An Improved Traffic Matrix Decomposition Method with Frequency-Domain Regularization

Zhe WANG  Kai HU  Baolin YIN  

IEICE TRANSACTIONS on Information and Systems   Vol.E96-D   No.3   pp.731-734
Publication Date: 2013/03/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.E96.D.731
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Information Network
traffic matrix,  stable principal component pursuit,  frequency-domain regularization,  iterative algorithm,  

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We propose a novel network traffic matrix decomposition method named Stable Principal Component Pursuit with Frequency-Domain Regularization (SPCP-FDR), which improves the Stable Principal Component Pursuit (SPCP) method by using a frequency-domain noise regularization function. An experiment demonstrates the feasibility of this new decomposition method.