虚拟网络负荷安全态势预测研究

Dong Liu, Jing Chang
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引用次数: 0

摘要

虚拟网络负荷预测是虚拟网络负荷系统规划的重要组成部分,也是虚拟网络负荷系统生产运行的基础。因此,良好的虚拟网络负荷预测对虚拟网络负荷系统的规划和运行至关重要。基于灰色神经网络模型在虚拟网络负荷预测中的应用的相关文献,本文从灰色神经网络模型的角度对虚拟网络负荷的安全状况预测进行了研究。实验表明,基于灰色神经网络模型优化的复杂虚拟网络负荷预测性能良好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study on the Safety Situation Prediction of Virtual Network Loads
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.
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