Patricia Arroba

According to our database, Patricia Arroba authored at least 26 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., March, 2023

Modeling and simulation of smart grid-aware edge computing federations.

Román Cárdenas, Patricia Arroba, José L. Risco-Martín, José Manuel Moya

Clust. Comput., February, 2023

Sustainable Edge Computing: Challenges and Future Directions.

Patricia Arroba, Rajkumar Buyya, Román Cárdenas, José L. Risco-Martín, José Manuel Moya

CoRR, 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

Data augmentation through multivariate scenario forecasting in Data Centers using Generative Adversarial Networks.

Jaime Pérez, Patricia Arroba, José Manuel Moya

Appl. Intell., 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

Proceedings of the Annual Modeling and Simulation Conference, 2023

A New Family of XDEVS Simulators for Enhanced Performance.

Román Cárdenas, Patricia Arroba, José L. Risco-Martín

Proceedings of the Annual Modeling and Simulation Conference, 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

Proceedings of the 16th IEEE International Conference on Cloud Computing, 2023

EN-Beats: A Novel Ensemble Learning-Based Method for Multiple Resource Predictions in Cloud.

Ming Chen, Maria Rodriguez Read, Patricia Arroba, Rajkumar Buyya

Proceedings of the 16th IEEE International Conference on Cloud Computing, 2023

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

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

2021

Energy-conscious optimization of Edge Computing through Deep Reinforcement Learning and two-phase immersion cooling.

Sergio Pérez, Patricia Arroba, José Manuel Moya

Future Gener. Comput. Syst., 2021

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

A dEVS Simulation Algorithm Based on Shared Memory for Enhancing Performance.

Román Cárdenas, Kevin Henares, Patricia Arroba, Gabriel A. Wainer, José L. Risco-Martín

Proceedings of the Winter Simulation Conference, 2020

2019

Edge federation simulator for data stream analytics.

Román Cárdenas, Patricia Arroba, José Manuel Moya, José L. Risco-Martín

Proceedings of the 2019 Summer Simulation Conference, 2019

Predictive GPU-based ADAS Management in Energy-Conscious Smart Cities.

Sergio Pérez, Jaime Pérez, Patricia Arroba, Roberto Blanco, José L. Ayala, José Manuel Moya

Proceedings of the 2019 IEEE International Smart Cities Conference, 2019

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

Thermal Prediction for Immersion Cooling Data Centers Based on Recurrent Neural Networks.

Jaime Pérez, Sergio Pérez, José Manuel Moya, Patricia Arroba

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

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

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

2016

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

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

DVFS-Aware Consolidation for Energy-Efficient Clouds.

Patricia Arroba, José Manuel Moya, José L. Ayala, Rajkumar Buyya

Proceedings of the 2015 International Conference on Parallel Architectures and Compilation, 2015

A Trust and Reputation System for Energy Optimization in Cloud Data Centers.

Ignacio Aransay, Marina Zapater, Patricia Arroba, José Manuel Moya

Proceedings of the 8th IEEE International Conference on Cloud Computing, 2015

2014

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

2011

A Methodology for Developing Accessible Mobile Platforms over Leading Devices for Visually Impaired People.

Patricia Arroba, Juan Carlos Vallejo, Álvaro Araujo, David Fraga, José Manuel Moya

Proceedings of the Ambient Assisted Living - Third International Workshop, 2011