Patents by Inventor Lanlan RUI

Lanlan RUI has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Deep reinforcement learning-based information processing method and apparatus for edge computing server
    Patent number: 11616683
    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.
    Type: Grant
    Filed: November 8, 2021
    Date of Patent: March 28, 2023
    Assignee: BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS
    Inventors: Lanlan Rui, Yang Yang, Xuesong Qiu, Jingyang Yan, Zhipeng Gao, Wenjing Li
  • DEEP REINFORCEMENT LEARNING-BASED INFORMATION PROCESSING METHOD AND APPARATUS FOR EDGE COMPUTING SERVER
    Publication number: 20220255790
    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.
    Type: Application
    Filed: November 8, 2021
    Publication date: August 11, 2022
    Applicant: Beijing University of Posts and Telecommunications
    Inventors: Lanlan RUI, Yang YANG, Xuesong QIU, Jingyang YAN, Zhipeng GAO, Wenjing LI