非平稳网络链路延迟率估计过程仿真分析

发布时间：2018-07-03 15:34

本文选题：非平稳网络 + 链路　；参考：《计算机仿真》2013年06期

【摘要】：研究非平稳网络链路延迟率准确估计问题。由于网络的规模越来越大,复杂性越来越高。传统方法通常通过网络内部节点协作获取网络内部性能参数,但是,节点的差异性会给算法的协作过程带来冲突,造成节点协作过程中的相互抵制,从而导致传统方法在非平稳网络链路延迟率估计中失效。提出了一种网络层析成像优化的网络延迟计算方法。在算法基础上根据源节点和目标节点的相关信息建立树结构,计算非平稳网络链路数据传输概率,克服不平稳造成的冲突。再利用网络层析成像优化方法,对链路的延迟率进行估计。实验结果表明,利用改进算法进行非平稳网络链路延迟率估计,能够提高网络链路延迟率估计的准确性,为网络性能评估提供准确的依据。
[Abstract]:The problem of accurate estimation of link delay rate in nonstationary networks is studied. As the scale of the network becomes larger and larger, the complexity becomes more and more high. The traditional methods usually obtain the internal performance parameters of the network by the cooperation of the nodes inside the network. However, the differences of the nodes will bring conflicts to the cooperation process of the algorithms, resulting in the resistance of the nodes in the process of cooperation. This results in the failure of the traditional method in the estimation of the link delay rate in non-stationary networks. A network delay calculation method for network tomography optimization is proposed. On the basis of the algorithm, the tree structure is established according to the relevant information of the source node and the target node, and the probability of data transmission in the non-stationary network link is calculated to overcome the conflict caused by the non-stationary network. Then the delay rate of the link is estimated by using the network tomography optimization method. Experimental results show that the improved algorithm can improve the accuracy of network link delay rate estimation and provide an accurate basis for network performance evaluation.
【作者单位】：广东工业大学计算机学院;
【分类号】：TP393.0

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