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Conditional diagnosability of bubble-sort star graphs. (English) Zbl 1329.05271

Summary: Diagnosability plays an important role in measuring the reliability of interconnection networks. Conditional faulty set is a special faulty set that does not contain all of neighbors of any vertex in a network. The conditional diagnosability is a metric that can give the maximum cardinality of the conditional faulty sets that the system is guaranteed to identify. This paper shows that the conditional diagnosability of the bubble-sort star graph BSnBSn under the MM model is \(6n-15\) for \(n\geq 6\) and under the PMC model is \(8n-21\) for \(n\geq 5\).

MSC:

05C82 Small world graphs, complex networks (graph-theoretic aspects)
68R10 Graph theory (including graph drawing) in computer science
68M15 Reliability, testing and fault tolerance of networks and computer systems
Full Text: DOI

References:

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