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M. Zhani

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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

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