43 citations · 163 across the 11 of their papers we have counts for
11 papers
Efficient Training Approaches for Performance Anomaly Detection Models in Edge Computing Environments
Duneesha Fernando, Maria A. Rodriguez, Patricia Arroba +2
Microservice architectures are increasingly used to modularize IoT applications and deploy them in distributed and heterogeneous edge computing environments. Over time, these micro…
Enhancing Regression Models for Complex Systems Using Evolutionary Techniques for Feature Engineering
Patricia Arroba, José L. Risco-Martín, Marina Zapater +2
This work proposes an automatic methodology for modeling complex systems. Our methodology is based on the combination of Grammatical Evolution and classical regression to obtain an…
Green Adaptation of Real-Time Web Services for Industrial CPS within a Cloud Environment
Teresa Higuera, José L. Risco-Martín, Patricia Arroba +1
Managing energy efficiency under timing constraints is an interesting and big challenge. This work proposes an accurate power model in data centers for time-constrained servers in…
Heuristics and Metaheuristics for Dynamic Management of Computing and Cooling Energy in Cloud Data Centers
Patricia Arroba, José L. Risco-Martín, José M. Moya +1
Data centers handle impressive high figures in terms of energy consumption, and the growing popularity of Cloud applications is intensifying their computational demand. Moreover, t…
Mercury: A modeling, simulation, and optimization framework for data stream-oriented IoT applications
Román Cárdenas, Patricia Arroba, Roberto Blanco +3
The Internet of Things is transforming our society by monitoring users and infrastructures' behavior to enable new services that will improve life quality and resource management.…
The DEVStone Metric: Performance Analysis of DEVS Simulation Engines
Román Cárdenas, Kevin Henares, Patricia Arroba +2
The DEVStone benchmark allows us to evaluate the performance of discrete-event simulators based on the DEVS formalism. It provides model sets with different characteristics, enabli…
Bringing AI to the edge: A formal M&S specification to deploy effective IoT architectures
Román Cárdenas, Patricia Arroba, José L. Risco-Martín
The Internet of Things is transforming our society, providing new services that improve the quality of life and resource management. These applications are based on ubiquitous netw…
Sustainable Edge Computing: Challenges and Future Directions
Patricia Arroba, Rajkumar Buyya, Román Cárdenas +2
An increasing amount of data is being injected into the network from IoT (Internet of Things) applications. Many of these applications, developed to improve society's quality of li…
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
Cloud computing has become a critical infrastructure for modern society, like electric power grids and roads. As the backbone of the modern economy, it offers subscription-based co…
Runtime data center temperature prediction using Grammatical Evolution techniques
Marina Zapater, José L. Risco-Martín, Patricia Arroba +3
Data Centers are huge power consumers, both because of the energy required for computation and the cooling needed to keep servers below thermal redlining. The most common technique…
Data augmentation through multivariate scenario forecasting in Data Centers using Generative Adversarial Networks
Jaime Pérez, Patricia Arroba, José M. Moya
The Cloud paradigm is at a critical point in which the existing energy-efficiency techniques are reaching a plateau, while the computing resources demand at Data Center facilities…