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The g-good-neighbor conditional diagnosability of the crossed cubes under the PMC and MM* model
被引:17
作者:
Guo, Jia
[1
]
Li, Desai
[2
]
Lu, Mei
[2
]
机构:
[1] Northwest A&F Univ, Coll Sci, Inst Appl Math, Yangling 712100, Shaanxi, Peoples R China
[2] Tsinghua Univ, Dept Math Sci, Beijing 100084, Peoples R China
基金:
中国国家自然科学基金;
关键词:
Interconnection networks;
g-good-neighbor conditional diagnosability;
PMC model;
MM* model;
Crossed cube;
MULTIPROCESSOR SYSTEMS;
CONNECTIVITY;
DIAGNOSIS;
TREES;
D O I:
10.1016/j.tcs.2018.06.046
中图分类号:
TP301 [理论、方法];
学科分类号:
081202 ;
摘要:
The significant increase in the number of processors of the multiprocessor system increases its vulnerability to component failures. Diagnosability is an important indicator in measuring the reliability of interconnection networks. The g-good-neighbor conditional faulty set is a faulty set that each fault-free vertex is adjacent to at least g fault-free vertices. The g-good-neighbor conditional diagnosability gives the maximum cardinality of g-good-neighbor conditional faulty set that the system is guaranteed to identify. This paper we establish the g-good-neighbor conditional diagnosability of the crossed cube CQ(n) under the PMC and MM* model. (C) 2018 Elsevier B.V. All rights reserved.
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页码:81 / 88
页数:8
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