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Diagnosability of Bubble-Sort Star Graphs with Missing Edges

机译:缺失边缘的泡沫分类星形图的诊断性

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The diagnosability of a multiprocessor system plays an important role. The bubble-sort star graph BS_n has many good properties. In this paper, we study the diagnosis on BS_n under the comparison model. Following the concept of the local diagnosability, the strong local diagnosability property is discussed. This property describes the equivalence of the local diagnosability of a node and its degree. We prove that BS_n (n ≥ 5) has this property, and it keeps this strong property even if there exist (2n - 5) missing edges in it, and the result is optimal with respect to the number of missing edges.
机译:多处理器系统的诊断性起着重要作用。泡沫排序星形图BS_N具有许多良好的特性。在本文中,我们在比较模型下研究了BS_N的诊断。在本地诊断性的概念之后,讨论了强大的本地诊断性质。此属性描述了节点的本地诊断的等价性及其学位。我们证明了BS_N(N≥5)具有此属性,即使存在(2N - 5)中缺少的边缘,它也会保持这种强大的财产,结果对于缺少边缘的数量而言,结果是最佳的。

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