Network management method, apparatus, and system, and storage medium

A network management apparatus, comprising:

• a memory configured to store instructions;
• and
• one or more processors coupled to the memory and configured to execute the instructions to:
• generate a first simulation network dataset based on a data generation model, wherein the data generation model is obtained through training based on a first network dataset, and the first network dataset comprises network data collected from a physical network;
• and
• create or update a network twin based on the first simulation network dataset, wherein the network twin is a digital representation of the physical network for emulating the physical network.

A network management apparatus, comprising:

• a memory configured to store instructions;
• and
• one or more processors coupled to the memory and configured to execute the instructions to:
• receive a historical data reporting indication and a reporting policy switching indication from a network management service consumer entity, wherein the historical data reporting indication indicates to report a historical network dataset of a physical network, the reporting policy switching indication indicates to reduce a data obtaining periodicity and a reporting periodicity of the network dataset of the physical network, the historical network dataset is used to optimize a data generation model, the data generation model is used to generate a simulation network dataset, the simulation network dataset is used to create or update a network twin, and the network twin is a digital representation of the physical network for emulating the physical network;
• and
• send the historical network dataset to the network management service consumer entity based on the historical data reporting indication, and sending a newly generated network dataset to the network management service consumer entity based on the reporting policy switching indication, wherein the newly generated network dataset is used to update the network twin during the optimization of the data generation model.