Data processing method and apparatus based on edge computing, device, and storage medium

A computer device, comprising:

• a processor, a memory, and a network interface, the processor being connected to the memory and the network interface, the network interface being configured to provide a network communication function, the memory being configured to store computer-readable instructions, and the computer-readable instructions, when executed by the processor, causing the computer device to perform a method for allocating edge computing resources performed by a computer device, the method comprising:
• obtaining computing power resource information occupied by a target application at an edge computing node and a current operating frequency of the edge computing node during operation of the target application;
• determining expected demand computing power resource information of the target application for the edge computing node within a target time period according to a number of newly added service objects, offline service objects, and scenario switching service objects during the target time period;
• and
• determining a target operating frequency of the edge computing node within the target time period according to the current operating frequency, the occupied computing power resource information, and the expected demand computing power resource information.

A non-transitory computer-readable storage medium, storing computer-readable instructions, and the computer-readable instructions, when executed by a processor of a computer device, causing the computer device to perform a method for allocating edge computing resources performed by a computer device, the method comprising:

• obtaining computing power resource information occupied by a target application at an edge computing node and a current operating frequency of the edge computing node during operation of the target application;
• determining expected demand computing power resource information of the target application for the edge computing node within a target time period according to a number of newly added service objects, offline service objects, and scenario switching service objects during the target time period;
• and
• determining a target operating frequency of the edge computing node within the target time period according to the current operating frequency, the occupied computing power resource information, and the expected demand computing power resource information.