The Reliability of k-Ary n-Cube Based on Component Connectivity
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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Detail(s)
Original language | English |
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Article number | bxab054 |
Journal / Publication | Computer Journal |
Online published | 20 May 2021 |
Publication status | Online published - 20 May 2021 |
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Abstract
Connectivity and diagnosability are two crucial subjects for a network's ability to tolerate and diagnose faulty processors. The r-component connectivity cκr(G) of a network G is the minimum number of vertices whose deletion results in a graph with at least r components. The r-component diagnosability ctr(G) of a network G is the maximum number of faulty vertices that the system can guarantee to identify under the condition that there exist at least r fault-free components. This paper first establishes that the (r + 1)-component connectivity of k-ary n-cube Qkn is cκr+1(Qkn) = −1/2r2 + (2n − 1/2)r + 1 for n ≥ 2, k ≥ 4 and 1 ≤ r ≤ n. In view of cκr+1(Qkn), we prove that the (r + 1)-component diagnosabilities of k-ary n-cube Qkn under the PMC model and MM* model are ctr+1(Qkn) = −1/2r2 + (2n − 3/2)r + 2n for n ≥ 4, k ≥ 4 and 1 ≤ r ≤ n − 1.
Research Area(s)
- k-ary n-cube, reliability, component connectivity, component diagnosability, PMC model, MM* model, CONDITIONAL DIAGNOSABILITY, 2-EXTRA DIAGNOSABILITY, EXTRA CONNECTIVITY, NETWORKS
Citation Format(s)
The Reliability of k-Ary n-Cube Based on Component Connectivity. / LV, Mengjie; FAN, Jianxi; ZHOU, Jingya et al.
In: Computer Journal, 20.05.2021.
In: Computer Journal, 20.05.2021.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review