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Wavelength Defragmentation for Seamless Service Migration

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Abstract

Emerging applications require future elastic optical networks to provide dynamic and reconfigurable services while maintaining efficient usage of wavelength resources. In this paper, we propose integer linear programming (ILP)-based wavelength defragmentation solutions with minimal optical path disruptions during the migration process. The new approaches achieve up to 20% resource efficiency improvement with less than a quarter of disruptions compared to a conventional approach in the sample networks. In addition, we enhance our approach to shorten the computation time and evaluate it under a computation time limitation of 10 min. The enhanced approach also achieves a resource efficiency improvement of more than 20% with no optical path disruption in the realistic networks, compared with the case where defragmentation is not supported.

© 2017 Optical Society of America

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