共 27 条
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.
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页码:81 / 91
页数:11
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