51 citations · 220 across the 10 of their papers we have counts for
10 papers
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…
Modeling methodology for the accurate and prompt prediction of symptomatic events in chronic diseases
Josué Pagán, José L. Risco-Martín, José M. Moya +1
Prediction of symptomatic crises in chronic diseases allows to take decisions before the symptoms occur, such as the intake of drugs to avoid the symptoms or the activation of medi…
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.…
Toward Ultra-Low-Power Remote Health Monitoring: An Optimal and Adaptive Compressed Sensing Framework for Activity Recognition
J. Pagan, R. Fallahzadeh, M. Pedram +4
Activity recognition, as an important component of behavioral monitoring and intervention, has attracted enormous attention, especially in Mobile Cloud Computing (MCC) and Remote H…
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…
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…
CACHE SNIPER : Accurate timing control of cache evictions
Samira Briongos, Ida Bruhns, Pedro Malagón +2
Microarchitectural side channel attacks have been very prominent in security research over the last few years. Caches have been an outstanding covert channel, as they provide high…
RELOAD+REFRESH: Abusing Cache Replacement Policies to Perform Stealthy Cache Attacks
Samira Briongos, Pedro Malagón, José M. Moya +1
Caches have become the prime method for unintended information extraction across logical isolation boundaries. Even Spectre and Meltdown rely on the cache side channel, as it provi…