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在PMC模型下单向k元n立方体的诊断度 被引量:1

Diagnosability of Unidirectional k-Ary n-Cubes Under PMC Model
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摘要 图的连通度和诊断度是与互连网络的可靠性密切相关的两个参数,而g好邻连通度和g好邻诊断度是比连通度和诊断度更精确的指标。k元n立方体是多处理机系统的最常用网络之一,而单向k元n立方体是指具有单向边的k元n立方体。证明了当k≥3,n≥3时,单向k元n立方体在PMC模型下的1好邻连通度是k(n-1),诊断度是n且1好邻诊断度是kn-1。 The connectivity and diagnosability of graphs are two parameters that are closely related to the reliability of interconnection networks.The g-good-neighbor connectivity and g-good-neighbor diagnosability are more accurate indexes than the connectivity and diagnosability.The k-ary n-cube is one of the most common interconnection networks for multiprocessor systems,and the unidirectional k-ary n-cube is the k-ary n-cube with simplex unidirectional links.This paper shows that the 1-good-neighbor connectivity,the diagnosability and the 1-good-neighbor diagnosability of the unidirectional k-ary n-cube under the PMC model are k(n-1),n and kn-1,respectively.
作者 张雯丽 林上为 李艺海 郭慧铃 ZHANG Wenli;LIN Shangwei;LI Yihai;GUO Huiling(School of Mathematical Sciences,Shanxi University,Taiyuan 030006,China)
出处 《计算机工程与应用》 CSCD 北大核心 2019年第4期62-65,111,共5页 Computer Engineering and Applications
基金 国家自然科学基金(No.61202017)
关键词 有向网络 单向k元n立方体 诊断度 连通度 PMC模型 directed network unidirectional k-ary n-cube diagnosability connectivity PMC model
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