首页> 外文会议>International Conference on Advanced Communication Technology >Network coordinate system using non-negative matrix factorization based on KL divergence
【24h】

Network coordinate system using non-negative matrix factorization based on KL divergence

机译:基于KL散度的基于非负矩阵分解的网络坐标系

获取原文

摘要

Network coordinate is used to predict the network delay between the network nodes, for the problem that the accuracy of predicting the network delay of the network coordinate system based on non-negative matrix factorization is low, proposing a new network coordinate system using non-negative matrix factorization based on KL divergence (KL-NMF). First, the advantages and disadvantages of classical algorithm for delay prediction of network coordinate system based on matrix factorization are analysed. Then, according to the characteristics of network link delay distributions, proposed a new network coordinate system based on KL-NMF algorithm and the algorithm flow. Experiment based on the four commonly used network delay matrix data set, and the results show that compared to the existing delay prediction algorithm based on NMF network coordinate system, the delay prediction algorithm based on KL-NMF network coordinate system not only reduce the error to reproduce delay matrix, but also improve the network node delay prediction accuracy.
机译:网络坐标用于预测网络节点之间的网络延迟,以解决基于非负矩阵分解的网络坐标系网络延迟的预测精度低的问题,提出了一种新的非负网络坐标系。基于KL散度的矩阵分解(KL-NMF)。首先,分析了经典的基于矩阵分解的网络坐标系延迟预测算法的优缺点。然后根据网络链路时延分布的特点,提出了一种基于KL-NMF算法的新的网络坐标系和算法流程。基于四种常用的网络时延矩阵数据集进行实验,结果表明,与现有的基于NMF网络坐标系的时延预测算法相比,基于KL-NMF网络坐标系的时延预测算法不仅将误差减小到重现延迟矩阵,也提高了网络节点的延迟预测精度。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号