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Probabilistic fault localization with sliding windows

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Abstract

Fault localization is a central element in network fault management. This paper takes a weighted bipartite graph as a fault propagation model and presents a heuristic fault localization algorithm based on the idea of incremental coverage, which is resilient to inaccurate fault propagation model and the noisy environment. Furthermore, a sliding window mechanism is proposed to tackle the inaccuracy of this algorithm in the presence of improper time windows. As shown in the simulation study, our scheme achieves higher detection rate and lower false positive rate in the noisy environment as well as in the presence of inaccurate windows, than current fault localization algorithms.

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Authors and Affiliations

  1. School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, 100044, China

    Cheng Zhang

  2. State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, 100876, China

    Cheng Zhang, JianXin Liao & XiaoMin Zhu

  3. EBUPT Information Technology Co. Ltd., Beijing, 100191, China

    JianXin Liao & XiaoMin Zhu

  4. Computer Science Department, Technical University of Madrid, Madrid, 28660, Spain

    TongHong Li

Authors
  1. Cheng Zhang
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  2. JianXin Liao
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  3. TongHong Li
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  4. XiaoMin Zhu
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Correspondence to JianXin Liao.

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Zhang, C., Liao, J., Li, T. et al. Probabilistic fault localization with sliding windows. Sci. China Inf. Sci. 55, 1186–1200 (2012). https://doi.org/10.1007/s11432-012-4567-x

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  • DOI: https://doi.org/10.1007/s11432-012-4567-x

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