CONDITIONAL FAULT DIAGNOSABILITY OF DUAL-CUBES

被引:22
作者
Zhou, Shuming [1 ]
Chen, Lanxiang [2 ]
Xu, Jun-Ming [3 ,4 ]
机构
[1] Fujian Normal Univ, Key Lab Network Secur & Cryptol, Fuzhou 350007, Fujian, Peoples R China
[2] Fujian Normal Univ, Sch Math & Comp Sci, Fuzhou 350007, Fujian, Peoples R China
[3] Univ Sci & Technol China, Sch Math Sci, Hefei 230026, Anhui, Peoples R China
[4] Wentsun Wu Key Lab CAS, Hefei 230026, Anhui, Peoples R China
关键词
Fault tolerance; comparison diagnosis; conditional diagnosability; dual-cubes; MAXIMAL CONNECTED COMPONENT; HYPERCUBE; GRAPHS; DIAGNOSIS; SUPER;
D O I
10.1142/S0129054112500256
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The growing size of the multiprocessor system increases its vulnerability to component failures. It is crucial to locate and replace the faulty processors to maintain a system's high reliability. The fault diagnosis is the process of identifying faulty processors in a system through testing. This paper shows that the largest connected component of the survival graph contains almost all of the remaining vertices in the dual-cube DC when the number of faulty vertices is up to twice or three times of the traditional connectivity. Based on this fault resiliency, this paper determines that the conditional diagnosability of DC, (n >= 3) under the comparison model is 3n-2, which is about three times of the traditional diagnosability.
引用
收藏
页码:1729 / 1747
页数:19
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