首页    期刊浏览 2024年07月09日 星期二
登录注册

文章基本信息

  • 标题:The g-Good-Neighbor Diagnosability of Bubble-Sort Graphs under Preparata, Metze, and Chien’s (PMC) Model and Maeng and Malek’s (MM)* Model
  • 作者:Shiying Wang ; Shiying Wang ; Zhenhua Wang
  • 期刊名称:Information
  • 电子版ISSN:2078-2489
  • 出版年度:2019
  • 卷号:10
  • 期号:1
  • 页码:21
  • DOI:10.3390/info10010021
  • 语种:English
  • 出版社:MDPI Publishing
  • 摘要:Diagnosability of a multiprocessor system is an important topic of study. A measure for fault diagnosis of the system restrains that every fault-free node has at least g fault-free neighbor vertices, which is called the g-good-neighbor diagnosability of the system. As a famous topology structure of interconnection networks, the n-dimensional bubble-sort graph B n has many good properties. In this paper, we prove that (1) the 1-good-neighbor diagnosability of B n is 2 n − 3 under Preparata, Metze, and Chien’s (PMC) model for n ≥ 4 and Maeng and Malek’s (MM) ∗ model for n ≥ 5 ; (2) the 2-good-neighbor diagnosability of B n is 4 n − 9 under the PMC model and the MM ∗ model for n ≥ 4 ; (3) the 3-good-neighbor diagnosability of B n is 8 n − 25 under the PMC model and the MM ∗ model for n ≥ 7 .
  • 关键词:interconnection network; graph; diagnosability; PMC model; MM* model; bubble-sort graph interconnection network ; graph ; diagnosability ; PMC model ; MM* model ; bubble-sort graph
Loading...
联系我们|关于我们|网站声明
国家哲学社会科学文献中心版权所有