A Methodology for Developing Accessible Mobile Platforms over Leading Devices for Visually Impaired People. - Patricia Arroba; Juan Carlos Vallejo; Álvaro Araujo; David Fraga 001; José Manuel Moya (IWAAL, 2011)

A novel energy-driven computing paradigm for e-health scenarios. - Marina Zapater; Patricia Arroba; José Luis Ayala; José Manuel Moya; Katzalin Olcoz (Future Gener. Comput. Syst., 2014)

A Trust and Reputation System for Energy Optimization in Cloud Data Centers. - Ignacio Aransay; Marina Zapater; Patricia Arroba; José Manuel Moya (CLOUD, 2015)

DVFS-Aware Consolidation for Energy-Efficient Clouds. - Patricia Arroba; José Manuel Moya; José L. Ayala; Rajkumar Buyya (PACT, 2015)

Enhancing Regression Models for Complex Systems Using Evolutionary Techniques for Feature Engineering. - Patricia Arroba; José Luis Risco-Martín; Marina Zapater; José Manuel Moya; José Luis Ayala (J. Grid Comput., 2015)

Runtime data center temperature prediction using Grammatical Evolution techniques. - Marina Zapater; José L. Risco-Martín; Patricia Arroba; José L. Ayala; José Manuel Moya; Román Hermida (Appl. Soft Comput., 2016)

Dynamic Voltage and Frequency Scaling-aware dynamic consolidation of virtual machines for energy efficient cloud data centers. - Patricia Arroba; José Manuel Moya; José L. Ayala; Rajkumar Buyya (Concurr. Comput. Pract. Exp., 2017)

Green Adaptation of Real-Time Web Services for Industrial CPS Within a Cloud Environment. - M. Teresa Higuera-Toledano; José Luis Risco-Martín; Patricia Arroba; José L. Ayala (IEEE Trans. Ind. Informatics, 2017)

Thermal Prediction for Immersion Cooling Data Centers Based on Recurrent Neural Networks. - Jaime Pérez; Sergio Pérez 002; José Manuel Moya; Patricia Arroba (IDEAL (1), 2018)

Heuristics and metaheuristics for dynamic management of computing and cooling energy in cloud data centers. - Patricia Arroba; José L. Risco-Martín; José Manuel Moya; José L. Ayala (Softw. Pract. Exp., 2018)

Predictive GPU-based ADAS Management in Energy-Conscious Smart Cities. - Sergio Pérez 002; Jaime Pérez; Patricia Arroba; Roberto Blanco; José L. Ayala; José Manuel Moya (ISC2, 2019)

Edge federation simulator for data stream analytics. - Román Cárdenas; Patricia Arroba; José Manuel Moya; José L. Risco-Martín (SummerSim, 2019)

A dEVS Simulation Algorithm Based on Shared Memory for Enhancing Performance. - Román Cárdenas; Kevin Henares; Patricia Arroba; Gabriel A. Wainer; José L. Risco-Martín (WSC, 2020)

Mercury: A modeling, simulation, and optimization framework for data stream-oriented IoT applications. - Román Cárdenas; Patricia Arroba; Roberto Blanco; Pedro Malagón; José L. Risco-Martín; José Manuel Moya (Simul. Model. Pract. Theory, 2020)

Energy-conscious optimization of Edge Computing through Deep Reinforcement Learning and two-phase immersion cooling. - Sergio Pérez 002; Patricia Arroba; José Manuel Moya (Future Gener. Comput. Syst., 2021)

Bringing AI to the edge: a formal M&S specification to deploy effective IoT architectures. - Román Cárdenas; Patricia Arroba; José Luis Risco-Martín (J. Simulation, 2022)

The DEVStone Metric: Performance Analysis of DEVS Simulation Engines. - Román Cárdenas; Kevin Henares; Patricia Arroba; José L. Risco-Martín; Gabriel A. Wainer (ACM Trans. Model. Comput. Simul., 2022)

EN-Beats: A Novel Ensemble Learning-Based Method for Multiple Resource Predictions in Cloud. - Ming Chen; Maria Rodriguez Read; Patricia Arroba; Rajkumar Buyya (CLOUD, 2023)

DEMOTS: A Decentralized Task Scheduling Algorithm for Micro-Clouds with Dynamic Power-Budgets. - Tharindu B. Hewage; Shashikant Ilager; Maria Alejandra Rodriguez; Patricia Arroba; Rajkumar Buyya (CLOUD, 2023)

A New Family of XDEVS Simulators for Enhanced Performance. - Román Cárdenas; Patricia Arroba; José L. Risco-Martín (ANNSIM, 2023)

Decision Support Framework for Automating the Optimization of Edge Computing Federations. - Antonio F. Rodríguez-Liria; Román Cárdenas; Patricia Arroba; José Manuel Moya; José L. Risco-Martín; Gabriel A. Wainer (ANNSIM, 2023)

Data augmentation through multivariate scenario forecasting in Data Centers using Generative Adversarial Networks. - Jaime Pérez; Patricia Arroba; José Manuel Moya (Appl. Intell., 2023)

Energy-Efficiency and Sustainability in New Generation Cloud Computing: A Vision and Directions for Integrated Management of Data Centre Resources and Workloads. - Rajkumar Buyya; Shashikant Ilager; Patricia Arroba (CoRR, 2023)

Modeling and simulation of smart grid-aware edge computing federations. - Román Cárdenas; Patricia Arroba; José L. Risco-Martín; José Manuel Moya (Clust. Comput., 2023)

xDEVS: A toolkit for interoperable modeling and simulation of formal discrete event systems. - José L. Risco-Martín; Saurabh Mittal; Kevin Henares; Román Cárdenas; Patricia Arroba (Softw. Pract. Exp., 2023)

xDEVS no_std: A Rust Crate for Real-Time DEVS on Embedded Systems. - Román Cárdenas; Pedro Malagón; Patricia Arroba; José L. Risco-Martín (ANNSIM, 2024)

A Novel Real-Time DEVS Simulation Architecture with Hardware-In-The-Loop Capabilities. - Óscar Fernández-Sebastián; Román Cárdenas; Patricia Arroba; José L. Risco-Martín (ANNSIM, 2024)

Enhancing Regression Models for Complex Systems Using Evolutionary Techniques for Feature Engineering. - Patricia Arroba; José L. Risco-Martín; Marina Zapater; José M. Moya; José L. Ayala (CoRR, 2024)

Sustainable edge computing: Challenges and future directions. - Patricia Arroba; Rajkumar Buyya; Román Cárdenas; José Luis Risco-Martín; José Manuel Moya (Softw. Pract. Exp., 2024)

Lock-free simulation algorithm to enhance the performance of sequential and parallel DEVS simulators in shared-memory architectures. - Román Cárdenas; Patricia Arroba; José L. Risco-Martín (J. Parallel Distributed Comput., 2025)

Efficient Training Approaches for Performance Anomaly Detection Models in Edge Computing Environments. - Duneesha Fernando; Maria A. Rodriguez 001; Patricia Arroba; Leila Ismail; Rajkumar Buyya (ACM Trans. Auton. Adapt. Syst., 2025)