Presentation 2010/6/11
Probabilistic Fault Diagnosis in Large Scale Multicomputer Systems
Manabu KOBAYASHI, Toshinori TAKABATAKE, Shinya AMANO, Shigeichi HIRASAWA,
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Abstract(in English) F.P.Preparata et al. have proposed a fault diagnosis model to find all fault nodes in the multiprocessor system by using outcomes which each of nodes tests some other nodes. In this paper, for probabilistic diagnosis models, we show an efficient diagnosis algorithm to obtain a posteriori probability that each of nodes is faulty given the syndrome. Furthermore, we propose a method to analyze the diagnostic error probability of this algorithm.
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Keyword(in English) multicomputer systems / system-level fault diagnosis / probablistic fault diagnosis / intermittent faults / density evolution
Paper # NC2010-23,NLP2010-23
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Committee NC
Conference Date 2010/6/11(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Probabilistic Fault Diagnosis in Large Scale Multicomputer Systems
Sub Title (in English)
Keyword(1) multicomputer systems
Keyword(2) system-level fault diagnosis
Keyword(3) probablistic fault diagnosis
Keyword(4) intermittent faults
Keyword(5) density evolution
1st Author's Name Manabu KOBAYASHI
1st Author's Affiliation Department of Information Science, School of Engineering, Shonan Institute of Technology()
2nd Author's Name Toshinori TAKABATAKE
2nd Author's Affiliation Department of Information Science, School of Engineering, Shonan Institute of Technology
3rd Author's Name Shinya AMANO
3rd Author's Affiliation Department of Information Science, School of Engineering, Shonan Institute of Technology
4th Author's Name Shigeichi HIRASAWA
4th Author's Affiliation Fuculty of Information Technology and Business, Cyber University
Date 2010/6/11
Paper # NC2010-23,NLP2010-23
Volume (vol) vol.110
Number (no) 83
Page pp.pp.-
#Pages 6
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