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ORCIDPatrick Valduriez
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- affiliation: INRIA, France
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2020 – today
- 2024
[j116]Rocío Zorrilla
, Eduardo S. Ogasawara, Patrick Valduriez, Fábio Porto:
A Data-Driven Model Selection Approach to Spatio-Temporal Prediction. Trans. Large Scale Data Knowl. Centered Syst.: 98-118 (2024)- [c211]Raphael de Freitas Saldanha, Víctor Ribeiro, Eduardo H. M. Pena, Marcel Pedroso, Reza Akbarinia, Patrick Valduriez, Fábio Porto:
Subset Models for Multivariate Time Series Forecast. ICDEW 2024: 86-90 - [c210]Ji Liu, Tianshi Che, Yang Zhou, Ruoming Jin, Huaiyu Dai, Dejing Dou, Patrick Valduriez:
AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices. SDM 2024: 833-841 - 2023
- [j115]Ji Liu, Daxiang Dong, Xi Wang, An Qin, Xingjian Li, Patrick Valduriez, Dejing Dou, Dianhai Yu:
Large-scale knowledge distillation with elastic heterogeneous computing resources. Concurr. Comput. Pract. Exp. 35(26) (2023) - [j114]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) - [c209]Daniel Rosendo, Kate Keahey, Alexandru Costan, Matthieu Simonin, Patrick Valduriez, Gabriel Antoniu:
KheOps: Cost-effective Repeatability, Reproducibility, and Replicability of Edge-to-Cloud Experiments. ACM-REP 2023: 62-73 - [c208]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 - [c207]Vítor Ribeiro, Eduardo H. M. Pena, Raphael de Freitas Saldanha, Reza Akbarinia, Patrick Valduriez, Falaah Arif Khan, Julia Stoyanovich, Fábio Porto:
Subset Modelling: A Domain Partitioning Strategy for Data-efficient Machine-Learning. SBBD 2023: 318-323 - [i21]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) - [i20]Daniel Rosendo, Kate Keahey, Alexandru Costan, Matthieu Simonin, Patrick Valduriez, Gabriel Antoniu:
KheOps: Cost-effective Repeatability, Reproducibility, and Replicability of Edge-to-Cloud Experiments. CoRR abs/2307.12796 (2023) - [i19]Ji Liu, Tianshi Che, Yang Zhou, Ruoming Jin, Huaiyu Dai, Dejing Dou, Patrick Valduriez:
AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices. CoRR abs/2312.10935 (2023) - 2022
- [j113]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) - [j112]Ricardo Jiménez-Peris, Diego Burgos-Sancho, Francisco J. Ballesteros, Marta Patiño-Martínez, Patrick Valduriez:
Elastic scalable transaction processing in LeanXcale. Inf. Syst. 108: 102043 (2022) - [j111]Daniel Rosendo, Alexandru Costan, Patrick Valduriez, Gabriel Antoniu:
Distributed intelligence on the Edge-to-Cloud Continuum: A systematic literature review. J. Parallel Distributed Comput. 166: 71-94 (2022) - [j110]Ji Liu, Carlyna Bondiombouy, Lei Mo, Patrick Valduriez:
Two-Phase Scheduling for Efficient Vehicle Sharing. IEEE Trans. Intell. Transp. Syst. 23(1): 457-470 (2022) - [c206]Rocío Zorrilla, Eduardo S. Ogasawara, Patrick Valduriez, Fábio Porto:
A Data-Driven Model Selection Approach to Spatio-Temporal Prediction. SBBD 2022: 1-12 - [i18]Daniel Rosendo, Alexandru Costan, Patrick Valduriez, Gabriel Antoniu:
Distributed intelligence on the Edge-to-Cloud Continuum: A systematic literature review. CoRR abs/2205.01081 (2022) - [i17]Ji Liu, Daxiang Dong, Xi Wang, An Qin, Xingjian Li, Patrick Valduriez, Dejing Dou, Dianhai Yu:
Large-scale Knowledge Distillation with Elastic Heterogeneous Computing Resources. CoRR abs/2207.06667 (2022) - 2021
- [j109]Pavlos Kranas, Boyan Kolev, Oleksandra Levchenko, Esther Pacitti, Patrick Valduriez, Ricardo Jiménez-Peris, Marta Patiño-Martínez:
Parallel query processing in a polystore. Distributed Parallel Databases 39(4): 939-977 (2021) - [j108]Gaëtan Heidsieck, Daniel de Oliveira, Esther Pacitti, Christophe Pradal, François Tardieu, Patrick Valduriez:
Cache-aware scheduling of scientific workflows in a multisite cloud. Future Gener. Comput. Syst. 122: 172-186 (2021) - [j107]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) - [j106]Oleksandra Levchenko, Boyan Kolev, Djamel Edine Yagoubi, Reza Akbarinia, Florent Masseglia, Themis Palpanas, Dennis E. Shasha, Patrick Valduriez:
BestNeighbor: efficient evaluation of kNN queries on large time series databases. Knowl. Inf. Syst. 63(2): 349-378 (2021) - [j105]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) - [j104]Patrick Valduriez:
Making the Right Move to Senior Researcher: Some Challenges and Hints. SIGMOD Rec. 50(2): 30-32 (2021) - [j103]Patrick Valduriez, Ricardo Jiménez-Peris, M. Tamer Özsu:
Distributed Database Systems: The Case for NewSQL. Trans. Large Scale Data Knowl. Centered Syst. 48: 1-15 (2021) - [c205]Daniel Rosendo, Alexandru Costan, Gabriel Antoniu, Matthieu Simonin, Jean-Christophe Lombardo, Alexis Joly, Patrick Valduriez:
Reproducible Performance Optimization of Complex Applications on the Edge-to-Cloud Continuum. CLUSTER 2021: 23-34 - [c204]Daxiang Dong, Ji Liu, Xi Wang, Weibao Gong, An Qin, Xingjian Li, Dianhai Yu, Patrick Valduriez, Dejing Dou:
Elastic Deep Learning Using Knowledge Distillation with Heterogeneous Computing Resources. Euro-Par Workshops 2021: 116-128 - [c203]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 - [i16]Rafael S. Pereira, Alexis Joly, Patrick Valduriez, Fábio Porto:
Hyperspherical embedding for novel class classification. CoRR abs/2102.03243 (2021) - [i15]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) - [i14]Daniel Rosendo, Alexandru Costan, Gabriel Antoniu, Matthieu Simonin, Jean-Christophe Lombardo, Alexis Joly, Patrick Valduriez:
Reproducible Performance Optimization of Complex Applications on the Edge-to-Cloud Continuum. CoRR abs/2108.04033 (2021) - [i13]Daniel Rosendo, Alexandru Costan, Gabriel Antoniu, Patrick Valduriez:
Enabling Reproducible Analysis of Complex Workflows on the Edge-to-Cloud Continuum. CoRR abs/2109.01379 (2021) - 2020
- [b7]M. Tamer Özsu, Patrick Valduriez:
Principles of Distributed Database Systems, 4th Edition. Springer 2020, ISBN 978-3-030-26252-5, pp. 1-674 - [j102]Noel Moreno Lemus, Fábio Porto, Yania Molina Souto, Rafael S. Pereira, Ji Liu, Esther Pacciti, Patrick Valduriez:
SUQ2: Uncertainty Quantification Queries over Large Spatio-temporal Simulations. IEEE Data Eng. Bull. 43(1): 47-59 (2020) - [j101]Ji Liu, Noel Moreno Lemus, Esther Pacitti, Fábio Porto, Patrick Valduriez:
Parallel computation of PDFs on big spatial data using Spark. Distributed Parallel Databases 38(1): 63-100 (2020) - [j100]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) - [j99]Anderson Chaves da Silva, Hermano Lourenço Souza Lustosa, Daniel Nascimento Ramos da Silva, Fábio André Machado Porto, Patrick Valduriez:
SAVIME: An Array DBMS for Simulation Analysis and ML Models Prediction. J. Inf. Data Manag. 11(3) (2020) - [j98]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) - [j97]Gaëtan Heidsieck, Daniel de Oliveira, Esther Pacitti, Christophe Pradal, François Tardieu, Patrick Valduriez:
Efficient Execution of Scientific Workflows in the Cloud Through Adaptive Caching. Trans. Large Scale Data Knowl. Centered Syst. 44: 41-66 (2020) - [c202]Gaëtan Heidsieck, Daniel de Oliveira, Esther Pacitti, Christophe Pradal, François Tardieu, Patrick Valduriez:
Distributed Caching of Scientific Workflows in Multisite Cloud. DEXA (2) 2020: 51-65 - [c201]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 - [i12]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
- [j96]Christophe Pradal, Sarah Cohen-Boulakia, Patrick Valduriez, Dennis E. Shasha, Konrad Hinsen, Matthew A. Turk:
VersionClimber: Version Upgrades Without Tears. Comput. Sci. Eng. 21(5): 87-93 (2019) - [j95]Kwangjin Park, Alexis Joly, Patrick Valduriez:
DZI: An air index for spatial queries in one-dimensional channels. Data Knowl. Eng. 124 (2019) - [j94]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) - [j93]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) - [j92]Sakina Mahboubi, Reza Akbarinia, Patrick Valduriez:
Privacy-Preserving Top-k Query Processing in Distributed Systems. Trans. Large Scale Data Knowl. Centered Syst. 42: 1-24 (2019) - [c200]Boyan Kolev, Reza Akbarinia, Ricardo Jiménez-Peris, Oleksandra Levchenko, Florent Masseglia, Marta Patiño, Patrick Valduriez:
Parallel Streaming Implementation of Online Time Series Correlation Discovery on Sliding Windows with Regression Capabilities. CLOSER 2019: 681-687 - [c199]Boyan Kolev, Reza Akbarinia, Ricardo Jiménez-Peris, Oleksandra Levchenko, Florent Masseglia, Marta Patiño, Patrick Valduriez:
Pipelined Implementation of a Parallel Streaming Method for Time Series Correlation Discovery on Sliding Windows. DATA 2019: 431-436 - [c198]Gaëtan Heidsieck, Daniel de Oliveira, Esther Pacitti, Christophe Pradal, François Tardieu, Patrick Valduriez:
Adaptive Caching for Data-Intensive Scientific Workflows in the Cloud. DEXA (2) 2019: 452-466 - [c197]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 - [c196]Oleksandra Levchenko, Boyan Kolev, Djamel Edine Yagoubi, Dennis E. Shasha, Themis Palpanas, Patrick Valduriez, Reza Akbarinia, Florent Masseglia:
Distributed Algorithms to Find Similar Time Series. ECML/PKDD (3) 2019: 781-785 - [c195]Hermano Lustosa, Fábio Porto, Patrick Valduriez:
SAVIME: A Database Management System for Simulation Data Analysis and Visualization. SBBD 2019: 85-96 - [c194]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 - [i11]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) - [i10]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
- [j91]Djamel Edine Yagoubi, Reza Akbarinia, Boyan Kolev, Oleksandra Levchenko, Florent Masseglia, Patrick Valduriez, Dennis E. Shasha:
ParCorr: efficient parallel methods to identify similar time series pairs across sliding windows. Data Min. Knowl. Discov. 32(5): 1481-1507 (2018) - [j90]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) - [j89]Ji Liu, Esther Pacitti, Patrick Valduriez:
A survey of scheduling frameworks in big data systems. Int. J. Cloud Comput. 7(2): 103-128 (2018) - [j88]Ladjel Bellatreche, Patrick Valduriez, Tadeusz Morzy:
Advances in Databases and Information Systems. Inf. Syst. Frontiers 20(1): 1-6 (2018) - [j87]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) - [c193]Boyan Kolev, Oleksandra Levchenko, Esther Pacitti, Patrick Valduriez, Ricardo Vilaça, Rui C. Gonçalves, Ricardo Jiménez-Peris, Pavlos Kranas:
Parallel Polyglot Query Processing on Heterogeneous Cloud Data Stores with LeanXcale. IEEE BigData 2018: 1757-1766 - [c192]Sakina Mahboubi, Reza Akbarinia, Patrick Valduriez:
Answering Top-k Queries over Outsourced Sensitive Data in the Cloud. DEXA (1) 2018: 218-231 - [c191]Sakina Mahboubi, Reza Akbarinia, Patrick Valduriez:
Privacy-Preserving Top-k Query Processing in Distributed Systems. Euro-Par 2018: 281-292 - [c190]Sakina Mahboubi, Reza Akbarinia, Patrick Valduriez:
Top-k Query Processing over Distributed Sensitive Data. IDEAS 2018: 208-216 - [c189]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 - [c188]Fábio Porto, Amir Khatibi, João N. Rittmeyer, Eduardo S. Ogasawara, Patrick Valduriez, Dennis E. Shasha:
Constellation Queries over Big Data. SBBD 2018: 85-96 - [c187]Fábio Porto, João N. Rittmeyer, Eduardo S. Ogasawara, Alberto Krone-Martins, Patrick Valduriez, Dennis E. Shasha:
Point pattern search in big data. SSDBM 2018: 21:1-21:12 - [c186]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 - [c185]Ji Liu, Noel Moreno Lemus, Esther Pacitti, Fábio Porto, Patrick Valduriez:
Computation of PDFs on Big Spatial Data: Problem & Architecture. LADaS@VLDB 2018: 80-83 - [e7]Artur Ziviani, Carmem S. Hara, Eduardo S. Ogasawara, José Antônio Fernandes de Macêdo, Patrick Valduriez:
Proceedings of the Latin America Data Science Workshop co-located with 44th International Conference on Very Large Data Bases (VLDB 2018), Rio de Janeiro, Brazil, Aug 27, 2018. CEUR Workshop Proceedings 2170, CEUR-WS.org 2018 [contents] - [r11]Patrick Valduriez:
Parallel Data Placement. Encyclopedia of Database Systems (2nd ed.) 2018 - [r10]Patrick Valduriez:
Parallel Database Management. Encyclopedia of Database Systems (2nd ed.) 2018 - [r9]Patrick Valduriez:
Shared-Disk Architecture. Encyclopedia of Database Systems (2nd ed.) 2018 - [r8]Patrick Valduriez:
Shared-Memory Architecture. Encyclopedia of Database Systems (2nd ed.) 2018 - [r7]Patrick Valduriez:
Shared-Nothing Architecture. Encyclopedia of Database Systems (2nd ed.) 2018 - [i9]Ji Liu, Noel Moreno Lemus, Esther Pacitti, Fábio Porto, Patrick Valduriez:
Parallel Computation of PDFs on Big Spatial Data Using Spark. CoRR abs/1805.03141 (2018) - [i8]Christophe Pradal, Sarah Cohen Boulakia, Gaëtan Heidsieck, Esther Pacitti, François Tardieu, Patrick Valduriez:
Distributed Management of Scientific Workflows for High-Throughput Plant Phenotyping. ERCIM News 2018(113) (2018) - 2017
- [j86]Christophe Pradal, Simon Artzet, Jérôme Chopard, Dimitri Dupuis, Christian Fournier, Michael Mielewczik, Vincent Nègre, Pascal Neveu, Didier Parigot, Patrick Valduriez, Sarah Cohen Boulakia:
InfraPhenoGrid: A scientific workflow infrastructure for plant phenomics on the Grid. Future Gener. Comput. Syst. 67: 341-353 (2017) - [j85]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) - [j84]Ladjel Bellatreche, Patrick Valduriez, Tadeusz Morzy:
Advances in Databases and Information Systems. Inf. Syst. 70: 1 (2017) - [j83]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) - [c184]Amir Khatibi, Fábio Porto, João Guilherme Nobre Rittmeyer, Eduardo S. Ogasawara, Patrick Valduriez, Dennis E. Shasha:
Pre-processing and Indexing Techniques for Constellation Queries in Big Data. DaWaK 2017: 164-172 - [c183]Hermano Lustosa, Fábio Porto, Noel Moreno Lemus, Patrick Valduriez:
TARS: An Array Model with Rich Semantics for Multidimensional Data. ER Forum/Demos 2017: 114-127 - [c182]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 - [i7]Fábio Porto, Amir Khatibi, João Guilherme Nobre Rittmeyer, Eduardo S. Ogasawara, Patrick Valduriez, Dennis E. Shasha:
Constellation Queries over Big Data. CoRR abs/1703.02638 (2017) - 2016
- [j82]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) - [j81]Boyan Kolev, Patrick Valduriez, Carlyna Bondiombouy, Ricardo Jiménez-Peris, Raquel Pau, José Pereira:
CloudMdsQL: querying heterogeneous cloud data stores with a common language. Distributed Parallel Databases 34(4): 463-503 (2016) - [j80]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) - [j79]Carlyna Bondiombouy, Patrick Valduriez:
Query processing in multistore systems: an overview. Int. J. Cloud Comput. 5(4): 309-346 (2016) - [j78]Miguel Liroz-Gistau, Reza Akbarinia, Divyakant Agrawal, Patrick Valduriez:
FP-Hadoop: Efficient processing of skewed MapReduce jobs. Inf. Syst. 60: 69-84 (2016) - [j77]Hermano Lustosa, Fábio Porto, Pablo Blanco, Patrick Valduriez:
Database System Support of Simulation Data. Proc. VLDB Endow. 9(13): 1329-1340 (2016) - [j76]Carlyna Bondiombouy, Boyan Kolev, Oleksandra Levchenko, Patrick Valduriez:
Multistore Big Data Integration with CloudMdsQL. Trans. Large Scale Data Knowl. Centered Syst. 28: 48-74 (2016) - [c181]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 - [c180]Boyan Kolev, Raquel Pau, Oleksandra Levchenko, Patrick Valduriez, Ricardo Jiménez-Peris, José Pereira:
Benchmarking polystores: The CloudMdsQL experience. IEEE BigData 2016: 2574-2579 - [c179]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 - [c178]Boyan Kolev, Carlyna Bondiombouy, Oleksandra Levchenko, Patrick Valduriez, Ricardo Jiménez-Peris, Raquel Pau, José Pereira:
Design and Implementation of the CloudMdsQL Multistore System. CLOSER (1) 2016: 352-359 - [c177]Ricardo Jimenez, Marta Patiño, Ivan Brondino, Valerio Vianello, Ricardo Vilaça, Boyan Kolev, Patrick Valduriez, Raquel Pau, Apostolos Hatzimanikatis, Vassilis Spitadakis, Dimitris Bouras, Yorgos Panagiotakis, Giorgos Saloustros, Anastasios Papagiannis, Pilar González-Férez, Angelos Bilas, Ying Zhang, Pavlos Kranas, Sotiris Stamokostas, Vrettos Moulos, Fotis Aisopos, Francois Sabary, Luis Cortesao, Diogo Domingues Regateiro, José Pereira, Rui Oliveira:
CoherentPaaS - A Coherent and Rich PaaS with a Common Programming Model. EPS 2016 - [c176]Valentin Leveau, Alexis Joly, Olivier Buisson, Patrick Valduriez:
Spatially Localized Visual Dictionary Learning. ICMR 2016: 367-370 - [c175]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 - [c174]Boyan Kolev, Carlyna Bondiombouy, Patrick Valduriez, Ricardo Jiménez-Peris, Raquel Pau, José Pereira:
The CloudMdsQL Multistore System. SIGMOD Conference 2016: 2113-2116 - [c173]Ji Liu, Esther Pacitti, Patrick Valduriez, Marta Mattoso:
Scientific Workflow Scheduling with Provenance Support in Multisite Cloud. VECPAR 2016: 206-219 - 2015
- [j75]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) - [j74]Ji Liu, Esther Pacitti, Patrick Valduriez, Marta Mattoso:
A Survey of Data-Intensive Scientific Workflow Management. J. Grid Comput. 13(4): 457-493 (2015) - [j73]Reza Akbarinia, Esther Pacitti, Patrick Valduriez:
Corrigendum to "Best position algorithms for efficient top-k query processing" [Inf. Syst 36(6) (2011) 973-989]. Inf. Syst. 52: 126-127 (2015) - [j72]Miguel Liroz-Gistau, Reza Akbarinia, Patrick Valduriez:
FP-Hadoop: Efficient Execution of Parallel Jobs Over Skewed Data. Proc. VLDB Endow. 8(12): 1856-1859 (2015) - [c172]Carlyna Bondiombouy, Boyan Kolev, Oleksandra Levchenko, Patrick Valduriez:
Integrating Big Data and Relational Data with a Functional SQL-like Query Language. DEXA (1) 2015: 170-185 - [c171]Reza Akbarinia, Miguel Liroz-Gistau, Divyakant Agrawal, Patrick Valduriez:
An Efficient Solution for Processing Skewed MapReduce Jobs. DEXA (2) 2015: 417-429 - [c170]Valentin Leveau, Alexis Joly, Olivier Buisson, Patrick Valduriez:
Kernelizing Spatially Consistent Visual Matches for Fine-Grained Classification. ICMR 2015: 155-162 - [c169]Hermano Lustosa, Fábio Porto, Ramon G. Costa, Pablo Blanco, Patrick Valduriez:
Managing Simulation Data with Multidimensional Arrays. SBBD (Short Papers) 2015: 81-86 - [c168]Christophe Pradal, Christian Fournier, Patrick Valduriez, Sarah Cohen Boulakia:
OpenAlea: scientific workflows combining data analysis and simulation. SSDBM 2015: 11:1-11:6 - [e6]Tadeusz Morzy, Patrick Valduriez, Ladjel Bellatreche:
New Trends in Databases and Information Systems - ADBIS 2015 Short Papers and Workshops, BigDap, DCSA, GID, MEBIS, OAIS, SW4CH, WISARD, Poitiers, France, September 8-11, 2015. Proceedings. Communications in Computer and Information Science 539, Springer 2015, ISBN 978-3-319-23200-3 [contents] - [e5]Tadeusz Morzy, Patrick Valduriez, Ladjel Bellatreche:
Advances in Databases and Information Systems - 19th East European Conference, ADBIS 2015, Poitiers, France, September 8-11, 2015, Proceedings. Lecture Notes in Computer Science 9282, Springer 2015, ISBN 978-3-319-23134-1 [contents] - 2014
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