摘要: 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。
关键词:
Joseph效应,
Noah效应,
分数高斯噪声,
分数利维噪声,
通信量模型
Abstract: 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.
Key words:
Joseph effect,
Noah effect,
fractional Gaussian noise(FGN),
fractional Levy noise(FLN),
teletraffic model
中图分类号:
张连明;陈志刚;邓晓衡;赵 明. 基于FGN和FLN的网络通信量模型FGLN[J]. 计算机工程, 2007, 33(13): 43-45.
ZHANG Lianming; CHEN Zhigang; DENG Xiaoheng; ZHAO Ming. Network Teletraffic Model FGLN Based on FGN and FLN[J]. Computer Engineering, 2007, 33(13): 43-45.