Machine learning-based mechanism for optimal interface selection in network environments employing network address translation

Abstract

A communication session is established between at least a first endpoint and a second endpoint, either or both of which is behind at least one network device in a network that performs network address translation. Candidate path information is obtained that indicates candidate paths in the network through which the communication session can traverse, taking into account, network address translation occurring in the network. The candidate path information is analyzed against training data and data about conditions observed on one or more candidate paths for the communication session with a machine learning-based interface selection process to produce path recommendation information indicating whether one or more candidate paths should or should not be used for the communication session between the first endpoint and the second endpoint. The path recommendation information is supplied to an endpoint in the communication session.