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Abstract

Elastic optical networks provide flexible bandwidth allocation which helps to optimize overall bandwidth usage in a network. Though the study in this field is more than a decade long, some recent developments like inclusion of machine learning tools and new protection based approaches have emerged. In this paper, we review some of the recent developments in elastic optical networks using machine learning, different routing schemes and protection approaches. We have pointed out future research scope and challenges in this area of work.

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