Dr. María Arsuaga-Ríos
TitleCited byYear
Multi-Objective Artificial Bee Colony for scheduling in Grid environments
M Arsuaga-Rios, MA Vega-Rodriguez, F Prieto-Castrillo
Swarm Intelligence (SIS), 2011 IEEE Symposium on, 1-7, 2011
242011
Multi-objective energy optimization in grid systems from a brain storming strategy
M Arsuaga-Ríos, MA Vega-Rodríguez
Soft Computing 19 (11), 3159-3172, 2015
142015
Meta-schedulers for grid computing based on multi-objective swarm algorithms
MA Arsuaga-RíOs, MA Vega-RodríGuez, F Prieto-Castrillo
Applied Soft Computing 13 (4), 1567-1582, 2013
142013
Multi-objective firefly algorithm for energy optimization in grid environments
M Arsuaga-Ríos, MA Vega-Rodríguez
International Conference on Swarm Intelligence, 350-351, 2012
142012
Cost optimization based on brain storming for grid scheduling
M Arsuaga-Ríos, MA Vega-Rodríguez
Fourth edition of the International Conference on the Innovative Computing …, 2014
62014
Multiobjective optimization comparison-moswo vs mogsa-for solving the job scheduling problem in grid environments
M Arsuaga-Rios, F Prieto-Castrillo, MA Vega-Rodriguez
2012 IEEE 10th International Symposium on Parallel and Distributed …, 2012
62012
A multi-objective proposal based on firefly behaviour for green scheduling in grid systems
M Arsuaga-Ríos, MA Vega-Rodríguez
International Conference on Adaptive and Natural Computing Algorithms, 70-79, 2013
52013
Evaluation of multiobjective swarm algorithms for grid scheduling
M Arsuaga-Ríos, MA Vega-Rodríguez, F Prieto-Castrillo
2011 11th International Conference on Intelligent Systems Design and …, 2011
52011
Energy optimization for task scheduling in distributed systems by an Artificial Bee Colony approach
M Arsuaga-Ríos, MA Vega-Rodríguez
2014 Sixth World Congress on Nature and Biologically Inspired Computing …, 2014
42014
Small-World optimization applied to job scheduling on grid environments from a multi-objective perspective
M Arsuaga-Ríos, F Prieto-Castrillo, MA Vega-Rodríguez
European Conference on the Applications of Evolutionary Computation, 42-51, 2012
42012
Using S3 cloud storage with ROOT and CvmFS
M Arsuaga-Ríos, SS Heikkilä, D Duellmann, R Meusel, J Blomer, ...
Journal of Physics: Conference Series 664 (2), 022001, 2015
32015
Multiobjective small-world optimization for energy saving in grid environments
M Arsuaga-Ríos, MA Vega-Rodríguez
The Computer Journal 58 (3), 432-447, 2014
32014
Swarm approach based on gravity for optimizing energy savings in grid systems
M Arsuaga-Ríos, MA Vega-Rodríguez
Journal of Heuristics 20 (6), 617-641, 2014
22014
Evaluation of multi-source downloads for FTS
A Grigorean, M Carabas, N Tapus, M Dulea, M Arsuaga-Rios
2017 16th RoEduNet Conference: Networking in Education and Research …, 2017
2017
IOP: Making the most of cloud storage-a toolkit for exploitation by WLCG experiments
AA Ayllon, G Bitzes, O Keeble, M Arsuaga Rios, A Manzi, F Furano
J. Phys.: Conf. Ser. 898, 062027, 2017
2017
Optimización multiobjetivo para la planificación de trabajos en entornos de computación distribuida
M Arsuaga Ríos
2015
Development of Monitoring and Analysis Tools for the Huawei Cloud Storage
V Bahaa, M Arsuaga-Rios, SS Heikkila
2014
Multiobjective Optimization for Job Scheduling in Distributed Computing Environments.
M Arsuaga-Ríos, FDMA Vega-Rodríguez
2014
Multi-objective Grid Scheduling
M Arsuaga-Ríos, MA Vega-Rodríguez
Automated Scheduling and Planning, 225-249, 2013
2013
Application workflow deployments on computing grids with a complex network topology F. Prieto-Castrillo1, A. Astillero2, E. Rey-Espada1
M Boton-Fernández, M Arsuaga-Rios
Int. J. Complex Systems in Science 1 (2), 89-95, 2011
2011
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Articles 1–20