Abstract
This work considers a provisioning framework for inter-datacenter elastic optical networks, which incorporates prediction and pre-deployment of virtual network function service chains (vNF-SCs), and designs a new deep learning (DL) model to realize accurate prediction. Simulation results confirm that the new DL model provides higher prediction accuracy than the existing approach, and with it, a service provider achieves better tradeoff between resource utilization and blocking probability.
© 2018 The Author(s)
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