An Improved Traffic Matrix Decomposition Method with Frequency-Domain Regularization

Zhe WANG, Kai HU, and Baolin YIN

 

SUMMARY:

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.

KEY WORDS:

Traffic Matrix, Stable Principal Component Pursuit, Frequency-Domain Regularization, Iterative Algorithm.

paper.pdf