Study on the Safety Situation Prediction of Virtual Network Loads

Abstract

The prediction of virtual network loads is an important part of the planning in a virtual network load system, which also lays the foundation for the system’s production and operation. Therefore, sound prediction of virtual network loads is essential for the planning and the operation of virtual network load systems. Based on related literature concerning the applications of the gray neural network model in the prediction of virtual network loads, the study on the safety situation prediction of virtual network loads was provided from the perspective of the gray neural network model in this paper. The experiments showed that the prediction performance of complex virtual network loads based on the gray neural network model optimization was excellent.