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