The conditional diagnosability of MÖbius cubes under the comparison model

Shuming Zhou
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引用次数: 12

Abstract

The growing size of the multiprocessor systems increases their vulnerability to component failures. It is crucial to locate and to replace the fault processors to maintain system's high reliability. The fault diagnosis is the process of identifying fault processors in a system through testing. The conditional diagnosis requires that for each processor v in a system, all the processors that are directly connected to v do not fail at the same time. In this paper, the conditional diagnosability of the MÖbius cubes MQn under the comparison diagnosis model is 3n−5 when n≥7. Hence the conditional diagnosability of MQn is three times larger than its classical diagnosability.
比较模型下MÖbius数据集的条件可诊断性
越来越大的多处理器系统增加了它们对组件故障的脆弱性。故障处理器的定位和更换是保证系统高可靠性的关键。故障诊断是通过测试识别系统中的故障处理器的过程。条件诊断要求对于系统中的每个处理器v,所有直接连接到v的处理器不能同时发生故障。在本文中,当n≥7时,比较诊断模型下MÖbius多维数据集MQn的条件可诊断性为3n−5。因此MQn的条件可诊断性是其经典可诊断性的三倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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