基于矩母函数的端到端网络统计时延上界研究

End-to-End Network Statistical Time Delay Bounds Research Based on Moment Generating Function

为分析网络中自相似业务的时延性能,运用矩母函数和有效带宽等理论,重新表征网络演算中到达包络和有效服务曲线,提出基于矩母函数形式的时延上界,利用相关理论建立并推导适应于自相似业务的端到端统计时延上界模型。数值分析结果表明,该模型能提高统计复用,对分型布朗运动业务性能评价具有较好的适应性。

In order to analyze the delay performance of self-similar traffic,this paper newly expresses the arrival envelope and effective service curve using the theorem of the Moment Generating Function（MGF） and effective bandwidth,and a novel probabilistic concept with MGF is proposed.Based on the corresponding theory,the end-to-end statistical time delay bounds for self-similar traffic is modeled.Numerical analysis results show that the model largely improves statistical multiplexing,and performance evaluation on the Fractional Brownian Motion（FBM） business has better adaptability.