模糊综合评判算法在网络流量预测中应用

Network Traffic Prediction Based on Fuzzy Comprehensive Evaluation Algorithm

研究了网络流量预测准确性问题。预测网络数据流的动态变化,针对互联网中对网络流量的不确定影响因素较多,传统的流量预测模型精度较低等问题缺陷,提出了一种新的模糊综合评判算法,对网络流量进行预测。在全面分析网络流量相关需求的基础上,首先利用相关空间重构对网络流量原始数据进行重构,采用改进的层次分析多模型进行优化,建立模糊综合评判的网络入侵检测多指标评估模型,最终经预测得出结果。仿真结果表明采用该算法对实际网络的流量进行了预测,验证了方法具有较高的预测精度。

Study optimization of network traffic prediction. Because of the traditional traffic forecasting model accuracy not high defects, a new algorithm was proposed based on fuzzy comprehensive evaluation of network traffic forecasting model. Related needs for network traffic were analysed based on space reconstruction of raw data. An improved multi-AHP mathematical optimization model was used to establish Fuzzy comprehensive evaluation for network intrusion detection evaluation multi-index optimization model. The final distribution of the predicted results was obtained. The actual network traffic was predicted to verify this method. The results show that the algorithm has higher prediction accuracy than the traditional network traffic prediction algorithm.