超Petersen图的r-额外可诊断性

Shiying Wang
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引用次数: 0

摘要

多处理机系统或互连网络的可诊断性是衡量网络容错能力的重要指标。2016年,Zhang等人提出了一种新的系统故障诊断度量,即[公式:见文]-额外可诊断性,它约束每个无故障组件至少有[公式:见文]个无故障节点。超Petersen图[公式:见文]是著名的互连网络拓扑结构,具有许多优良的性质。互连网络的额外可诊断性是很难证明的。在本文中,我们证明了[公式:见文]-[公式:见文]的额外可诊断性对于PMC模型中的[公式:见文]和[公式:见文],以及对于MM[公式:见文]模型中的[公式:见文]和[公式:见文]是[公式:见文]。
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The r-Extra Diagnosability of Hyper Petersen Graphs
The diagnosability of a multiprocessor system or an interconnection network plays an important role in measuring the fault tolerance of the network. In 2016, Zhang et al. proposed a new measure for fault diagnosis of the system, namely, the [Formula: see text]-extra diagnosability, which restrains that every fault-free component has at least [Formula: see text] fault-free nodes. As a famous topology structure of interconnection networks, the hyper Petersen graph [Formula: see text] has many good properties. It is difficult to prove the [Formula: see text]-extra diagnosability of an interconnection network. In this paper, we show that the [Formula: see text]-extra diagnosability of [Formula: see text] is [Formula: see text] for [Formula: see text] and [Formula: see text] in the PMC model and for [Formula: see text] and [Formula: see text] in the MM[Formula: see text] model.
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