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Efficient probe selection algorithms for fault diagnosis

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Abstract

Increase in the network usage for more and more performance critical applications has caused a demand for tools that can monitor network health with minimum management traffic. Adaptive probing has the potential to provide effective tools for end-to-end monitoring and fault diagnosis over a network. Adaptive probing based algorithms adapt the probe set to localize faults in the network by sending less probes in healthy areas and more probes in the suspected areas of failure. In this paper we present adaptive probing tools that meet the requirements to provide an effective and efficient solution for fault diagnosis for modern communication systems. We present a system architecture for adaptive probing based fault diagnosis tool and propose algorithms for probe selection to perform failure detection and fault localization. We compare the performance and efficiency of the proposed algorithms through simulation results.

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Authors and Affiliations

  1. Department of Computer and Information Sciences, University of Delaware, Newark, DE, 19716, USA

    Maitreya Natu, Adarshpal S. Sethi & Errol L. Lloyd

Authors
  1. Maitreya Natu
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  2. Adarshpal S. Sethi
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  3. Errol L. Lloyd
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Correspondence to Maitreya Natu.

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Prepared through collaborative participation in the Communications and Networks Consortium sponsored by the US Army Research Laboratory under the Collaborative Technology Alliance Program, Cooperative Agreement DAAD19-01-2-0011. The US Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation thereon.

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Natu, M., Sethi, A.S. & Lloyd, E.L. Efficient probe selection algorithms for fault diagnosis. Telecommun Syst 37, 109–125 (2008). https://doi.org/10.1007/s11235-008-9069-1

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