On the diagnosing algorithm for networks

An example is given for which the diagnosing algorithm for networks, proposed by T. Kameda, S. Toida and F. J. Allan, fails to compute the correct system diagnosis. A correction of the algorithm is described.

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Vydáno v:International journal of computer mathematics Ročník 74; číslo 1; s. 1 - 3
Hlavní autoři: Biasizzo, Anton, Novak, Franc
Médium: Journal Article
Jazyk:angličtina
Vydáno: Abingdon Gordon and Breach Science Publishers 01.01.2000
Taylor and Francis
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ISSN:0020-7160, 1029-0265
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Abstract An example is given for which the diagnosing algorithm for networks, proposed by T. Kameda, S. Toida and F. J. Allan, fails to compute the correct system diagnosis. A correction of the algorithm is described.
AbstractList The diagnostic algorithm for networks proposed by Kameda, Toida, and Allan is one of the frequently cited fault identification algorithms for one-step t-fault diagnosable systems of the Preparata, Metze, and Chien (PMC) model. This work not only points the inconsistency in the description of the algorithm, but also presents the correction. The correction may be of interest to the programmers implementing algorithms for diagnosis of multi-chip-modules or multiprocessor systems.
An example is given for which the diagnosing algorithm for networks, proposed by T. Kameda, S. Toida and F. J. Allan, fails to compute the correct system diagnosis. A correction of the algorithm is described.
Author Biasizzo, Anton
Novak, Franc
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Cites_doi 10.1016/S0019-9958(75)90508-2
10.1109/PGEC.1967.264748
10.1109/12.45205
10.1109/TEST.1995.529835
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Keywords Fault tolerance
Diagnosis
Distributed system
Algorithm
Network
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Snippet An example is given for which the diagnosing algorithm for networks, proposed by T. Kameda, S. Toida and F. J. Allan, fails to compute the correct system...
The diagnostic algorithm for networks proposed by Kameda, Toida, and Allan is one of the frequently cited fault identification algorithms for one-step t-fault...
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SubjectTerms Applied sciences
Computer science; control theory; systems
Computer systems and distributed systems. User interface
diagnosis
Distributed systems
Exact sciences and technology
F.2.2
fault-tolerance
nonnumerical algorithms and problems
Software
Title On the diagnosing algorithm for networks
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