4.3 Article

Extra diagnosability and good-neighbor diagnosability of n-dimensional alternating group graph AGn under the PMC model

期刊

THEORETICAL COMPUTER SCIENCE
卷 795, 期 -, 页码 36-49

出版社

ELSEVIER
DOI: 10.1016/j.tcs.2019.05.034

关键词

Extra diagnosability; Good-neighbor diagnosability; Restricted connectivity; Alternating group graph; PMC model

资金

  1. National Natural Science Foundation of China [61702100, 61771140, 61702103, 61773415]
  2. Education Department of Fujian Province [JAT170397]
  3. Fujian University of Technology [GY-Z17008, GY-Z18145]
  4. China Postdoctoral Science Foundation [2018T110636, 2017M612107]
  5. Natural Science Foundation of Fujian Province [2017J01738]

向作者/读者索取更多资源

The h-extra diagnosability and g-good-neighbor diagnosability are two important diagnostic strategies at system-level that can significantly enhance the system's self-diagnosing capability. The h-extra diagnosability ensures that every component of the system after removing a set of faulty vertices has at least h + 1 vertices. The g-good-neighbor diagnosability guarantees that after removing some faulty vertices, every vertex in the remaining system has at least g neighbors. In this paper, we analyze the extra diagnosability and good-neighbor diagnosability in a well-known n-dimensional alternating group graph AG(n) proposed for multiprocessor systems under the PMC model. We first establish that the 1-extra diagnosability of AG(n) (n >= 5) is 4n - 10. Then we prove that the 2-extra diagnosability of AG(n) (n >= 5) is 6n - 17. Next, we address that the 3-extra diagnosability of AG(n) (n >= 5) is 8n-25. Finally, we obtain that the g-restricted connectivity and the g-good-neighbor diagnosability of AG(n) (n >= 5) are (2g + 2)n - 2(g+2)- 4 + g and (2g + 2)n - 2(g+2)- 4 + 2g for 1 <= g <= 2, respectively. (C) 2019 Elsevier B.V. All rights reserved.

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