And a series of research in the characteristic of network traffic behavior of the campus LAN have been done, which offer some supports of making decision in the management of the campus LAN.
本文针对当前校园网络管理存在的问题，将理论方法与实际分析相结合，对校园网流量行为的特性进行了一系列的研究，为校园网络的管理提供了一定的决策支持。
An Internet user could predict the future status based on the link bandwidth and the local traffic, and then control his own network behavior.
用户根据探测的链路带宽和本地网络的业务状态，对未来状态进行预测，并主动控制自己的网络行为。
CAIDA collects, monitors, analyzes, and visualizes several forms of Internet traffic data concerning network topology, workload characterization, performance, routing, and multicast behavior.
CAIDA收集、监控、分析和可视化以下几种互联网流量数据：关于网络拓扑、工作量特性、性能、路由和多播行为。
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