The g-good-neighbor conditional diagnosability of n-dimensional hypercubes under the MM model

被引:53
作者
Wang, Shiying [1 ]
Han, Weiping [1 ]
机构
[1] Henan Normal Univ, Sch Math & Informat Sci, Henan Engn Lab Big Data Stat Anal & Optimal Contr, Xinxiang 453007, Henan, Peoples R China
基金
美国国家科学基金会;
关键词
Interconnection network; Combinatorial problems; Diagnosability; Hypercube; LARGE MULTIPROCESSOR SYSTEMS;
D O I
10.1016/j.ipl.2016.04.005
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Diagnosability of a multiprocessor system is one important study topic. In 2012, Peng et al. proposed a new measure for fault diagnosis of the system, which is called g-good-neighbor conditional diagnosability that restrains every fault-free node containing at least g fault-free neighbors. As a famous topology structure of interconnection networks, the n-dimensional hypercube has many good properties. In this paper, we give the g-good-neighbor conditional diagnosability of the n-dimensional hypercube under the MM* model. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:574 / 577
页数:4
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