An Improved Traffic Matrix Decomposition Method with Frequency-Domain Regularization

TL;DR

This paper introduces SPCP-FDR, an enhanced traffic matrix decomposition technique that incorporates frequency-domain regularization to improve accuracy and robustness in network traffic analysis.

Contribution

The paper presents a novel frequency-domain regularization approach integrated into SPCP, advancing traffic matrix decomposition methods.

Findings

Demonstrates improved decomposition accuracy

Validates feasibility through experiments

Enhances robustness against noise

Abstract

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.