公开(公告)号：US20190123974A1

公开(公告)日：2019-04-25

申请号：US16226577

申请日：2018-12-19

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Trimponias GEORGIOS ,  Zhitang CHEN ,  Yanhui GENG

IPC: H04L12/24 ,  H04L12/715 ,  G06N3/08 ,  G06N3/04

Abstract: Embodiments of this application provide a method for generating a routing control action in a software-defined network and a related device, to provide optimum control actions for the SDN. The method includes: obtaining a current network state parameter of the SDN; determining a Q function of the SDN based on the current network state parameter of the SDN and a deep neural network model, where the deep neural network model is determined based on a current topology structure of the SDN; and determining a routing control action for the SDN based on the Q function and a link state parameter of each link in the SDN. In the technical solution, the deep neural network model is combined with a Q-learning algorithm of reinforcement learning, and optimum control actions can be determined.