Back to Search
Start Over
Reliability evaluation of generalized exchanged X-cubes under the Rg-conditional restriction.
- Source :
-
Journal of Supercomputing . May2024, Vol. 80 Issue 8, p11401-11430. 30p. - Publication Year :
- 2024
-
Abstract
- In the realm of multiprocessor systems, the evaluation of interconnection network reliability holds utmost significance, both in terms of design and maintenance. The intricate nature of these systems calls for a systematic assessment of reliability metrics, among which, two metrics emerge as vital: connectivity and diagnosability. The R g -conditional connectivity is the minimum number of processors whose deletion will disconnect the multiprocessor system and every processor has at least g fault-free neighbors. The R g -conditional diagnosability is a novel generalized conditional diagnosability, which is the maximum number of faulty processors that can be identified under the condition that every processor has no less than g fault-free neighbors. In this paper, we first investigate the R g -conditional connectivity of generalized exchanged X-cubes G E X (s , t) and present the lower (upper) bounds of the R g -conditional diagnosability of G E X (s , t) under the PMC model. Applying our results, the R g -conditional connectivity and the lower (upper) bounds of R g -conditional diagnosability of generalized exchanged hypercubes, generalized exchanged crossed cubes, and locally generalized exchanged twisted cubes under the PMC model are determined. Our comparative analysis highlights the superiority of R g -conditional diagnosability, showcasing its effectiveness in guiding reliability studies across a diverse set of networks. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09208542
- Volume :
- 80
- Issue :
- 8
- Database :
- Academic Search Index
- Journal :
- Journal of Supercomputing
- Publication Type :
- Academic Journal
- Accession number :
- 177062473
- Full Text :
- https://doi.org/10.1007/s11227-023-05861-5