A Short Note on the 1, 2-Good-Neighbor Diagnosability of Balanced Hypercubes

被引:4
作者
Gu, Mei-Mei [1 ]
Hao, Rong-Xia [1 ]
Yang, Dond-Xue [1 ]
机构
[1] Beijing Jiaotong Univ, Dept Math, Beijing 100044, Peoples R China
基金
中国国家自然科学基金;
关键词
Good-neighbor diagnosability; balanced hypercube; PMC model; MM model; interconnection network;
D O I
10.1142/S0219265916500018
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Let t(c)(G) and t(g)(G) be the conditional diagnosability and g-good-neighbor diagnosability, respectively, of a graph G. The notion of the g-good-neighbor conditional diagnosability is less restrictive as compared with that of the conditional diagnosability in general. Particularly, the conditional faulty set notion requires that, any vertex, faulty or not, have at least one non-faulty neighbor; while the 1-good-neighbor faulty only requires that a non-faulty vertex have at least one non-faulty neighbor. Compared with conditional diagnosability, g-good-neighbor diagnosability is interesting since it characterizes a stronger tolerance capability. In this paper, we investigate the equal relation between t(1)(BHn) and t(c)(BHn) for the balanced hypercubes BHn. That is t(1)(BHn) = t(c)(BHn) = 4n for n >= 2 under the PMC model and t(1)(BHn) = t(c)(BHn) = 4n for n >= 2 under the MM model; Furthermore, the 2-good-neighbor diagnosability t(2)(BHn) = 4n - 1 for n >= 2 under the PMC model and the MM model is obtained.
引用
收藏
页数:12
相关论文
共 36 条
[1]  
Chang N.-W., Hsieh S.-Y., Structural properties and conditional diagnosability of star graphs by using the PMC model, IEEE Trans. Parallel Distrib. Syst, 25, 11, pp. 3002-3011, (2014)
[2]  
Chang N.-W., Lin T.-Y., Hsieh S.-Y., Conditional diagnosability of k-ary n-cubes under the PMC model, ACM Trans. Des. Autom. Electron. Syst, 17, 4, (2012)
[3]  
Cheng D., Hao R.-X., Various cycles embedding in faulty balanced hypercubes, Inform. Sci, 297, pp. 140-153, (2015)
[4]  
Cheng D., Hao R.-X., Feng Y.-Q., Two node-disjoint paths in balanced hyper-cubes, Appl. Math. Comput, 242, pp. 127-142, (2014)
[5]  
Dahbura A.T., Masson G.M., An O(n2:5) Fault identification algorithm for diag-nosable systems, IEEE Trans. Comput, 33, 6, pp. 486-492, (1984)
[6]  
Gu M.-M., Hao R.-X., Feng Y.-Q., Fault-tolerant cycle embedding in balanced hypercubes with faulty vertices and faulty edges, J. Inter. Networks, 15, 1-2, (2015)
[7]  
Hao R.-X., Feng Y.-Q., Zhou J.-X., Conditional diagnosability of alternating group graphs, IEEE Trans. Comput, 62, 4, pp. 827-831, (2013)
[8]  
Hao R.-X., Zhang R., Feng Y.-Q., Zhou J.-X., Hamiltonian cycle embedding for fault tolerance in balanced hypercubes, Appl. Math. Comput, 244, pp. 447-456, (2014)
[9]  
Hsieh S.-Y., Kao C.-Y., The conditional diagnosability of k-ary n-cubes under the comparison diagnosis model, IEEE Trans. Comput, 62, 4, pp. 839-843, (2013)
[10]  
Hsieh S.-Y., Tsai C.-Y., Chen C.-A., Strong diagnosability and conditional diag-nosability of multiprocessor systems and folded hypercubes, IEEE Trans. Comput, 62, 7, pp. 1472-1477, (2013)