| 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 | 131 | 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 | 46 | 2015 |
| 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 | 35 | 2016 |
| 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 | 33 | 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 | 29 | 2021 |
| Data augmentation through multivariate scenario forecasting in Data Centers using Generative Adversarial Networks J Pérez, P Arroba, JM Moya Applied Intelligence 53 (2), 1469-1486, 2023 | 26 | 2023 |
| 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 | 23 | 2015 |
| 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 | 23 | 2011 |
| 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 | 21 | 2017 |
| 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 | 19 | 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 | 18 | 2018 |
| 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 | 18 | 2014 |
| Modeling and simulation of smart grid-aware edge computing federations R Cárdenas, P Arroba, JL Risco-Martín, JM Moya Cluster Computing 26 (1), 719-743, 2023 | 14 | 2023 |
| 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 | 12 | 2019 |
| Thermal prediction for immersion cooling data centers based on recurrent neural networks J Pérez, S Pérez, JM Moya, P Arroba International Conference on Intelligent Data Engineering and Automated …, 2018 | 12 | 2018 |
| Energy‐efficiency and sustainability in new generation cloud computing: A vision and directions for integrated management of data centre resources and workloads R Buyya, S Ilager, P Arroba Software: Practice and Experience 54 (1), 24-38, 2024 | 11 | 2024 |
| xDEVS: A toolkit for interoperable modeling and simulation of formal discrete event systems JL Risco‐Martín, S Mittal, K Henares, R Cardenas, P Arroba Software: Practice and Experience 53 (3), 748-789, 2023 | 11 | 2023 |
| Proactive power and thermal aware optimizations for energy-efficient cloud computing PA Garcia Universidad Politécnica de Madrid, 2017 | 10 | 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 | 10 | 2015 |
| 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 | 9 | 2022 |
Jose M. MoyaAssociate Professor, Universidad Politecnica de MadridBestätigte E-Mail-Adresse bei upm.es
