Diagnosing Large-Scale Failures in Computer Networks

نویسندگان

  • Srikar Tati
  • Bong Jun Ko
  • Guohong Cao
  • Ananthram Swami
  • Thomas La Porta
چکیده

In this paper, we propose an algorithm to efficiently diagnose large-scale clustered failures. The algorithm, Cluster-MAX-COVERAGE (CMC), is based on greedy approach. We address the challenge of determining faults with incomplete symptoms. CMC makes novel use of both positive and negative symptoms to output a hypothesis list with a low number of false negatives and false positives quickly. CMC requires reports from about half as many nodes as other existing algorithms to determine failures with 100% accuracy. Moreover, CMC accomplishes this gain significantly faster (sometimes by two orders of magnitude) than an algorithm that matches its accuracy. Keywords-Fault diagnosis; Large-scale failures; Incomplete information; Clustered failures

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تاریخ انتشار 2012