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.
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. © OSA 2014.
Energy Saving Through Traffic Profiling and Prediction in Self-Optimizing Optical Networks / D., Siracusa; Pederzolli, Federico; Lo Cigno, Renato Antonio; E., Salvadori. - ELETTRONICO. - (2014). ( Optical Fiber Communication Conference, OFC 2014 San Francisco, CA, USA 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. © OSA 2014.| File | Dimensione | Formato | |
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