Patricia Arroba
Citado por
Citado por
Dynamic voltage and frequency scaling‐aware dynamic consolidation of virtual machines for energy efficient cloud data centers
P Arroba, JM Moya, JL Ayala, R Buyya
Concurrency and Computation: Practice and Experience 29 (10), e4067, 2017
DVFS-aware consolidation for energy-efficient clouds
P Arroba, JM Moya, JL Ayala, R Buyya
2015 International Conference on Parallel Architecture and Compilation (PACT …, 2015
Server power modeling for run-time energy optimization of cloud computing facilities
P Arroba, JL Risco-Martín, M Zapater, JM Moya, JL Ayala, K Olcoz
Energy Procedia 62, 401-410, 2014
Runtime data center temperature prediction using grammatical evolution techniques
M Zapater, JL Risco-Martín, P Arroba, JL Ayala, JM Moya, R Hermida
Applied Soft Computing 49, 94-107, 2016
A methodology for developing accessible mobile platforms over leading devices for visually impaired people
P Arroba, JC Vallejo, Á Araujo, D Fraga, JM Moya
Ambient Assisted Living: Third International Workshop, IWAAL 2011, Held at …, 2011
Enhancing regression models for complex systems using evolutionary techniques for feature engineering
P Arroba, JL Risco-Martín, M Zapater, JM Moya, JL Ayala
Journal of Grid Computing 13, 409-423, 2015
Green adaptation of real-time web services for industrial CPS within a cloud environment
MT Higuera-Toledano, JL Risco-Martín, P Arroba, JL Ayala
IEEE Transactions on Industrial Informatics 13 (3), 1249-1256, 2017
A novel energy-driven computing paradigm for e-health scenarios
M Zapater, P Arroba, JL Ayala, JM Moya, K Olcoz
Future Generation Computer Systems 34, 138-154, 2014
Energy-conscious optimization of Edge Computing through Deep Reinforcement Learning and two-phase immersion cooling
S Pérez, P Arroba, JM Moya
Future Generation Computer Systems 125, 891-907, 2021
Mercury: A modeling, simulation, and optimization framework for data stream-oriented IoT applications
R Cárdenas, P Arroba, R Blanco, P Malagón, JL Risco-Martín, JM Moya
Simulation Modelling Practice and Theory 101, 102037, 2020
Heuristics and metaheuristics for dynamic management of computing and cooling energy in cloud data centers
P Arroba, JL Risco‐Martín, JM Moya, JL Ayala
Software: Practice and Experience 48 (10), 1775-1804, 2018
Thermal prediction for immersion cooling data centers based on recurrent neural networks
J Pérez, S Pérez, JM Moya, P Arroba
Intelligent Data Engineering and Automated Learning–IDEAL 2018: 19th …, 2018
Predictive GPU-based ADAS management in energy-conscious smart cities
S Pérez, J Pérez, P Arroba, R Blanco, JL Ayala, JM Moya
2019 ieee international smart cities conference (isc2), 349-354, 2019
Proactive power and thermal aware optimizations for energy-efficient cloud computing
PA Garcia
Universidad Politécnica de Madrid, 2017
A trust and reputation system for energy optimization in cloud data centers
I Aransay, M Zapater, P Arroba, JM Moya
2015 IEEE 8th International Conference on Cloud Computing, 138-145, 2015
Energy-Aware policies in ubiquitous computing facilities
M Zapater, P Arroba, JLA Rodrigo, KO Herrero, JMM Fernandez
Cloud computing with E-science applications 2015, 267-284, 2015
On the Leakage-Power modeling for optimal server operation
P Arroba, M Zapater, JL Ayala, JM Moya, K Olcoz, R Hermida
Innovative architecture for future generation high-performance processors …, 2014
A Cyber-Physical approach to combined HW-SW monitoring for improving energy efficiency in data centers
J Pagán Ortiz, M Zapater Sancho, O Cubo, P Arroba García, ...
Telecomunicacion, 2013
Bringing AI to the edge: A formal M&S specification to deploy effective IoT architectures
R Cárdenas, P Arroba, JL Risco Martin
Journal of Simulation 16 (5), 494-511, 2022
A DEVS simulation algorithm based on shared memory for enhancing performance
R Cárdenas, K Henares, P Arroba, G Wainer, JL Risco-Martín
2020 Winter Simulation Conference (WSC), 2184-2195, 2020
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