadata in a Multisite Cloud. IEEE Trans. Knowl. Data Eng. 31(10): 1940-1953 (2019) - [c142]Renan Souza, Marta Mattoso, Leonardo Azevedo, Raphael Thiago, Elton F. de Souza Soares, Marcelo Nery dos Santos, Marco A. S. Netto, Emilio Vital Brazil, Renato Cerqueira, Patrick Valduriez:
Efficient Runtime Capture of Multiworkflow Data Using Provenance. eScience 2019: 359-368 - [c141]Débora B. Pina, Liliane Neves, Aline Paes, Daniel de Oliveira, Marta Mattoso:
Análise de Hiperparâmetros em Aplicações de Aprendizado Profundo por meio de Dados de Proveniência. SBBD 2019: 223-228 - [c140]Renan Souza, Patrick Valduriez, Marta Mattoso, Renato Cerqueira, Marco Aurélio Stelmar Netto, Leonardo Azevedo, Vítor Lourenço, Elton F. de Souza Soares, Raphael Thiago, Rafael Brandão, Daniel Civitarese, Emilio Vital Brazil, Márcio Ferreira Moreno:
Provenance Data in the Machine Learning Lifecycle in Computational Science and Engineering. WORKS@SC 2019: 1-10 - [i3]Renan Souza, Vítor Silva, José J. Camata, Alvaro L. G. A. Coutinho, Patrick Valduriez, Marta Mattoso:
Keeping Track of User Steering Actions in Dynamic Workflows. CoRR abs/1905.07167 (2019) - [i2]Renan Souza, Leonardo Azevedo, Vítor Lourenço, Elton F. de Souza Soares, Raphael Thiago, Rafael Brandão, Daniel Civitarese, Emilio Vital Brazil, Márcio Ferreira Moreno, Patrick Valduriez, Marta Mattoso, Renato Cerqueira, Marco A. S. Netto:
Provenance Data in the Machine Learning Lifecycle in Computational Science and Engineering. CoRR abs/1910.04223 (2019) - 2018
- [j52]José J. Camata, Vítor Silva, Patrick Valduriez, Marta Mattoso, Alvaro L. G. A. Coutinho:
In situ visualization and data analysis for turbidity currents simulation. Comput. Geosci. 110: 23-31 (2018) - [j51]Thaylon Guedes, Vítor Silva, José J. Camata, Marcos V. N. Bedo, Marta Mattoso, Daniel C. M. de Oliveira:
Towards an Empirical Evaluation of Scientific Data Indexing and Querying. J. Inf. Data Manag. 9(1): 84-93 (2018) - [j50]Vítor Silva, Daniel de Oliveira, Marta Mattoso, Patrick Valduriez:
DfAnalyzer: Runtime Dataflow Analysis of Scientific Applications using Provenance. Proc. VLDB Endow. 11(12): 2082-2085 (2018) - [c139]Renan Souza, Marta Mattoso:
Provenance of Dynamic Adaptations in User-Steered Dataflows. IPAW 2018: 16-29 - [c138]Vítor Silva, Renan Souza, José J. Camata, Daniel de Oliveira, Patrick Valduriez, Alvaro L. G. A. Coutinho, Marta Mattoso:
Capturing Provenance for Runtime Data Analysis in Computational Science and Engineering Applications. IPAW 2018: 183-187 - [c137]Thaylon Guedes, Vítor Silva, Marcos V. N. Bedo, Marta Mattoso, Daniel de Oliveira:
Análise Online de Dados de Proveniência e de Domínio de Aplicações Spark com SAMbA. SBBD Companion 2018: 17-22 - [c136]Patrick Valduriez, Marta Mattoso, Reza Akbarinia, Heraldo Borges, José J. Camata, Alvaro L. G. A. Coutinho, Daniel Gaspar, Noel Moreno Lemus, Ji Liu, Hermano Lustosa, Florent Masseglia, Fabrício Nogueira da Silva, Vítor Silva, Renan Souza, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Daniel de Oliveira, Esther Pacitti, Fábio Porto, Dennis E. Shasha:
Scientific Data Analysis Using Data-Intensive Scalable Computing: The SciDISC Project. LADaS@VLDB 2018: 1-8 - [c135]Renan Souza, Liliane Neves, Leonardo Azevedo, Ricardo Luiz, Elaine Tady, Paulo R. Cavalin, Marta Mattoso:
Towards a Human-in-the-Loop Library for Tracking Hyperparameter Tuning in Deep Learning Development. LADaS@VLDB 2018: 84-87 - [r5]David Koop, Marta Mattoso, Juliana Freire:
Provenance in Workflows. Encyclopedia of Database Systems (2nd ed.) 2018 - [r4]Marta Mattoso:
Database Clusters. Encyclopedia of Database Systems (2nd ed.) 2018 - [r3]Marta Mattoso:
Virtual Partitioning. Encyclopedia of Database Systems (2nd ed.) 2018 - [i1]Maria Luiza Mondelli, Thiago Magalhães, Guilherme Loss, Michael Wilde, Ian T. Foster, Marta Mattoso, Daniel S. Katz, Helio J. C. Barbosa, Ana Tereza Ribeiro de Vasconcelos, Kary A. C. S. Ocaña, Luiz M. R. Gadelha Jr.:
BioWorkbench: A High-Performance Framework for Managing and Analyzing Bioinformatics Experiments. CoRR abs/1801.03915 (2018) - 2017
- [j49]Anderson Marinho, Daniel de Oliveira, Eduardo S. Ogasawara, Vítor Silva, Kary A. C. S. Ocaña, Leonardo Murta, Vanessa Braganholo, Marta Mattoso:
Deriving scientific workflows from algebraic experiment lines: A practical approach. Future Gener. Comput. Syst. 68: 111-127 (2017) - [j48]Vítor Silva, José Leite, José J. Camata, Daniel de Oliveira, Alvaro L. G. A. Coutinho, Patrick Valduriez, Marta Mattoso:
Raw data queries during data-intensive parallel workflow execution. Future Gener. Comput. Syst. 75: 402-422 (2017) - [j47]Ji Liu, Esther Pacitti, Patrick Valduriez, Marta Mattoso:
Scientific Workflow Scheduling with Provenance Data in a Multisite Cloud. Trans. Large Scale Data Knowl. Centered Syst. 33: 80-112 (2017) - [c134]Thaylon Guedes, Vítor Silva, José J. Camata, Marta Mattoso, Daniel de Oliveira:
Análise de Dados Científicos: uma Análise Comparativa de Dados de Simulações Computacionais. SBBD (Short Papers) 2017: 222-227 - [c133]Renan Souza, Vítor Silva, Pedro Miranda, Alexandre A. B. Lima, Patrick Valduriez, Marta Mattoso:
Spark Scalability Analysis in a Scientific Workflow. SBBD (Short Papers) 2017: 288-293 - [p2]Ary Henrique M. de Oliveira, Daniel de Oliveira, Marta Mattoso:
Clouds and Reproducibility: A Way to Go to Scientific Experiments? Cloud Computing, 2nd Ed. 2017: 127-151 - 2016
- [j46]Vítor Silva, Daniel de Oliveira, Patrick Valduriez, Marta Mattoso:
Analyzing related raw data files through dataflows. Concurr. Comput. Pract. Exp. 28(8): 2528-2545 (2016) - [j45]Ji Liu, Esther Pacitti, Patrick Valduriez, Daniel de Oliveira, Marta Mattoso:
Multi-objective scheduling of Scientific Workflows in multisite clouds. Future Gener. Comput. Syst. 63: 76-95 (2016) - [c132]Luis Pineda-Morales, Ji Liu, Alexandru Costan, Esther Pacitti, Gabriel Antoniu, Patrick Valduriez, Marta Mattoso:
Managing hot metadata for scientific workflows on multisite clouds. IEEE BigData 2016: 390-397 - [c131]Rafael Mayo-García, José J. Camata, José M. Cela, Danilo Costa, Alvaro L. G. A. Coutinho, Daniel Fernández-Galisteo, Carmen Jiménez, Vadim Kourdioumov, Marta Mattoso, Thomas Miras, José A. Moríñigo, Jorge Navarro, Philippe O. A. Navaux, Daniel de Oliveira, Manuel Aurelio Rodriguez Pascual, Vítor Silva, Renan Souza, Patrick Valduriez:
Enhancing Energy Production with Exascale HPC Methods. CARLA 2016: 233-246 - [c130]Renan Souza, Vítor Silva, Alvaro L. G. A. Coutinho, Patrick Valduriez, Marta Mattoso:
Online Input Data Reduction in Scientific Workflows. WORKS@SC 2016: 44-53 - [c129]Vítor Silva, Leonardo Neves, Renan Souza, Alvaro L. G. A. Coutinho, Daniel de Oliveira, Marta Mattoso:
Integrating Domain-Data Steering with Code-Profiling Tools to Debug Data-Intensive Workflows. WORKS@SC 2016: 59-63 - [c128]Ji Liu, Esther Pacitti, Patrick Valduriez, Marta Mattoso:
Scientific Workflow Scheduling with Provenance Support in Multisite Cloud. VECPAR 2016: 206-219 - [e3]Marta Mattoso, Boris Glavic:
Provenance and Annotation of Data and Processes - 6th International Provenance and Annotation Workshop, IPAW 2016, McLean, VA, USA, June 7-8, 2016, Proceedings. Lecture Notes in Computer Science 9672, Springer 2016, ISBN 978-3-319-40592-6 [contents] - 2015
- [j44]Pedro Milet Meirelles, Luiz M. R. Gadelha Jr., Ronaldo Bastos Francini-Filho, Rodrigo Leão de Moura, Gilberto Menezes Amado-Filho, Alex Cardoso Bastos, Rodolfo Pinheiro da Rocha Paranhos, Carlos Eduardo Rezende, Jean Swings, Eduardo Siegle, Nils Edvin Asp Neto, Sigrid Neumann Leitão, Ricardo Coutinho, Marta Mattoso, Paulo S. Salomon, Rogério A. B. Valle, Renato Crespo Pereira, Ricardo Henrique Kruger, Cristiane Thompson, Fabiano L. Thompson:
BaMBa: towards the integrated management of Brazilian marine environmental data. Database J. Biol. Databases Curation 2015 (2015) - [j43]Marta Mattoso, Jonas Dias, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Flavio Costa, Felipe Horta, Vítor Silva, Daniel de Oliveira:
Dynamic steering of HPC scientific workflows: A survey. Future Gener. Comput. Syst. 46: 100-113 (2015) - [j42]Jonas Dias, Gabriel Guerra, Fernando Rochinha, Alvaro L. G. A. Coutinho, Patrick Valduriez, Marta Mattoso:
Data-centric iteration in dynamic workflows. Future Gener. Comput. Syst. 46: 114-126 (2015) - [j41]Ji Liu, Esther Pacitti, Patrick Valduriez, Marta Mattoso:
A Survey of Data-Intensive Scientific Workflow Management. J. Grid Comput. 13(4): 457-493 (2015) - [j40]Frederico Tosta, Vanessa Braganholo, Leonardo Murta, Marta Mattoso:
Improving workflow design by mining reusable tasks. J. Braz. Comput. Soc. 21(1): 16:1-16:16 (2015) - [c127]Kary A. C. S. Ocaña, Vítor Silva, Daniel de Oliveira, Marta Mattoso:
Data Analytics in Bioinformatics: Data Science in Practice for Genomics Analysis Workflows. e-Science 2015: 322-331 - [c126]Rachel Castro, Renan Souza, Vítor Silva, Kary A. C. S. Ocaña, Daniel de Oliveira, Marta Mattoso:
Uma Abordagem para Publicação de Dados de Proveniência de Workflows Científicos na Web Semântica. SBBD (Short Papers) 2015: 111-116 - [c125]Daniel de Oliveira, Vítor Silva, Marta Mattoso:
How Much Domain Data Should Be in Provenance Databases? TaPP 2015 - 2014
- [j39]Daniele El-Jaick, Marta Mattoso, Alexandre A. B. Lima:
SGProv: Summarization Mechanism for Multiple Provenance Graphs. J. Inf. Data Manag. 5(1): 16-27 (2014) - [j38]Vanessa Braganholo, Marta Mattoso:
A Survey on XML Fragmentation. SIGMOD Rec. 43(3): 24-35 (2014) - [c124]Flavio Costa, Daniel de Oliveira, Marta Mattoso:
Towards an Adaptive and Distributed Architecture for Managing Workflow Provenance Data. eScience Workshops 2014: 79-82 - [c123]Ji Liu, Vítor Silva, Esther Pacitti, Patrick Valduriez, Marta Mattoso:
Scientific Workflow Partitioning in Multisite Cloud. Euro-Par Workshops (1) 2014: 105-116 - [c122]Kary A. C. S. Ocaña, Daniel de Oliveira, Vítor Silva, Silvia Benza, Marta Mattoso:
Exploiting the Parallel Execution of Homology Workflow Alternatives in HPC Compute Clouds. ICSOC Workshops 2014: 336-350 - [c121]Luiz M. R. Gadelha Jr., Marta Mattoso:
Applying Provenance to Protect Attribution in Distributed Computational Scientific Experiments. IPAW 2014: 139-151 - [c120]Flavio Costa, Vítor Silva, Daniel de Oliveira, Kary A. C. S. Ocaña, Marta Mattoso:
Towards Supporting Provenance Gathering and Querying in Different Database Approaches. IPAW 2014: 254-257 - [c119]Kary A. C. S. Ocaña, Silvia Benza, Daniel de Oliveira, Jonas Dias, Marta Mattoso:
Exploring Large Scale Receptor-Ligand Pairs in Molecular Docking Workflows in HPC Clouds. IPDPS Workshops 2014: 536-545 - [c118]Vítor Silva, Daniel de Oliveira, Marta Mattoso:
Exploratory Analysis of Raw Data Files through Dataflows. SBAC-PAD (Workshops) 2014: 114-119 - [c117]Daniel de Oliveira, Flavio Costa, Vítor Silva, Kary A. C. S. Ocaña, Marta Mattoso:
Debugging Scientific Workflows with Provenance: Achievements and Lessons Learned. SBBD 2014: 67-76 - 2013
- [j37]Eduardo S. Ogasawara, Jonas Dias, Vítor Silva, Fernando Seabra Chirigati, Daniel de Oliveira, Fábio Porto, Patrick Valduriez, Marta Mattoso:
Chiron: a parallel engine for algebraic scientific workflows. Concurr. Comput. Pract. Exp. 25(16): 2327-2341 (2013) - [j36]Daniel de Oliveira, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Jonas Dias, João Carlos de A. R. Gonçalves, Fernanda Araújo Baião, Marta Mattoso:
Performance evaluation of parallel strategies in public clouds: A study with phylogenomic workflows. Future Gener. Comput. Syst. 29(7): 1816-1825 (2013) - [j35]Kary A. C. S. Ocaña, Daniel de Oliveira, Jonas Dias, Eduardo S. Ogasawara, Marta Mattoso:
Designing a parallel cloud based comparative genomics workflow to improve phylogenetic analyses. Future Gener. Comput. Syst. 29(8): 2205-2219 (2013) - [j34]João Carlos de A. R. Gonçalves, Daniel de Oliveira, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Jonas Dias, Marta Mattoso:
Performance Analysis of Data Filtering in Scientific Workflows. J. Inf. Data Manag. 4(1): 17-26 (2013) - [j33]Tatiane Lima da Silva, Fernanda Araújo Baião, Jonice de Oliveira Sampaio, Marta Mattoso, Vanessa Braganholo:
Towards Recommendations for Horizontal XML Fragmentation. J. Inf. Data Manag. 4(1): 27-36 (2013) - [c116]Jonas Dias, Eduardo S. Ogasawara, Daniel de Oliveira, Fábio Porto, Patrick Valduriez, Marta Mattoso:
Algebraic dataflows for big data analysis. IEEE BigData 2013: 150-155 - [c115]Luiz Augusto Matos da Silva, Luiz Laerte N. da Silva Jr., Marta Mattoso, Vanessa Braganholo:
On the performance of the position() XPath function. ACM Symposium on Document Engineering 2013: 229-230 - [c114]Flavio Costa, Vítor Silva, Daniel de Oliveira, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Jonas Dias, Marta Mattoso:
Capturing and querying workflow runtime provenance with PROV: a practical approach. EDBT/ICDT Workshops 2013: 282-289 - [c113]Luiz M. R. Gadelha Jr., Michael Wilde, Marta Mattoso, Ian T. Foster:
Provenance traces of the swift parallel scripting system. EDBT/ICDT Workshops 2013: 325-326 - [c112]Felipe Horta, Vítor Silva, Flavio Costa, Daniel de Oliveira, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Jonas Dias, Marta Mattoso:
Provenance traces from Chiron parallel workflow engine. EDBT/ICDT Workshops 2013: 337-338 - [c111]Daniel de Oliveira, Vitor Viana, Eduardo S. Ogasawara, Kary A. C. S. Ocaña, Marta Mattoso:
Dimensioning the virtual cluster for parallel scientific workflows in clouds. ScienceCloud@HPDC 2013: 5-12 - [c110]Julliano Trindade Pintas, Daniel de Oliveira, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Marta Mattoso:
SciLightning: A Cloud Provenance-Based Event Notification for Parallel Workflows. ICSOC Workshops 2013: 352-365 - [c109]Daniele El-Jaick, Marta Mattoso, Alexandre A. B. Lima:
SGProv: Mecanismo de Sumarização para Múltiplos Grafos de Proveniência. SBBD (Short Papers) 2013: 17:1-17:6 - [c108]Edimar Santos, Vanessa Assis, Flavio Costa, Daniel de Oliveira, Marta Mattoso:
Distribuição de Bases de Dados de Proveniência na Nuvem. SBBD (Short Papers) 2013: 29:1-29:6 - [c107]Marta Mattoso, Kary A. C. S. Ocaña, Felipe Horta, Jonas Dias, Eduardo S. Ogasawara, Vítor Silva, Daniel de Oliveira, Flavio Costa, Igor Araújo:
User-steering of HPC workflows: state-of-the-art and future directions. SWEET@SIGMOD 2013: 4:1-4:6 - [c106]Igor Dos Santos, Jonas Dias, Daniel de Oliveira, Eduardo S. Ogasawara, Kary A. C. S. Ocaña, Marta Mattoso:
Runtime Dynamic Structural Changes of Scientific Workflows in Clouds. UCC 2013: 417-422 - 2012
- [j32]Anderson Marinho, Leonardo Murta, Cláudia M. L. Werner, Vanessa Braganholo, Sérgio Manuel Serra da Cruz, Eduardo S. Ogasawara, Marta Mattoso:
ProvManager: a provenance management system for scientific workflows. Concurr. Comput. Pract. Exp. 24(13): 1513-1530 (2012) - [j31]Daniel de Oliveira, Eduardo S. Ogasawara, Kary A. C. S. Ocaña, Fernanda Araújo Baião, Marta Mattoso:
An adaptive parallel execution strategy for cloud-based scientific workflows. Concurr. Comput. Pract. Exp. 24(13): 1531-1550 (2012) - [j30]Luiz M. R. Gadelha Jr., Michael Wilde, Marta Mattoso, Ian T. Foster:
MTCProv: a practical provenance query framework for many-task scientific computing. Distributed Parallel Databases 30(5-6): 351-370 (2012) - [j29]Daniel de Oliveira, Kary A. C. S. Ocaña, Fernanda Araújo Baião, Marta Mattoso:
A Provenance-based Adaptive Scheduling Heuristic for Parallel Scientific Workflows in Clouds. J. Grid Comput. 10(3): 521-552 (2012) - [j28]Vanessa Braganholo, Bernardo Miranda, Marta Mattoso:
Open Source Web Portals. Int. J. Open Source Softw. Process. 4(4): 16-32 (2012) - [j27]Daniel de Oliveira, Eduardo S. Ogasawara, Jonas Dias, Fernanda Araújo Baião, Marta Mattoso:
Ontology-based Semi-automatic Workflow Composition. J. Inf. Data Manag. 3(1): 61-72 (2012) - [c105]Kary A. C. S. Ocaña, Daniel de Oliveira, Jonas Dias, Eduardo S. Ogasawara, Marta Mattoso:
Discovering drug targets for neglected diseases using a pharmacophylogenomic cloud workflow. eScience 2012: 1-8 - [c104]João Carlos de A. R. Gonçalves, Daniel de Oliveira, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Marta Mattoso:
Using Domain-Specific Data to Enhance Scientific Workflow Steering Queries. IPAW 2012: 152-167 - [c103]