Patricia Arroba

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 29

Top Topics

Grammatical Evolution

Top Venues

Future Gener. Comput. Syst.

Publications

Patricia Arroba, José L. Risco-Martín, Marina Zapater, José M. Moya, José L. Ayala
Enhancing Regression Models for Complex Systems Using Evolutionary Techniques for Feature Engineering. CoRR (2024)
M. Teresa Higuera-Toledano, José L. Risco-Martín, Patricia Arroba, José L. Ayala
Green Adaptation of Real-Time Web Services for Industrial CPS within a Cloud Environment. CoRR (2024)
Rajkumar Buyya, Shashikant Ilager, Patricia Arroba
Energy-Efficiency and Sustainability in New Generation Cloud Computing: A Vision and Directions for Integrated Management of Data Centre Resources and Workloads. CoRR (2023)
Román Cárdenas, Kevin Henares, Patricia Arroba, José L. Risco-Martín, Gabriel A. Wainer
The DEVStone Metric: Performance Analysis of DEVS Simulation Engines. CoRR (2023)
Jaime Pérez, Patricia Arroba, José Manuel Moya
Data augmentation through multivariate scenario forecasting in Data Centers using Generative Adversarial Networks. Appl. Intell. 53 (2) (2023)
Román Cárdenas, Patricia Arroba, Roberto Blanco, Pedro Malagón, José L. Risco-Martín, José Manuel Moya
Mercury: A modeling, simulation, and optimization framework for data stream-oriented IoT applications. CoRR (2023)
Ming Chen, Maria Rodriguez Read, Patricia Arroba, Rajkumar Buyya
EN-Beats: A Novel Ensemble Learning-Based Method for Multiple Resource Predictions in Cloud. CLOUD (2023)
Román Cárdenas, Patricia Arroba, José L. Risco-Martín
Bringing AI to the edge: A formal M&S specification to deploy effective IoT architectures. CoRR (2023)
Patricia Arroba, José L. Risco-Martín, José Manuel Moya, José L. Ayala
Heuristics and Metaheuristics for Dynamic Management of Computing and Cooling Energy in Cloud Data Centers. CoRR (2023)
Román Cárdenas, Patricia Arroba, José L. Risco-Martín
A New Family of XDEVS Simulators for Enhanced Performance. ANNSIM (2023)
Tharindu B. Hewage, Shashikant Ilager, Maria A. Rodriguez, Patricia Arroba, Rajkumar Buyya
DEMOTS: A Decentralized Task Scheduling Algorithm for Micro-Clouds with Dynamic Power-Budgets. CLOUD (2023)
Román Cárdenas, Patricia Arroba, José L. Risco-Martín, José Manuel Moya
Modeling and simulation of smart grid-aware edge computing federations. Clust. Comput. 26 (1) (2023)
Patricia Arroba, Rajkumar Buyya, Román Cárdenas, José L. Risco-Martín, José Manuel Moya
Sustainable Edge Computing: Challenges and Future Directions. CoRR (2023)
Antonio F. Rodríguez-Liria, Román Cárdenas, Patricia Arroba, José Manuel Moya, José L. Risco-Martín, Gabriel A. Wainer
Decision Support Framework for Automating the Optimization of Edge Computing Federations. ANNSIM (2023)
José L. Risco-Martín, Saurabh Mittal, Kevin Henares, Román Cárdenas, Patricia Arroba
xDEVS: A toolkit for interoperable modeling and simulation of formal discrete event systems. Softw. Pract. Exp. 53 (3) (2023)
Jaime Pérez, Patricia Arroba, José Manuel Moya
Data augmentation through multivariate scenario forecasting in Data Centers using Generative Adversarial Networks. CoRR (2022)
Román Cárdenas, Patricia Arroba, José Luis Risco-Martín
Bringing AI to the edge: a formal M&S specification to deploy effective IoT architectures. J. Simulation 16 (5) (2022)
Marina Zapater, José L. Risco-Martín, Patricia Arroba, José L. Ayala, José Manuel Moya, Román Hermida
Runtime data center temperature prediction using Grammatical Evolution techniques. CoRR (2022)
Román Cárdenas, Kevin Henares, Patricia Arroba, José L. Risco-Martín, Gabriel A. Wainer
The DEVStone Metric: Performance Analysis of DEVS Simulation Engines. ACM Trans. Model. Comput. Simul. 32 (3) (2022)
Sergio Pérez, Patricia Arroba, José Manuel Moya
Energy-conscious optimization of Edge Computing through Deep Reinforcement Learning and two-phase immersion cooling. Future Gener. Comput. Syst. 125 (2021)
Román Cárdenas, Kevin Henares, Patricia Arroba, Gabriel A. Wainer, José L. Risco-Martín
A dEVS Simulation Algorithm Based on Shared Memory for Enhancing Performance. WSC (2020)
Román Cárdenas, Patricia Arroba, Roberto Blanco, Pedro Malagón, José L. Risco-Martín, José Manuel Moya
Mercury: A modeling, simulation, and optimization framework for data stream-oriented IoT applications. Simul. Model. Pract. Theory 101 (2020)
Román Cárdenas, Patricia Arroba, José Manuel Moya, José L. Risco-Martín
Edge federation simulator for data stream analytics. SummerSim (2019)
Sergio Pérez, Jaime Pérez, Patricia Arroba, Roberto Blanco, José L. Ayala, José Manuel Moya
Predictive GPU-based ADAS Management in Energy-Conscious Smart Cities. ISC2 (2019)
Jaime Pérez, Sergio Pérez, José Manuel Moya, Patricia Arroba
Thermal Prediction for Immersion Cooling Data Centers Based on Recurrent Neural Networks. IDEAL (1) (2018)
Patricia Arroba, José L. Risco-Martín, José Manuel Moya, José L. Ayala
Heuristics and metaheuristics for dynamic management of computing and cooling energy in cloud data centers. Softw. Pract. Exp. 48 (10) (2018)
Patricia Arroba, José Manuel Moya, José L. Ayala, Rajkumar Buyya
Dynamic Voltage and Frequency Scaling-aware dynamic consolidation of virtual machines for energy efficient cloud data centers. Concurr. Comput. Pract. Exp. 29 (10) (2017)
M. Teresa Higuera-Toledano, José Luis Risco-Martín, Patricia Arroba, José L. Ayala
Green Adaptation of Real-Time Web Services for Industrial CPS Within a Cloud Environment. IEEE Trans. Ind. Informatics 13 (3) (2017)
Marina Zapater, José L. Risco-Martín, Patricia Arroba, José L. Ayala, José Manuel Moya, Román Hermida
Runtime data center temperature prediction using Grammatical Evolution techniques. Appl. Soft Comput. 49 (2016)
Patricia Arroba, José Manuel Moya, José L. Ayala, Rajkumar Buyya
DVFS-Aware Consolidation for Energy-Efficient Clouds. PACT (2015)
Patricia Arroba, José Luis Risco-Martín, Marina Zapater, José Manuel Moya, José Luis Ayala
Enhancing Regression Models for Complex Systems Using Evolutionary Techniques for Feature Engineering. J. Grid Comput. 13 (3) (2015)
Ignacio Aransay, Marina Zapater, Patricia Arroba, José Manuel Moya
A Trust and Reputation System for Energy Optimization in Cloud Data Centers. CLOUD (2015)
Marina Zapater, Patricia Arroba, José Luis Ayala, José Manuel Moya, Katzalin Olcoz
A novel energy-driven computing paradigm for e-health scenarios. Future Gener. Comput. Syst. 34 (2014)
Patricia Arroba, Juan Carlos Vallejo, Álvaro Araujo, David Fraga, José Manuel Moya
A Methodology for Developing Accessible Mobile Platforms over Leading Devices for Visually Impaired People. IWAAL (2011)