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  • 标题:g-Good-Neighbor Diagnosability of Arrangement Graphs under the PMC Model and MM* Model
  • 作者:Shiying Wang ; Yunxia Ren
  • 期刊名称:Information
  • 电子版ISSN:2078-2489
  • 出版年度:2018
  • 卷号:9
  • 期号:11
  • 页码:275
  • DOI:10.3390/info9110275
  • 语种:English
  • 出版社:MDPI Publishing
  • 摘要:Diagnosability of a multiprocessor system is an important research topic. The system and interconnection network has a underlying topology, which usually presented by a graph G = ( V , E ) . In 2012, a measurement for fault tolerance of the graph was proposed by Peng et al. This measurement is called the g-good-neighbor diagnosability that restrains every fault-free node to contain at least g fault-free neighbors. Under the PMC model, to diagnose the system, two adjacent nodes in G are can perform tests on each other. Under the MM model, to diagnose the system, a node sends the same task to two of its neighbors, and then compares their responses. The MM* is a special case of the MM model and each node must test its any pair of adjacent nodes of the system. As a famous topology structure, the ( n , k ) -arrangement graph A n , k , has many good properties. In this paper, we give the g-good-neighbor diagnosability of A n , k under the PMC model and MM* model.
  • 关键词:interconnection network; diagnosability; arrangement graph interconnection network ; diagnosability ; arrangement graph
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