An Improved Traffic Matrix Decomposition Method with Frequency-Domain Regularization

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概要

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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.

著者

• WANG Zhe

  State Key Laboratory of Software Development Environment, the School of Computer Science and Engineering, Beihang University

• HU Kai

  State Key Laboratory of Software Development Environment, the School of Computer Science and Engineering, Beihang University

• YIN Baolin

  State Key Laboratory of Software Development Environment, the School of Computer Science and Engineering, Beihang University

関連論文

• An Improved Traffic Matrix Decomposition Method with Frequency-Domain Regularization

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