Structural analysis of network traffic matrix via relaxed principal component pursuit

The network traffic matrix is widely used in network operation and management. It is therefore of crucial importance to analyze the components and the structure of the network traffic matrix, for which several mathematical approaches such as Principal Component Analysis (PCA) were proposed. In this...

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Vydáno v:	Computer networks (Amsterdam, Netherlands : 1999) Ročník 56; číslo 7; s. 2049 - 2067
Hlavní autoři:	Wang, Zhe, Hu, Kai, Xu, Ke, Yin, Baolin, Dong, Xiaowen
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Amsterdam Elsevier B.V 03.05.2012 Elsevier Sequoia S.A
Témata:	Accelerated proximal gradient algorithm Algorithms Analysis Grammatical aspect Iterative methods Matrices Matrix Network measurement Networks Noise Pollution Principal components analysis Relaxed principal component pursuit Robust principal component analysis Structural analysis Studies Traffic Traffic flow Traffic matrix structural analysis Traffic matrix structural analysis Robust principal component analysis Network measurement Accelerated proximal gradient algorithm Relaxed principal component pursuit
ISSN:	1389-1286, 1872-7069
On-line přístup:	Získat plný text
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