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Author

José Gómez-delaHiz

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Open access 2026

AI-Driven Scalable Framework for Energy-Efficient SDN Configurations

This work proposes a Machine Learning (ML)-based algorithm that uses clustering and classification techniques to find energy-efficient configurations in Software-Defined Networks, achieving up to 53% energy savings while reducing execution time by up to 8,000 times.

José Gómez-delaHiz, Manuel Jiménez-Lázaro, J. Herrera et al. · 0 citations
Open access 2026

Emulating the SDN-Enabled Computing Continuum through Lightweight Virtualization

This work introduces an emulation framework that allows developers and operators to decide how to deploy networks, computing devices, and applications in a Computing Continuum environment, ensuring compliance with established Quality of Service standards.

José Gómez-delaHiz, J. Herrera, S. Laso et al. · 0 citations

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