Traffic Load-Balancing for Software-Defined Elastic Optical Networks Based Cross-Entropy Technique

摘要

The stringent requirements of the 5G to transfer massive data traffic, to various applications, will be based on optimization and utilization of the optical network bandwidth resources. Traffic load balancing management should efficiently optimize the optical bandwidth resources. In this study we present the cross-entropy optimization approach for software-defined elastic optical networks for fiber-load balancing across the network, while meeting the optical and defragmentation constraints, and minimizing the cost of the resulting service disruption, with a reasonable convergence time.