The Reliability of k-Ary n-Cube Based on Component Connectivity

Mengjie LV, Jianxi FAN*, Jingya ZHOU, Jia YU, Xiaohua JIA

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

18 Citations (Scopus)

Abstract

Connectivity and diagnosability are two crucial subjects for a network's ability to tolerate and diagnose faulty processors. The r-component connectivity r(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 r+1(Qkn) = −1/2r2 + (2n − 1/2)r + 1 for n ≥ 2, k ≥ 4 and 1 ≤ r n. In view of r+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.
Original languageEnglish
Article numberbxab054
JournalComputer Journal
Online published20 May 2021
DOIs
Publication statusOnline published - 20 May 2021

Research Keywords

  • k-ary n-cube
  • reliability
  • component connectivity
  • component diagnosability
  • PMC model
  • MM* model
  • CONDITIONAL DIAGNOSABILITY
  • 2-EXTRA DIAGNOSABILITY
  • EXTRA CONNECTIVITY
  • NETWORKS

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