The non-inclusive g -extra diagnosability of the exchanged hypercube under the PMC and MM* models

Reliability evaluation of interconnection networks is essential for large-scale parallel systems. Traditional diagnostic strategies assume an inclusion relationship among fault sets, although the probability of such inclusion decreases rapidly as network size increases, resulting in conservative diagnosability estimates. To address this limitation, non-inclusive diagnosability eliminates the fault-set inclusion constraint, while the non-inclusive g-extra strategy further incorporates g-extra connectivity. The present study analyzes the exchanged hypercube (EHs,t) to establish its non-inclusive g-extra diagnosability under the PMC and MM* models. By defining non-inclusive fault sets and exploiting (2g +1)-extra cut properties, we establish the diagnosability under both models. For 3≤s≤t and 2g+2≤s, the non-inclusive g-extra diagnosability of EHs,t under both the PMC and MM* models is tNgEHs,t=2g+2s−g+1+g. These findings improve the accuracy of reliability evaluation for exchanged hypercubes in practical fault scenarios.

Authors

Institutions

Publication Details

Journal
Journal of the Chinese Institute of Engineers
Published
2026-09-18
DOI
https://doi.org/10.1080/02533839.2026.2729605
Primary Topic
Interconnection Networks and Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

The non-inclusive g -extra diagnosability of the exchanged hypercube under the PMC and MM* models

Xingyu Liu, Yubo Yuan, Jiarong Liang, Chen Guo et al.
Journal of the Chinese Institute of Engineers
Interconnection Networks and Systems
article

The non-inclusive g -extra diagnosability of the exchanged hypercube under the PMC and MM* models

Xingyu Liu, Yubo Yuan, Jiarong Liang, Chen Guo, Fu Xu, Xinyang Wang, Xiaoyan Li, Lu Liu
article en

Abstract

Reliability evaluation of interconnection networks is essential for large-scale parallel systems. Traditional diagnostic strategies assume an inclusion relationship among fault sets, although the probability of such inclusion decreases rapidly as network size increases, resulting in conservative diagnosability estimates. To address this limitation, non-inclusive diagnosability eliminates the fault-set inclusion constraint, while the non-inclusive g-extra strategy further incorporates g-extra connectivity. The present study analyzes the exchanged hypercube (EHs,t) to establish its non-inclusive g-extra diagnosability under the PMC and MM* models. By defining non-inclusive fault sets and exploiting (2g +1)-extra cut properties, we establish the diagnosability under both models. For 3≤s≤t and 2g+2≤s, the non-inclusive g-extra diagnosability of EHs,t under both the PMC and MM* models is tNgEHs,t=2g+2s−g+1+g. These findings improve the accuracy of reliability evaluation for exchanged hypercubes in practical fault scenarios.

Journal of the Chinese Institute of Engineers
Jinggangshan University (CN), Guangxi University (CN), Beijing Forestry University (CN), State Forestry and Grassland Administration (CN), Fuzhou University (CN)
Reduced inequalities
Openalex Percentile: Top 9%
Interconnection Networks and Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

The non-inclusive g -extra diagnosability of the exchanged hypercube under the PMC and MM* models — Xingyu Liu, Yubo Yuan, et al. · Journal of the Chinese Institute of Engineers (2026) | TGRS Research Map | TGRS