Fault diagnosability of data center networks

被引:22
作者
Gu, Mei-Mei [1 ]
Hao, Rong-Xia [1 ]
Zhou, Shuming [2 ]
机构
[1] Beijing Jiaotong Univ, Dept Math, Beijing 100044, Peoples R China
[2] Fujian Normal Univ, Sch Math & Comp Sci, Fuzhou 350108, Fujian, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Data center network; g-good-neighbor diagnosability; PMC model; MM* model; Fault-tolerance; NEIGHBOR CONDITIONAL DIAGNOSABILITY; 2-GOOD-NEIGHBOR DIAGNOSABILITY; MULTIPROCESSOR SYSTEMS; DIAGNOSIS; (N; HYPERCUBES; GRAPHS;
D O I
10.1016/j.tcs.2019.01.020
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
A kind of generalization of diagnosability for a network G is g-good-neighbor diagnosability which is denoted by t(g)(G). Let K-g(G) be the R-g-connectivity. Lin et al. (2016) [17] and Xu et al. (2017) [29] gave the same problem independently that: the relationship between the R-g-connectivity K-g(G) and t(g)(G) of a general graph G needs to be studied in the future. In this paper, this open problem is solved for general regular graphs. We firstly establish the relationship of K-g(G) and t(g)(G), and obtain that t(g)(G) = K-g(G) + g under some conditions. Secondly, we obtain the g-good-neighbor diagnosability of data center network D-k,D-n which are t(g)(D-k,D-n) = (g +1)(k - 1) + n + g for 1 <= g <= n - 1 under the PMC model and the MM* model, respectively. Furthermore, we show that D-k,D-n is tightly super (n + k - 1)-connected for n >= 2 and k >= 2 and we also prove that the largest connected component of the survival graph contains almost all of the remaining vertices in D-k,D-n when n + 2k - 2 vertices removed. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页码:138 / 147
页数:10
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