公开(公告)号：US11616683B2

公开(公告)日：2023-03-28

申请号：US17520744

申请日：2021-11-08

Applicant: Beijing University of Posts and Telecommunications

Inventor： Lanlan Rui ,  Yang Yang ,  Xuesong Qiu ,  Jingyang Yan ,  Zhipeng Gao ,  Wenjing Li

IPC: H04L41/0631 ,  H04L41/16

Abstract: A deep reinforcement learning-based information processing method includes: determining whether a target edge computing server enters an alert state according to a quantity of service requests received by the target edge computing server within a preset time period; when the target edge computing server enters the alert state, obtaining preset system status information from a preset memory library; computing an optimal action value corresponding to the target edge computing server based on a preset deep reinforcement learning model according to the preset system status information and preset strategy information; and generating an action corresponding to the target edge computing server according to the optimal action value, and performing the action on the target edge computing server. A deep reinforcement learning-based information processing apparatus for an edge computing server includes a first determining module, an acquisition module, a first computing module, a first generation module.