<p>The diagnosability is an important measure of the reliability of a multiprocessor system. Multiprocessor systems usually take interconnection networks (or graphs) as underlying topologies, and the <i>n</i>-dimensional star graph <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(S_{n}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>S</mi> <mi>n</mi> </msub> </math></EquationSource> </InlineEquation> is one of the most attractive interconnection networks of large scale multiprocessor systems. In order to better measure the reliability of a system, Zhang et al. introduced the non-inclusive <i>h</i>-extra diagnosability, which requires each component has at least <InlineEquation ID="IEq2"> <EquationSource Format="TEX">\(h+1\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>h</mi> <mo>+</mo> <mn>1</mn> </mrow> </math></EquationSource> </InlineEquation> vertices after removing the fault vertex set. In this paper, we determine the non-inclusive <i>h</i>-extra diagnosability of star graphs under the <i>PMC</i> model and <InlineEquation ID="IEq3"> <EquationSource Format="TEX">\(MM^{*}\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>M</mi> <mmultiscripts> <mi>M</mi> <mrow /> <mrow> <mrow /> <mo>∗</mo> </mrow> </mmultiscripts> </mrow> </math></EquationSource> </InlineEquation> model, where <InlineEquation ID="IEq4"> <EquationSource Format="TEX">\(h=1,2,3\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>h</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mn>2</mn> <mo>,</mo> <mn>3</mn> </mrow> </math></EquationSource> </InlineEquation>.</p>

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The non-inclusive h-extra diagnosability of star graphs

  • Ting Tian,
  • Shumin Zhang,
  • He Li

摘要

The diagnosability is an important measure of the reliability of a multiprocessor system. Multiprocessor systems usually take interconnection networks (or graphs) as underlying topologies, and the n-dimensional star graph \(S_{n}\) S n is one of the most attractive interconnection networks of large scale multiprocessor systems. In order to better measure the reliability of a system, Zhang et al. introduced the non-inclusive h-extra diagnosability, which requires each component has at least \(h+1\) h + 1 vertices after removing the fault vertex set. In this paper, we determine the non-inclusive h-extra diagnosability of star graphs under the PMC model and \(MM^{*}\) M M model, where \(h=1,2,3\) h = 1 , 2 , 3 .