Hybrid Fault Diagnosis Capability Analysis of Highly Connected Graphs

被引:2
|
作者
Wei, Yulong [1 ]
Li, Rong-Hua [2 ]
Yang, Weihua [1 ]
机构
[1] Taiyuan Univ Technol, Dept Math, Taiyuan 030024, Peoples R China
[2] Beijing Inst Technol, Sch Comp Sci & Technol, Beijing 100081, Peoples R China
来源
COMPUTER JOURNAL | 2023年 / 66卷 / 01期
基金
中国国家自然科学基金;
关键词
highly connected graph; maximally connected graph; fault diagnosability; PMC model; MM* model; NEIGHBOR CONDITIONAL DIAGNOSABILITY; MATCHING COMPOSITION NETWORKS;
D O I
10.1093/comjnl/bxab156
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Zhu et al. introduced the h-edge tolerable diagnosability to measure the fault diagnosis capability of a multiprocessor system with faulty links This kind of diagnosability is a generalization of the concept of traditional diagnosability. A graph is called a maximally connected graph if its minimum degree equals its vertex connectivity. It is well-known that many irregular networks are maximally connected graphs and the h-edge tolerable diagnosabilities of these networks are unknown, which is our motivation for research. In this paper, we obtain the lower bound of the h-edge tolerable diagnosability of a class of t-connected graphs and establish the h-edge tolerable diagnosability of a class of maximally connected graphs under the PMC model and the MM * model, which extend some results in (Hakimi, S.L. and Amin, A.T. (1974) Characterization of connection assignment of diagnosable systems. IEEE Trans. Comput., 23, 86-88), (Chang, C.P., Lai, P.L., Tan, J.J.M. and Hsu, L.H. (2004) Diagnosability of t-connected networks and product networks under the comparison diagnosis model. IEEE Trans. Comput., 53, 1582-1590) and (Lian, G., Zhou, S., Hsieh, S.Y., Liu, J., Chen, G. and Wang, Y. (2019) Performance evaluation on hybrid fault diagnosability of regular networks. Theoret. Comput. Sci., 796, 147-153).
引用
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页码:221 / 228
页数:8
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