Title
The G-Good-Neighbor Local Diagnosability of a Hypercube Network Under the PMC Model
Abstract
A significant indicator used in evaluating the reliability of a multiprocessor system is fault diagnosability. Researchers concentrate on the diagnosability of the entire system while ignoring important local information about the system. In our paper, an innovative concept of fault diagnosability, called g-good-neighbor local diagnosability, is put forward to study the diagnosability of a system at a node under the g-good-neighbor condition. Moreover, we obtain the relationship between the local diagnosability of a system at each node and the whole system's diagnosability under the g-good-neighbor condition. Under the PMC model, we prove that the g-good-neighbor local diagnosability of an n-dimensional hypercube network Q(n) at each node is at least 2(g)(n - g + 1) 1 for 0 <= g <= n - 3 and that when n - 2 <= g <= n - 1, the g-good-neighbor local diagnosability of Q(n) at each node is 2(n-1) - 1. Further, we easily derive the diagnosability of hypercube Q(n) under the g-good-neighbor condition.
Year
DOI
Venue
2020
10.1109/ACCESS.2020.2974482
IEEE ACCESS
Keywords
DocType
Volume
Multiprocessor system,g-good-neighbor local diagnosability,PMC model,hypercube network
Journal
8
ISSN
Citations 
PageRank 
2169-3536
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Wen Yin100.68
Jiarong Liang200.34