Diffusion wavelet-based analysis on traffic matrices by different diffusion operators

Hui Tian, Binze Zhong, Hong Shen

研究成果: Article同行評審

5 引文 斯高帕斯(Scopus)


Traffic matrix (TM) describes the traffic volumes traversing a network from the input nodes to the output nodes over a measured period. Such a TM contains very useful information for network managers, traffic engineers and users. However, TM is hard to be obtained and analyzed due to its large size, especially for large-scale networks. In this paper, we present a new method based on diffusion wavelets for analyzing the traffic matrix. It is shown that this method can conduct efficient multi-resolution analysis (MRA) on TM. We compare the analysis results by using different diffusion operators. Through reconstructing the original TM from the diffused traffic on a particular level, we show the high efficiency of this MRA tool based on these operators. We then develop an anomaly detection method based on the analysis results and explore the possibilities of other potential applications.

頁(從 - 到)1874-1882
期刊Computers and Electrical Engineering
出版狀態Published - 8月 2014


深入研究「Diffusion wavelet-based analysis on traffic matrices by different diffusion operators」主題。共同形成了獨特的指紋。