no code implementations • 15 Feb 2024 • Josué Pagán, José L. Risco-Martín, José M. Moya, José L. Ayala
For that purpose, this work develops a methodology to build predictive migraine models and to improve these predictions beyond the limits of the initial models.
no code implementations • 17 Dec 2023 • Patricia Arroba, José L. Risco-Martín, José M. Moya, José L. Ayala
Data centers handle impressive high figures in terms of energy consumption, and the growing popularity of Cloud applications is intensifying their computational demand.
no code implementations • 11 Nov 2022 • Marina Zapater, José L. Risco-Martín, Patricia Arroba, José L. Ayala, José M. Moya, Román Hermida
By using Gramatical Evolution techniques, this paper presents a methodology for the generation of temperature models for data centers and the runtime prediction of CPU and inlet temperature under variable cooling setups.
1 code implementation • 12 Jan 2022 • Jaime Pérez, Patricia Arroba, José M. Moya
This paper proposes a time-series data augmentation methodology based on synthetic scenario forecasting within the Data Center.