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Data Analytics for Improving Performance of Spectrally-Spatially Flexible Optical Networks

Optimization of lightpath provisioning in a spectrally-spatially flexible optical network (SS-FON) is challenging due to many difficult constraints that exist in optical networks and because of limited amounts of various transmission resources (such as spectrum, spatial modes, transceivers, regeneration points). Previously demonstrated approaches usually apply fixed provisioning policies (e.g., heuristics for routing, space and spectrum assignment (RSSA)) and fail to completely address the characteristic principle and dynamic conditions of SS-FONs. In this paper, we propose a data analytics approach to present various data related to performance of SS-FONs in order to identify trends and dependencies that can be next applied to improve optimization of SS-FONs.