面向动态业务的光网络信息失真机理及其影响分析

Mechanism of information distortion and its impact on optical networks for dynamic traffics

为了有效抑制分布式光网络动态特性对网络性能的影响,提升频谱资源利用率,该文基于分布式网络噪声(DNN)的概念和数学模型,提出了一种定量分析动态特性影响网络性能的方法。该方法首先分析了信息失真产生的机理;然后针对业务到达过程及网络服务机制的统计特性,建立了动态特性引发信令阻塞的模型,揭示了信息失真影响网络性能的规律。研究结果表明:业务原始到达率越高,网络信息失真程度越高且信令阻塞率越大。实验结果与理论模型高度匹配,验证了模型的有效性。

The impact of the network dynamics on network performance was analyzed to develop a distributed network noise （DNN） concept to efficiently suppress the effects of the network dynamics and increase the spectrum utilization. The analysis analyzes the mechanism of how information distortion influences the network performance. An analytical signaling blocking model is developed based on the DNN to indicate the influence of information distortion. The results show that the information distortion as well as the blocking probability increase with increasing origin arrival rate. The estimates derived from the analytical model agree well with experimental results.