基于Pareto分布的IP骨干节点输入通信量模型

A Pareto Model for the Traffic of IP Backbone Node

输入通信量的行为特性对于 IP 骨干网节点的性能和设计有重要的影响。本文从 IP 骨干网络节点输入通信量角度出发,提出了一个基于 Pareto 和指数分布的混合通信量模型,其中数据包到达间隔为 Pareto 分布.包大小为指数分布。该模型克服了传统网络通信量模型中没有显式考虑数据包大小的缺点,从数据包级对网络通信量进行了精确的描述,从而能够更好地进行路由器结构设计和性能分析。仿真实验验证了我们模型的有效性。

The behavior of input traffic has a great influence on the design and performance of IP backbone node. In this paper,a mixed network traffic model is proposed based on Pareto and exponential distribution from the point of view of IP backbone router arrival traffic. In this model,packet arrival-interval obeys Pareto distribution and packet size obeys exponential distribution. This model overcomes the shortcoming of traditional network traffic model, which does not consider the packet size explicitly. It accurately describes the network traffic on the packet level, and is useful for the structure design and performance analysis of router. Simulation confirms the effective of this model.