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Erschienen in: The Journal of Supercomputing 3/2013

01.09.2013

Conditional diagnosability of balanced hypercubes under the MM model

verfasst von: Ming-Chien Yang

Erschienen in: The Journal of Supercomputing | Ausgabe 3/2013

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Abstract

Fault diagnosis plays an important role in ensuring the reliability of a massive multiprocessor system. Diagnosability of a system is the maximum number of faulty nodes guaranteed to be identified during the diagnosis process, and thus is a critical metric to the reliability of the system. To have a greater number of identified faulty nodes, a new measure called conditional diagnosability for fault diagnosis was introduced, which has a normally used assumption. This paper addresses the conditional diagnosability of balanced hypercubes under the MM model, which is a realistic model to the fault diagnosis of a system. We show that the conditional diagnosability of the n-dimensional balanced hypercube is 4n−4 for n≥2.

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Metadaten
Titel
Conditional diagnosability of balanced hypercubes under the MM∗ model
verfasst von
Ming-Chien Yang
Publikationsdatum
01.09.2013
Verlag
Springer US
Erschienen in
The Journal of Supercomputing / Ausgabe 3/2013
Print ISSN: 0920-8542
Elektronische ISSN: 1573-0484
DOI
https://doi.org/10.1007/s11227-013-0882-2

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