论文部分内容阅读
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。
In order to effectively suppress the impact of dynamic characteristics of distributed optical networks on network performance and improve the utilization of spectrum resources, this paper proposes a method for quantitatively analyzing the influence of dynamic characteristics on network performance based on the concept and mathematical model of distributed network noise (DNN) . The method first analyzes the mechanism of information distortion. Then, according to the statistical characteristics of service arrival process and network service mechanism, a model of dynamic characteristic induced signaling congestion is established, which reveals the law of information distortion affecting network performance. The results show that the higher the original arrival rate of business, the higher the network information distortion and the higher the signaling blocking rate. The experimental results are highly matched with the theoretical model, which verifies the validity of the model.