基于时间序列的校园网流量预测研究

Research on Campus Network Traffic Forecast Based on Time Series

网络流量预测能有效地提高网络管理的工作效率和网络带宽的利用率。本文在校园网实际应用环境中,利用时间序列模型对收集到的实际网络流量数据进行预测,并通过实验证明该预测方法具有一定实用性。

The network traffic forecast can effectively enhance the work efficiency of network management and the utilization ratio of network bandwidth. Based on the network flow data collected by time series model in the real application process of campus network, this article carries out a forecast, which is proved to has certain value of practical application through experiment.