一种可扩展网络流量识别模型

A Scalable Network Traffic Identification Model

一些新型的网络应用,如P2P、流媒体和网络游戏等,丰富了人们的网络生活,同时也消耗了大量的网络带宽。从网络运营的层面来看,要保障网络的正常运行,需要有效的管理和控制不同类别的网络流量。流量控制的前提是流量识别,STI(Scalable Traffic Identification)模型,采用端口映射、流量特征配置和内核模块插件等技术灵活扩展系统识别能力,进而可以实现对流量的有效控制。通过实验验证了这种流量识别模型的有效性和正确性。

While some new network applications, such as P2P, streaming media, and online games, enriching people＇s network life, these applications consume massive bandwidth of network. From the view of network operation, to ensure the ordinary operation of network, the efficient management and control on various network traffics are necessary. Traffic identification is the prerequisite for traffic control. STI （Scalable Traffic Identification） model uses port mapping, traffic features deploying, and kernel module plug - in flexibly expand system＇ s identification capability. And further control on the traffic can be done. The experiment results show the efficiency and correctness of this model.