An Improved Traffic Matrix Decomposition Method with Frequency Domain Regularization

Details An Improved Traffic Matrix Decomposition Method with Frequency Domain Regularization An Improved Traffic Matrix Decomposition Method with Frequency Domain Regularization

2012-03-16

arxiv.org/abs/1203.3623v1

Computer Science

Networking and Internet Architecture

4 pages

Scientific paper

In this letter, we propose a novel network traffic matrix decomposition method named as Stable Principal Component Pursuit with Frequency Domain Regularization (SPCP-FDR). SPCP-FDR improves the Stable Principal Component Pursuit (SPCP) method by using a new noise regularization function defined in frequency domain. Compared with SPCP, SPCP-FDR is more adaptive to empirical frequency properties of diverse traffic components. The Accelerated Proximal Gradient (APG) algorithm for SPCP-FDR is presented. Our experiment results demonstrate the rationality of this new method.

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