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Jorge Veiga
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- affiliation: University of A Coruna, Spain
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2020 – today
- 2020
- [c4]Roberto R. Expósito, Jorge Veiga, Juan Touriño:
Enabling Hardware Affinity in JVM-Based Applications: A Case Study for Big Data. ICCS (1) 2020: 31-44
2010 – 2019
- 2019
- [r1]Jorge Veiga, Roberto R. Expósito, Juan Touriño:
Performance Evaluation of Big Data Analysis. Encyclopedia of Big Data Technologies 2019 - 2018
- [j6]Jorge Veiga, Roberto R. Expósito, Bruno Raffin, Juan Touriño:
Optimization of Real-World MapReduce Applications With Flame-MR: Practical Use Cases. IEEE Access 6: 69750-69762 (2018) - [j5]Jorge Veiga, Jonatan Enes, Roberto R. Expósito, Juan Touriño:
BDEv 3.0: Energy efficiency and microarchitectural characterization of Big Data processing frameworks. Future Gener. Comput. Syst. 86: 565-581 (2018) - [j4]Jorge Veiga, Roberto R. Expósito, Guillermo L. Taboada, Juan Touriño:
Enhancing in-memory efficiency for MapReduce-based data processing. J. Parallel Distributed Comput. 120: 323-338 (2018) - 2017
- [j3]Roberto R. Expósito, Jorge Veiga, Jorge González-Domínguez, Juan Touriño:
MarDRe: efficient MapReduce-based removal of duplicate DNA reads in the cloud. Bioinform. 33(17): 2762-2764 (2017) - 2016
- [j2]Jorge Veiga, Roberto R. Expósito, Guillermo L. Taboada, Juan Touriño:
Analysis and evaluation of MapReduce solutions on an HPC cluster. Comput. Electr. Eng. 50: 200-216 (2016) - [j1]Jorge Veiga, Roberto R. Expósito, Guillermo L. Taboada, Juan Touriño:
Flame-MR: An event-driven architecture for MapReduce applications. Future Gener. Comput. Syst. 65: 46-56 (2016) - [c3]Jorge Veiga, Roberto R. Expósito, Xoán C. Pardo, Guillermo L. Taboada, Juan Touriño:
Performance evaluation of big data frameworks for large-scale data analytics. IEEE BigData 2016: 424-431 - 2015
- [c2]Jorge Veiga, Roberto R. Expósito, Guillermo L. Taboada, Juan Touriño:
MREv: An Automatic MapReduce Evaluation Tool for Big Data Workloads. ICCS 2015: 80-89 - 2014
- [c1]Jorge Veiga, Guillermo L. Taboada, Xoán C. Pardo, Juan Touriño:
The HPS3 Service: Reduction of Cost and Transfer Time for Storing Data on Clouds. HPCC/CSS/ICESS 2014: 213-220
Coauthor Index
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