DocumentCode :
1794484
Title :
Energy saving through traffic profiling and prediction in self-optimizing optical networks
Author :
Siracusa, Domenico ; Pederzolli, Federico ; Lo Cigno, Renato ; Salvadori, Elio
Author_Institution :
CREATE-NET, Trento, Italy
fYear :
2014
fDate :
9-13 March 2014
Firstpage :
1
Lastpage :
3
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.
Keywords :
optical fibre networks; telecommunication traffic; active optical carriers; energy saving; low traffic loss probability; self-optimizing optical networks; traffic behavior prediction; traffic profiling; Heuristic algorithms; Optical fiber networks; Prediction algorithms; Predictive models; Safety; Traffic control; Transponders;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Optical Fiber Communications Conference and Exhibition (OFC), 2014
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-5575-2994-7
Type :
conf
DOI :
10.1364/OFC.2014.W4H.1
Filename :
6887197
Link To Document :
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