Lenovo (beijing) Limited

Beijing University of Posts and Telecommunications

Zhipeng Gao

Shaohua Li

Yang Yang

Ming Lei

Da Li

Haijun Xu

Wenjing Li

Xuesong Qiu

Jingyang Yan

Lanlan Rui

Embodiments of the present disclosure provide a method for activating at least a first edge server and a second edge server. The first edge server includes a first service processor, and the second edge server includes a second service processor. The method includes establishing a data communication connection between the first service processor and the second service processor, establishing a data communication connection between the first service processor and a specified website, establishing a trusted communication between the first service processor and the specified website, establishing a trusted communication between the first service processor and the second service processor, obtaining an activation right from the specified website by the first service processor, and performing the activation right to activate the first edge server and the second edge server by the first service processor.

Method for activating edge servers

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.

Deep reinforcement learning-based information processing method and apparatus for edge computing server

Growing community of inventors

Beijing, China

Zhipeng Gao