Study of self-similarity characteristic of network traffic based on classified packets of data link layer
Gaogang Xie · Computer Engineering and Applications Journal · 2009
A novel method of studying self-similarity of network traffic is presented.By measuring online the network traffic of classified packets of a backbone link layer in OC-48 POS in a metro area network in long-term,the Hurst exponents of classi fied packets are been estimated by the method of R/S(rescaled range).The network traffic of the classified packets is self-simi- larity and the reason is explained by the ON/OFF traffic model.Then the influence of the traffic of classified packets on the self-similarity of the total traffic is researched by the method of PCA (Primary Component Analysis) and find that the self-simi- larity characteristic of the total traffic is mainly caused by the classified packets whose lengths are under 512 byte.Finally,the result of the experiment shows that the method is effective.