Provisioning strategies for Translucent Elastic Optical Networks (EONs) should consider both spectrum and transponder costs. End-to-end connections that support user demands may be obtained on the one hand via transparent paths, which avoid regeneration costs but may require more spectrum slot, thus increasing the blocking probability, on the other hand via opaque paths that can reduce spectrum requirements, but at the cost of additional transponders for regeneration purposes. In this context, a wise provisioning strategy needs to consider translucent paths that can provide a good trade-off between transparent and opaque solutions. We propose a provisioning strategy that considers a multi-objective optimization problem aiming at the joint minimization of spectrum resources and regenerators. We show that the proposed strategy can significantly reduce regeneration costs while achieving low blocking probability.

Optimal Provisioning Strategies for Translucent Elastic Optical Networks / GONZALEZ MONTORO, JUAN NEHUEN; Finochietto, Jorge M.; Bianco, Andrea. - ELETTRONICO. - (2018), pp. 1-7. (Intervento presentato al convegno IEEE Globecom 2018 tenutosi a Abu Dhabi nel December 2018) [10.1109/GLOCOM.2018.8647424].

Optimal Provisioning Strategies for Translucent Elastic Optical Networks

GONZALEZ MONTORO, JUAN NEHUEN;Finochietto, Jorge M.;Bianco, Andrea
2018

Abstract

Provisioning strategies for Translucent Elastic Optical Networks (EONs) should consider both spectrum and transponder costs. End-to-end connections that support user demands may be obtained on the one hand via transparent paths, which avoid regeneration costs but may require more spectrum slot, thus increasing the blocking probability, on the other hand via opaque paths that can reduce spectrum requirements, but at the cost of additional transponders for regeneration purposes. In this context, a wise provisioning strategy needs to consider translucent paths that can provide a good trade-off between transparent and opaque solutions. We propose a provisioning strategy that considers a multi-objective optimization problem aiming at the joint minimization of spectrum resources and regenerators. We show that the proposed strategy can significantly reduce regeneration costs while achieving low blocking probability.
2018
978-1-5386-4727-1
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2767654
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