基于自相似特性的网络流量模型研究

On Network Traffic Model Based on Self Similarity

详细描述了自相似业务流的特点,包括自相似性的定义、性质、网络流量自相似程度的Hurst参数估计方法、自相似流量的产生原因以及对网络性能的影响等。利用RMD方法生成了自相似分形FGN流量,并分别利用R/S分析法、V/T法和周期图法估计自相似流量的参数,通过与传统的M/M/1排队模型比较,得出自相似对网络性能的影响。

Self-similarity is described in detail,including its definition,nature,Hurst parameter evaluation of network traffic self-similarity,the reason of self-similarity traffic and influence on network performance.The paper makes use of RMD to generate a self-similar fractal FGN traffic,R/S,V/T and periodogram to estimate the parameter of self-similarity traffic.Moreover,the paper compares traditional M/M/1 model and gets the influence of self-similarity on network performance.