We show that classical supervised Machine Learning techniques, after trained with a large number of optimal RWA configurations solved via ILP, can rapidly procure the most appropriate RWA configuration to be applied for a new traffic matrix.

Is Machine Learning Suitable for Solving RWA Problems in Optical Networks?

Sebastian Troia;Francesco Musumeci;Guido Maier;
2018-01-01

Abstract

We show that classical supervised Machine Learning techniques, after trained with a large number of optimal RWA configurations solved via ILP, can rapidly procure the most appropriate RWA configuration to be applied for a new traffic matrix.
2018
Proceedings of ECOC 2018
978-153864862-9
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1065480
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