首页> 外国专利> MACHINE LEARNING-BASED MECHANISM FOR OPTIMAL INTERFACE SELECTION IN NETWORK ENVIRONMENTS EMPLOYING NETWORK ADDRESS TRANSLATION

MACHINE LEARNING-BASED MECHANISM FOR OPTIMAL INTERFACE SELECTION IN NETWORK ENVIRONMENTS EMPLOYING NETWORK ADDRESS TRANSLATION

机译:应用网络地址翻译的网络环境中基于机器学习的最佳接口选择机制

摘要

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.
机译:在至少第一端点和第二端点之间建立通信会话,这两个端点中的一个或两个都在执行网络地址转换的网络中的至少一个网络设备后面。考虑到网络中发生的网络地址转换,获得候选路径信息,该候选路径信息指示通信会话可以通过的网络中的候选路径。使用基于机器学习的界面选择过程,针对训练数据和有关在通信会话的一条或多条候选路径上观察到的条件的数据对候选路径信息进行分析,以生成指示一条或多条候选路径是否应为一条或多条候选路径的路径推荐信息用于第一端点和第二端点之间的通信会话。路径推荐信息被提供给通信会话中的端点。

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