基于α-Stable自相似随机过程的通信网业务量建模

Network Traffic Modeling Based on α-Stable Self-Similar Stochastic Processes

针对现代通信网业务量在幅度和时间尺度上的突发特性,提出了一种综合稳定分布和高斯自相似分布的模型,即基于α-Stable自相似过程的模型来同时反映业务量的两种突发特性,并通过仿真证明了它非常适合于现代通信网的业务量.该模型可以根据不同的性能需要来产生相应的模拟业务量,从而对网络业务量性能相关的研究有一定的实用价值.

Aiming at the burst capability in extent and time, the article proposed a model for network heavy-traffic approximation, based on α-stable self-similar processes, which integrates stable distributing and Gauss self-similar distributing. The simulations show that the model fits to modern network traffic. The model can generate the corresponding simulated traffic based on different capability, which is helpful to the relevant research of network traffic.