A comparison-based diagnosis algorithm tailored for crossed cube multiprocessor systems

Comparison-based diagnosis is an effective approach to system-level fault diagnosis. Under the Maeng–Malek comparison model (MM* model), Sengupta and Dahbura proposed an O( N 5) diagnosis algorithm for general diagnosable systems with N nodes. Thanks to lower diameter and better graph embedding capa...

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Veröffentlicht in:Microprocessors and microsystems 2005-05, Vol.29 (4), p.169-175
Hauptverfasser: Yang, Xiaofan, Megson, Graham M., Evans, David J.
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creator Yang, Xiaofan
Megson, Graham M.
Evans, David J.
description Comparison-based diagnosis is an effective approach to system-level fault diagnosis. Under the Maeng–Malek comparison model (MM* model), Sengupta and Dahbura proposed an O( N 5) diagnosis algorithm for general diagnosable systems with N nodes. Thanks to lower diameter and better graph embedding capability as compared with a hypercube of the same size, the crossed cube has been a promising candidate for interconnection networks. In this paper, we propose a fault diagnosis algorithm tailored for crossed cube connected multicomputer systems under the MM* model. By introducing appropriate data structures, this algorithm runs in O ( N log 2 2 N ) time, which is linear in the size of the input. As a result, this algorithm is significantly superior to the Sengupta–Dahbura's algorithm when applied to crossed cube systems.
doi_str_mv 10.1016/j.micpro.2004.08.002
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subjects Comparison model
Crossed cube
Diagnosis algorithm
System-level fault diagnosis
title A comparison-based diagnosis algorithm tailored for crossed cube multiprocessor systems
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