基于概率密度分布的骨干网网络流量特征研究
首发时间:2011-01-06
摘要:了解骨干网网络流量特征有助于提高网络性能分析,科学的进行网络规划设计。建立精确的网络流量仿真模型对设计高性能网络协议、高性能的网络设备、高效网络拓扑结构、流量预测、拥塞控制与负载均衡等均具有重要意义。本文提出了采用gamma分布对多个典型城域网链路的实际流量样本的概率密度分布曲线进行拟合。大量的实验证实,用gamma分布能够比较精确地反映骨干网网络流量的概率密度分布。
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The Research of the Possibility Density Distribution based Backbone Network Traffic
Abstract:An accurate backbone network traffic model is very important for designing an effective network topology and improving the performance of the network. In this paper,we discussed the possibilty density distribution of the backbone network traffic ,we found that gamma distribution could describ the traffic very well, and our conclusion was proved by the experiments result.
Keywords: computer network network traffic possibility density
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