基于ARMA模型的局域网短期流量预测研究

Yi-yong Lin, Yang Qiao, Shibin Hu, B. Dong, Xing-yuan Zhang
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引用次数: 0

摘要

本文根据局域网短期流量数据的特点,分析了ARMA模型的特点。利用ARMA方法建立了网络流量的时间预测模型。确定了ARMA模型的预测参数,并对模型进行了数值模拟。仿真结果与NetFlow实测数据的对比表明,该模型能够准确预测局域网短期内的流量行为趋势,为网络流量行为分析提供参考和参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on short-term flow prediction of local area network based on ARMA model
The characteristics of the ARMA model are analyzed according to the characteristics of the short-term flow data of the local area network in this paper. The time prediction model of network flow is established on the ARMA method. The prediction parameters of the ARMA model are determined and the model is simulated According to the short-term flow prediction. The comparison between the simulation results and the measured data of NetFlow shows that the model can accurately predict the short-term flow behavior trend of the local area network, which can provide reference and reference for the analysis of network traffic behavior.
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