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随着近年来网络使用的普及,针对网络流量分析领域的研究越来越多.提出了各种流量分类算法,其最终目的是为了更好地识别网络带宽中的流量组成.基于对多种不同的流量分类算法的研究发现,网络流量的成流过程作为流量分类算法的基础性工作起着不可或缺的作用,并发现数据包成流的定义也各不相同.描述了一种基于数据包五元组的网络流量成流过程,对某校园网络流量实现了离线式的数据包成流,并针对成流过程中所出现的一些问题进行分析,给出可能的解决方案.
With the popularization of network usage in recent years, more and more researches are devoted to the field of network traffic analysis.A variety of traffic classification algorithms are proposed, the ultimate goal of which is to better identify the traffic composition in the network bandwidth.Based on a variety of different The research of traffic classification algorithm finds that the flow of network traffic is an indispensable part of the basic work of traffic classification algorithm and the definition of packet flow is also different.The paper describes a packet based on data packet Quintuple network traffic flow process, a campus network traffic off-line data packets into a stream, and for some of the problems in the process of flow analysis, gives possible solutions.