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基于周期性网络流量模型的流量预测
Network Traffic Prediction Based on a Periodic Traffic Model
【摘要】 文中使用自主开发的网络监控系统,对数据链路实施长期的测试监控。通过大量流量测试数据统计分析表明,WAN/LAN实际流量可以分为时间相关分量和时间无关分量。文中介绍了一个基于周期性网络流量模型的流量预测算法,以便对给定时刻的网络流量进行在线预测,并给出了不同预测精度下预测流量取值区间和实际流量的比较结果。
【Abstract】 This paper introduces some communication links for long with our network monitor system. The practical traffic measured from operating network including WAN and LAN can all be divide into two fractions: time dependent fraction and time independent fraction. Based on above experiment conclusion,a selftraining traffic modeling arithmetic based on online measurement and a traffic forecasting arithmetic are designed which can forecast the traffic at any time. The comparison between forecasting traffic at different precision and practical traffic is also given.
- 【文献出处】 计算机应用 ,Computer Applications , 编辑部邮箱 ,2003年10期
- 【分类号】TP393
- 【被引频次】39
- 【下载频次】500