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星型网络的故障诊断度与额外连通度研究

发布时间:2018-10-16 12:44
【摘要】:在研究超级计算机方面所取得的成就,已经成为了体现一个国家科技实力的重要指标。为了使超级计算机得到更高的处理能力,采用成千上万的处理单元来构建超级计算机,越来越多的处理单元使得超级计算机系统变得越来越复杂,规模也在不断扩大。面对日益复杂的超级计算机系统,如何有效地识别和定位故障结点和故障链路,成为了保障系统可靠性的重要工作。故障诊断度是网络故障诊断理论研究中一个非常重要的问题;而额外连通度则是衡量网络可靠性的一个重要参数。星型网络是一个非常有吸引力的规则互连网络。本文主要研究星型互连网络在PMC故障模式下的三种诊断度和2-额外连通度。对于一个n维星型网络Sn(n≥3),证明该网络的一步故障诊断度、t1/t1-诊断度和局部故障诊断度分别为n-1,2n-4和n-1。这些诊断度的提出,对星型互连网络的可靠性和容错性的研究具有重要的意义。对于星型互连网络Sn,本文证明了当n≥6时,k2(Sn)=λ2(Sn)=3n-7,即星型网络的2-额外点连通度和2-额外边连通度均为3n-7。采用2-额外点连通度和2-额外边连通度分析星型网络,不但可以肯定其容错能力极大提高,而且这样的容错能力具有极高的可靠性。因此,在评价星型网络的可靠性时,2-额外连通度比传统连通度更具优越性。
[Abstract]:The achievements in the study of supercomputers have become an important indicator of a country's scientific and technological strength. In order to make supercomputer have higher processing ability, thousands of processing units are used to build supercomputer. More and more processing units make supercomputer system become more and more complex, and the scale is expanding. In the face of increasingly complex supercomputer systems, how to effectively identify and locate fault nodes and fault links has become an important task to ensure the reliability of the system. The degree of fault diagnosis is a very important problem in the theoretical research of network fault diagnosis, and the extra connectivity is an important parameter to measure the reliability of the network. Star network is an attractive regular interconnection network. In this paper, three kinds of diagnostic degrees and 2-extra connectivity of star interconnection networks in PMC fault mode are studied. For an n-dimensional star network (Sn (n 鈮,

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