Restricted connectivity and good-neighbor diagnosability of split-star networks

被引:16
作者
Lin, Limei [1 ,3 ]
Huang, Yanze [1 ,2 ]
Wang, Xiaoding [1 ,3 ]
Xu, Li [1 ,3 ]
机构
[1] Fujian Normal Univ, Coll Math & Informat, Fuzhou 350117, Fujian, Peoples R China
[2] Fujian Univ Technol, Sch Math & Phys, Fuzhou 350118, Fujian, Peoples R China
[3] Fujian Normal Univ, Key Lab Network Secur & Cryptol, Fuzhou 350007, Fujian, Peoples R China
基金
中国国家自然科学基金;
关键词
Good-neighbor diagnosability; Computer network reliability; Fault tolerance; Restricted connectivity; Split-star networks; ALTERNATING GROUP GRAPHS; CONDITIONAL DIAGNOSABILITY; CROSSED CUBES; PMC; DIAGNOSIS; (N;
D O I
10.1016/j.tcs.2020.04.015
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The restricted connectivity and the g-good-neighbor diagnosability are two important indicators of the robustness for a multi-processor system in presence of failing processors. The g-good-neighbor diagnosability of a graph guarantees that the number of fault-free neighbors of every fault-free vertex is greater or equal to g in the graph. We first establish the 3-restricted connectivity of an n-dimensional split-star network S-n(2). Then we propose the upper bound of the {1, 2, 3}-good-neighbor diagnosability of S-n(2), under the MM* model. Moreover, we show that when deleting two indistinguishable good-neighbor faulty vertex-sets from S-n(2), the remaining connected subgraph has no isolated vertex. Furthermore, we give a complete proof for the lower bound of the {1, 2, 3}-good-neighbor diagnosability of S-n(2), and prove that the lower and upper bounds of the {1, 2, 3}-good-neighbor diagnosability of S-n(2) are accurate. (C) 2020 Elsevier B.V. All rights reserved.
引用
收藏
页码:81 / 91
页数:11
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