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Graph wavelets for fault localization in optical mesh networks

机译:Graph wavelets for fault localization in optical mesh networks

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摘要

? 2022 Elsevier Inc.EONs (Elastic Optical Networks) form the backbone of web-scale cloud infrastructure. These networks should deal with network faults and restoration in real-time with high accuracy and scalability. Thus, fault management functions to detect and localize such failures, play a critical role in modern day EONs. Network impairments are complex in nature in optical networks such as fiber losses, NLI (Non Linear Impairments) and ASE (Amplified Stimulated Emission). Currently, pre-engineered thresholds are used to detect failures in optical networks. Traditional alarm correlation strategies fail in the face of these static threshold settings. In this work, we introduce a real-time fault detection and localization mechanism, which is agnostic to such pre-engineered threshold settings. We apply multi-resolution analysis based on graph wavelets to address fault detection and localization problems. Thus, we propose to use spectrograms and wavelet coefficients to identify the irregularities in an otherwise smooth graph signal. We present a real-time fault localization analysis based on a novel Wavelet Coefficients Trail (WCT) algorithm to root-cause a client signal failure due to OSNR (Optical Signal to Noise Ratio) degradation. We apply the proposed techniques and algorithms to simulated and actual network data. Our results indicate that the proposed methods can root-cause OSNR degradation to major/minor deviations in received power on optical spans. In conclusion, we present a fault localization framework based on graph wavelets in optical mesh networks.

著录项

  • 来源
    《Optical fiber technology》 |2022年第9期|1.1-1.16|共16页
  • 作者

    Prakash A.; Kar S.;

  • 作者单位

    Department of Electrical Engineering Indian Institute of Technology;

    Department of Electrical Engineering Indian Institute of TechnologyDepartment of Electrical Engineering Indian Institute of Technology||Ciena Inc.||;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 英语
  • 中图分类
  • 关键词

    Graph Fourier Transform; Graph Laplacian; Spectrograms; Wavelets;

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