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Improved Precise Fault Diagnosis Algorithm for Hypercube-Like Graphs

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Combinatorial Optimization and Applications (COCOA 2016)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10043))

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Abstract

The system reliability is an important issue for multiprocessor systems. The fault diagnosis has become crucial for achieving high reliability in multiprocessor systems. In the comparison-based model, it allows a processor to perform diagnosis by contrasting the responses from a pair of neighboring processors through sending the identical assignment. Recently, Ye and Hsieh devised an precise fault diagnosis algorithm to detect all faulty processors for hypercube-like networks by using the MM* model with \(O(N(\log _{2}N)^2)\) time complexity, where N is the cardinality of processor set in multiprocessor systems. On the basis of Hamiltonian cycle properties, we improve the aforementioned results by presenting an O(N)-time precise fault diagnosis algorithm to detect all faulty processors for hypercube-like networks by using the MM* model.

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Authors and Affiliations

  1. Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, 701, Taiwan

    Tai-Ling Ye, Dun-Wei Cheng & Sun-Yuan Hsieh

  2. Institute of Medical Informatics, National Cheng Kung University, Tainan, 701, Taiwan

    Sun-Yuan Hsieh

Authors
  1. Tai-Ling Ye
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  2. Dun-Wei Cheng
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  3. Sun-Yuan Hsieh
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Corresponding author

Correspondence to Tai-Ling Ye .

Editor information

Editors and Affiliations

  1. University of Hong Kong, Hong Kong, China

    T-H. Hubert Chan

  2. City University of Hong Kong, Hong Kong, China

    Minming Li

  3. City University of Hong Kong, Hong Kong, China

    Lusheng Wang

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Ye, TL., Cheng, DW., Hsieh, SY. (2016). Improved Precise Fault Diagnosis Algorithm for Hypercube-Like Graphs. In: Chan, TH., Li, M., Wang, L. (eds) Combinatorial Optimization and Applications. COCOA 2016. Lecture Notes in Computer Science(), vol 10043. Springer, Cham. https://doi.org/10.1007/978-3-319-48749-6_8

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  • DOI: https://doi.org/10.1007/978-3-319-48749-6_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48748-9

  • Online ISBN: 978-3-319-48749-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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