@inproceedings{23e0ef00608a432db76d109599ae84bc,
title = "Diffusion wavelets-based analysis on traffic matrices",
abstract = "Traffic matrix describes the traffic volumes traversing the network from the input nodes to the exit nodes over a measured period. Such a matrix is very hard, if not intractable, to be obtained for a large network. We apply a new technique to analyze the traffic matrix by use of diffusion wavelet in this paper. It is shown that diffusion wavelet can do an efficient multi-resolution analysis on TM. The original TM can be reconstructed by choosing the diffused traffic in a particular level. This paper also shows there are a lot of potential applications by use of diffusion wavelet-based analysis on traffic matrix.",
keywords = "Diffusion wavelets, Inference, Reconstruction, Traffic matrix",
author = "Hui Tian and Matthew Roughan and Yingpeng Sang and Hong Shen",
year = "2011",
doi = "10.1109/PDCAT.2011.35",
language = "English",
isbn = "9780769545646",
series = "Parallel and Distributed Computing, Applications and Technologies, PDCAT Proceedings",
pages = "116--121",
booktitle = "Proceedings - 2011 12th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2011",
note = "2011 12th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2011 ; Conference date: 20-10-2011 Through 22-10-2011",
}