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The g-Good-Neighbor Conditional Diagnosabilities of Hypermesh Optical Interconnection Networks Under the PMC and Comparison Models
Processor fault diagnosis is intended to identify faulty processors of a multicomputer system, guaranteeing its high reliability and availability. The g -good-neighbor conditional diagnosability is a novel fault diagnosis method for various networks. Under the PMC model and comparison model, the g -...
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Published in: | International journal of foundations of computer science 2024-04, Vol.35 (3), p.313-325 |
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Main Authors: | , , , , |
Format: | Article |
Language: | English |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | Processor fault diagnosis is intended to identify faulty processors of a multicomputer system, guaranteeing its high reliability and availability. The
g
-good-neighbor conditional diagnosability is a novel fault diagnosis method for various networks. Under the PMC model and comparison model, the
g
-good-neighbor conditional diagnosabilities of hypermesh optical interconnection networks are determined, respectively. Directly applying the results, the
g
-good-neighbor conditional diagnosabilities of hypercubes are derived under the PMC and comparison models. |
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ISSN: | 0129-0541 1793-6373 |
DOI: | 10.1142/S0129054123500041 |