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The 2-good-neighbour diagnosability of modified bubble-sort graphs under the PMC and MM* model

机译:PMC和MM *模型下修改的气泡排序图的2良邻近诊断性

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The study of interconnection networks is a hot topic for multiprocessor systems. Diagnosability plays an important role in the study of interconnection networks. A new measure for fault diagnosis of a system is proposed by Peng et?al. in 2012. It is called g -good-neighbour diagnosability which restrains every fault-free vertex containing at least g fault-free neighbours. The n -dimensional modified bubble-sort graph M B n is a special Cayley graph. In this paper, we give that the 2-good-neighbour diagnosability of M B n under the PMC model is 4n ?5 for n ≥ 4 and the 2-good-neighbour diagnosability of M B n under the M M ? model is 4n ?5 for n ≥ 4 .
机译:对互连网络的研究是多处理器系统的热门话题。诊断性在互连网络的研究中起着重要作用。彭·et?al提出了一种新的故障诊断措施。 2012年。它被称为 g-good邻居诊断,其限制了至少包含至少 g无故障邻居的每个无故障顶点。 n长度修改的气泡 - 排序图M B n是特殊的Cayley图。在本文中,我们给出了在 PMC模型下的MB N的2-GEED邻近诊断性为N≥4的4 N?5,并且MM下的MB N的2良邻诊断性?型号为4 n≥5,用于n≥4。

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