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In order to improve the stability and security of network operation, a network security prediction method based on kubernetes is proposed. CPU resources are managed by kubernetes. Based on this, terminal data and resources are converged, and network extension is standardized according to the final situation value. Combined with POS algorithm, starting from the group theory, through the cooperation and competition between different particles in the network, a particle swarm optimization model of “network running speed network communication” is established. Through the relationship of particle swarm optimization in the network, the SVR parameters are optimized. The network security is predicted by extracting the characteristics of network load. Through the application of the design method, it is proved that this method can realize the effective prediction of network operation security.

Network security prediction method based on kubernetes