标题:
交叉立方体的1好邻连通度和诊断度The 1-Good-Neighbor Connectivity and Diagnosability of Crossed Cubes
作者:
马晓蕾, 王世英, 王贞化
关键字:
互连网络, 图, 诊断度, 交叉立方体Interconnection Network, Graph, Diagnosability, Crossed Cube
期刊名称:
《Advances in Applied Mathematics》, Vol.5 No.2, 2016-05-26
摘要:
连通度和诊断度是度量多处理器系统故障诊断能力的重要参数。2012年，Peng等提出了一个新的系统故障诊断方法，称为g好邻诊断度，它限制每个非故障顶点至少有g个非故障邻点。n维交叉立方体是超立方体的一个重要变形。本文证明了交叉立方体的1好邻连通度是2n – 2 (n ≥ 4)，又证明了交叉立方体在PMC模型下的1好邻诊断度是2n – 1 (n ≥ 4)和在MM*模型下的1好邻诊断度是2n – 1 (n ≥ 5)。
Connectivity and diagnosability are important parameters in measuring the fault diagnosis of multiprocessor systems. In 2012, Peng et al. proposed a new measure for fault diagnosis of the system, which is called g-good-neighbor diagnosability that restrains every fault-free node con-taining at least g fault-free neighbors. The n-dimensional crossed cube is an important variant of the hypercube. In this paper, we prove that the 1-good-neighbor connectivity of crossed cube is 2n − 2 for n ≥ 4, and the 1-good-neighbor diagnosability of crossed cube is 2n − 1 under the PMC model for n ≥ 4 and the MM* model for n ≥ 5.