Extra Connectivity and Extra Diagnosability of Enhanced Folded Hypercube-like Networks

In the design of multiprocessor systems, evaluating the reliability of interconnection networks is a critical aspect that significantly impacts system performance and functionality. When quantifying the reliability of these networks, extra connectivity and extra diagnosability serve as fundamental m...

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Main Authors: Yihong Wang, Cheng-Kuan Lin
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Mathematics
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Online Access:https://www.mdpi.com/2227-7390/13/15/2441
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author Yihong Wang
Cheng-Kuan Lin
author_facet Yihong Wang
Cheng-Kuan Lin
author_sort Yihong Wang
collection DOAJ
description In the design of multiprocessor systems, evaluating the reliability of interconnection networks is a critical aspect that significantly impacts system performance and functionality. When quantifying the reliability of these networks, extra connectivity and extra diagnosability serve as fundamental metric parameters, offering valuable insights into the network’s resilience and fault-handling capabilities. In this paper, we investigate the 1-extra connectivity and 1-extra diagnosability of the <i>n</i>-dimensional enhanced folded hypercube-like network. Through analysis, we show that the 1-extra connectivity of this network is <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>2</mn><mi>n</mi><mo>+</mo><mn>2</mn></mrow></semantics></math></inline-formula>. Moreover, for <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>n</mi><mo>></mo><mn>5</mn></mrow></semantics></math></inline-formula>, we determine its 1-extra diagnosability under both the PMC model and the MM<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mo>⁢</mo><mo>∗</mo></msup></semantics></math></inline-formula> model to be <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>2</mn><mi>n</mi><mo>+</mo><mn>3</mn></mrow></semantics></math></inline-formula>. These results show that as the dimension <i>n</i> increases, both the 1-extra connectivity and 1-extra diagnosability of the network approach approximately twice the value of traditional diagnosability metrics. This provides quantitative insights into the reliability properties of the enhanced folded hypercube-like network, contributing to a better understanding of its performance in terms of connectivity and fault diagnosis.
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spelling doaj-art-4e29d1de69564923bd4d4fb8813c55fc2025-08-20T04:00:54ZengMDPI AGMathematics2227-73902025-07-011315244110.3390/math13152441Extra Connectivity and Extra Diagnosability of Enhanced Folded Hypercube-like NetworksYihong Wang0Cheng-Kuan Lin1School of Computer Engineering, Jimei University, Xiamen 361021, ChinaDepartment of Computer Science, National Yang Ming Chiao Tung University, Hsinchu 30010, TaiwanIn the design of multiprocessor systems, evaluating the reliability of interconnection networks is a critical aspect that significantly impacts system performance and functionality. When quantifying the reliability of these networks, extra connectivity and extra diagnosability serve as fundamental metric parameters, offering valuable insights into the network’s resilience and fault-handling capabilities. In this paper, we investigate the 1-extra connectivity and 1-extra diagnosability of the <i>n</i>-dimensional enhanced folded hypercube-like network. Through analysis, we show that the 1-extra connectivity of this network is <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>2</mn><mi>n</mi><mo>+</mo><mn>2</mn></mrow></semantics></math></inline-formula>. Moreover, for <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>n</mi><mo>></mo><mn>5</mn></mrow></semantics></math></inline-formula>, we determine its 1-extra diagnosability under both the PMC model and the MM<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mo>⁢</mo><mo>∗</mo></msup></semantics></math></inline-formula> model to be <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>2</mn><mi>n</mi><mo>+</mo><mn>3</mn></mrow></semantics></math></inline-formula>. These results show that as the dimension <i>n</i> increases, both the 1-extra connectivity and 1-extra diagnosability of the network approach approximately twice the value of traditional diagnosability metrics. This provides quantitative insights into the reliability properties of the enhanced folded hypercube-like network, contributing to a better understanding of its performance in terms of connectivity and fault diagnosis.https://www.mdpi.com/2227-7390/13/15/2441connectivitydiagnosabilityenhanced folded hypercube-like networks
spellingShingle Yihong Wang
Cheng-Kuan Lin
Extra Connectivity and Extra Diagnosability of Enhanced Folded Hypercube-like Networks
Mathematics
connectivity
diagnosability
enhanced folded hypercube-like networks
title Extra Connectivity and Extra Diagnosability of Enhanced Folded Hypercube-like Networks
title_full Extra Connectivity and Extra Diagnosability of Enhanced Folded Hypercube-like Networks
title_fullStr Extra Connectivity and Extra Diagnosability of Enhanced Folded Hypercube-like Networks
title_full_unstemmed Extra Connectivity and Extra Diagnosability of Enhanced Folded Hypercube-like Networks
title_short Extra Connectivity and Extra Diagnosability of Enhanced Folded Hypercube-like Networks
title_sort extra connectivity and extra diagnosability of enhanced folded hypercube like networks
topic connectivity
diagnosability
enhanced folded hypercube-like networks
url https://www.mdpi.com/2227-7390/13/15/2441
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