一种基于支持向量机的IP网络流量预测方法
Prediction of IP Network Traffic Based on Support Vector Machine
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摘要: 随着网络技术的发展,网络规模逐渐扩大,网络结构越来越复杂,为了便于加强网络管理,需要对IP网络流量进行测量和预测。针对上述情况,本文基于NetFlow协议、按照优化设计的组网方案进行数据流捕获,设计了IP网络流量采集系统,提出了一种基于支持向量机的流量预测的方法。最后,通过实例验证了该方法的有效性和可行性。Abstract: With the development of network technology,the scale of a network becomes larger and the network structure is more complex.In order to enhance network management,it is needed to supervise and forecast the traffic of IP network.In this paper,in response to these circumstances,the traffic data was captured in accordance with the netflow protocol and the optimal design of the network,an IP traffic capture system was designed.Then,a support vector machine-based traffic prediction method was proposed.The experimental results show that the method is effective and feasible.