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2020 – today
- 2024
[j14]Patricia Arroba, Rajkumar Buyya, Román Cárdenas, José Luis Risco-Martín, José Manuel Moya:
Sustainable edge computing: Challenges and future directions. Softw. Pract. Exp. 54(11): 2272-2296 (2024)- [i11]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 abs/2401.16387 (2024) - [i10]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 abs/2407.00001 (2024) - [i9]Duneesha Fernando, Maria Alejandra Rodriguez, Patricia Arroba, Leila Ismail, Rajkumar Buyya:
Efficient Training Approaches for Performance Anomaly Detection Models in Edge Computing Environments. CoRR abs/2408.12855 (2024) - 2023
- [j13]Jaime Pérez
, Patricia Arroba, José Manuel Moya:
Data augmentation through multivariate scenario forecasting in Data Centers using Generative Adversarial Networks. Appl. Intell. 53(2): 1469-1486 (2023) - [j12]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): 719-743 (2023) - [j11]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): 748-789 (2023) - [c11]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: 144-154 - [c10]Tharindu B. Hewage, Shashikant Ilager, Maria Alejandra Rodriguez, Patricia Arroba, Rajkumar Buyya:
DEMOTS: A Decentralized Task Scheduling Algorithm for Micro-Clouds with Dynamic Power-Budgets. CLOUD 2023: 418-427 - [c9]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: 49-60 - [c8]Román Cárdenas, Patricia Arroba, José L. Risco-Martín:
A New Family of XDEVS Simulators for Enhanced Performance. ANNSIM 2023: 668-679 - [i8]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 abs/2303.10572 (2023) - [i7]Patricia Arroba, Rajkumar Buyya, Román Cárdenas, José L. Risco-Martín, José Manuel Moya:
Sustainable Edge Computing: Challenges and Future Directions. CoRR abs/2304.04450 (2023) - [i6]Román Cárdenas, Patricia Arroba, José L. Risco-Martín:
Bringing AI to the edge: A formal M&S specification to deploy effective IoT architectures. CoRR abs/2305.10437 (2023) - [i5]Román Cárdenas, Kevin Henares, Patricia Arroba, José L. Risco-Martín, Gabriel A. Wainer:
The DEVStone Metric: Performance Analysis of DEVS Simulation Engines. CoRR abs/2309.16544 (2023) - [i4]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 abs/2312.02172 (2023) - [i3]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 abs/2312.10663 (2023) - 2022
- [j10]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): 494-511 (2022) - [j9]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): 21:1-21:20 (2022) - [i2]Jaime Pérez, Patricia Arroba, José Manuel Moya:
Data augmentation through multivariate scenario forecasting in Data Centers using Generative Adversarial Networks. CoRR abs/2201.06147 (2022) - [i1]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 abs/2211.06329 (2022) - 2021
- [j8]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: 891-907 (2021) - 2020
- [j7]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: 102037 (2020) - [c7]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: 2184-2195
2010 – 2019
- 2019
- [c6]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: 349-354 - [c5]Román Cárdenas, Patricia Arroba, José Manuel Moya, José L. Risco-Martín:
Edge federation simulator for data stream analytics. SummerSim 2019: 43:1-43:12 - 2018
- [j6]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): 1775-1804 (2018) - [c4]Jaime Pérez, Sergio Pérez, José Manuel Moya, Patricia Arroba:
Thermal Prediction for Immersion Cooling Data Centers Based on Recurrent Neural Networks. IDEAL (1) 2018: 491-498 - 2017
- [j5]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) - [j4]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): 1249-1256 (2017) - 2016
- [j3]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: 94-107 (2016) - 2015
- [j2]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): 409-423 (2015) - [c3]Ignacio Aransay, Marina Zapater, Patricia Arroba, José Manuel Moya:
A Trust and Reputation System for Energy Optimization in Cloud Data Centers. CLOUD 2015: 138-145 - [c2]Patricia Arroba, José Manuel Moya, José L. Ayala, Rajkumar Buyya:
DVFS-Aware Consolidation for Energy-Efficient Clouds. PACT 2015: 494-495 - 2014
- [j1]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: 138-154 (2014) - 2011
- [c1]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: 209-215
Coauthor Index
aka: José L. Risco-Martín
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