文章基本信息

标题：Analyzing Spatiotemporal Characteristics of Education Network Traffic with Flexible Multiscale Entropy
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作者：Chen Yang ; Renjie Zhou ; Jian Wan 等
期刊名称：International Journal of Grid and Distributed Computing
印刷版ISSN：2005-4262
出版年度：2016
卷号：9
期号：5
页码：303-312
DOI：10.14257/ijgdc.2016.9.5.26
出版社：SERSC
摘要：In this paper, we propose an analysis method of spatial and temporal characteristics of education network traffic based on flexible multiscale entropy (FMSE). As an improved method, flexible multiscale entropy has a significant improvement in stability and accuracy over multiscale entropy (MSE). We analyze network traffic in different time scales, space scales and traffic levels by building network traffic time-space analysis model and using flexible multiscale entropy as a method to quantify complexity of different network traffic subsequences. The results show that there are distinct characteristics in the complexity of different levels of network traffic. We also find that the existence of a large number of small network traffic flows has a significant influence on the complexity of network traffic.
关键词：education network; network traffic; flow; multiscale entropy; flexible multiscale entropy; spatiotemporal scale transformation