A method that automatically learns and predicts the traffic behavior to save energy by adjusting the number of active optical carriers is presented. Simulations prove it provides large savings and ensures low traffic loss probability.
Energy Saving Through Traffic Profiling and Prediction in Self-Optimizing Optical Networks / D., Siracusa; Pederzolli, Federico; Lo Cigno, Renato Antonio; E., Salvadori. - ELETTRONICO. - (2014). (Intervento presentato al convegno OFC tenutosi a San Francisco, CA, USA nel Mar. 9-13, 2014) [10.1364/OFC.2014.W4H.1].
Energy Saving Through Traffic Profiling and Prediction in Self-Optimizing Optical Networks
D. Siracusa;Pederzolli, Federico;Lo Cigno, Renato Antonio;
2014-01-01
Abstract
A method that automatically learns and predicts the traffic behavior to save energy by adjusting the number of active optical carriers is presented. Simulations prove it provides large savings and ensures low traffic loss probability.File in questo prodotto:
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