基于FGN和FLN的网络通信量模型FGLN

Network Teletraffic Model FGLN Based on FGN and FLN

为了捕获大规模网络通信量的动力学行为特征,该文提出了一种基于分数高斯噪声和分数利维噪声的网络通信量新模型,给出了该模型参数的估计方法和通信量生成算法。仿真实验和对比分析表明,与其它经典通信量模型相比,新模型具有更好的性能,能够较好地捕获实际网络通信量的动力学行为特征,包括自相似性和冲激性。

To obtain the kinetic behavior characteristic of large-scale network teletraffic, this paper proposes a network teletraffic model based on fractional Gaussian noise （FGN） and fractional Levy noise （FLN）, and the corresponding algorithms of estimating the parameter and generating the teletraffic. Extensive simulation demonstrates that the model proposed better than other classical teletraffic models, and it can accurately obtain the kinetic behavior characteristic of real-world teletraffic, including self-similarity and impulsion.