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Diagnosability for a family of matching composition networks.

Authors :
Chen, Meirun
Habib, Michel
Lin, Cheng-Kuan
Source :
Journal of Supercomputing; May2023, Vol. 79 Issue 7, p7584-7608, 25p
Publication Year :
2023

Abstract

We study here the diagnosability of networks under two models of self-diagnosis: PMC model introduced by Preparata, Metze and Chien (IEEE Trans Electronic Computers 16(12):848–854 (1967)) and MM ∗ model introduced by Sengupta and Dahbura (IEEE Trans Computers 41(11):1386–1396 (1992)) which is the variant of the comparison model (1980). The diagnosability of a network of processors is the maximum number of faulty processors that can be identified by the network itself. Lee and Hsieh (IEEE Trans Dependable Secure Comput 8(2):246–255 (2011)) considered the diagnosability of networks obtained by connecting two networks of the same order by two perfect matchings and got the lower bounds. Usually, there is a gap between the lower bound and the exact value of the diagnosability. In this paper, we completely determine the diagnosability of this family of matching composition networks. [ABSTRACT FROM AUTHOR]

Subjects

Subjects :
COMPUTERS
SELF diagnosis

Details

Language :
English
ISSN :
09208542
Volume :
79
Issue :
7
Database :
Complementary Index
Journal :
Journal of Supercomputing
Publication Type :
Academic Journal
Accession number :
162683298
Full Text :
https://doi.org/10.1007/s11227-022-04949-8