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Science China Information Sciences

, Volume 55, Issue 5, pp 1186–1200 | Cite as

Probabilistic fault localization with sliding windows

  • Cheng Zhang
  • JianXin Liao
  • TongHong Li
  • XiaoMin Zhu
Research Paper

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.

Keywords

fault management fault diagnosis fault localization fault propagation model time windows incremental coverage 

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Copyright information

© Science China Press and Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Cheng Zhang
    • 1
    • 2
  • JianXin Liao
    • 2
    • 3
  • TongHong Li
    • 4
  • XiaoMin Zhu
    • 2
    • 3
  1. 1.School of Electronic and Information EngineeringBeijing Jiaotong UniversityBeijingChina
  2. 2.State Key Laboratory of Networking and Switching TechnologyBeijing University of Posts and TelecommunicationsBeijingChina
  3. 3.EBUPT Information Technology Co. Ltd.BeijingChina
  4. 4.Computer Science DepartmentTechnical University of MadridMadridSpain

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