{"title":"Robustness of reliability bounds for (n,k)-star networks","authors":"Hao Li , Hongwei Qiao , Eminjan Sabir","doi":"10.1016/j.dam.2025.06.064","DOIUrl":null,"url":null,"abstract":"<div><div>The sub-network reliability, SNR for short, of a network is the probability that a healthy sub-network of a certain scale is operational in the network when faults occurs. It is surprisingly found that some networks’ SNR are different even though they have the same cardinality of processors. Hereby, we conduct comparative analysis for a pair of distinct topologies of <span><math><mrow><mo>(</mo><mi>n</mi><mo>,</mo><mi>k</mi><mo>)</mo></mrow></math></span>-star networks <span><math><msub><mrow><mi>S</mi></mrow><mrow><mi>n</mi><mo>,</mo><mi>k</mi></mrow></msub></math></span> with same cardinality of processors to assess the robustness of their SNR bounds. We demonstrate analytically that SNR in <span><math><msub><mrow><mi>S</mi></mrow><mrow><mi>n</mi><mo>,</mo><mi>k</mi></mrow></msub></math></span> is proportional to <span><math><mi>n</mi></math></span> when sub-networks are of the same cardinality of processors. This study presents a theoretical framework for selecting the more reliable topology among <span><math><msub><mrow><mi>S</mi></mrow><mrow><mi>n</mi><mo>,</mo><mi>k</mi></mrow></msub></math></span>s of the same cardinality of processors. We also conduct numerical simulations to verify our theoretical findings.</div></div>","PeriodicalId":50573,"journal":{"name":"Discrete Applied Mathematics","volume":"377 ","pages":"Pages 51-65"},"PeriodicalIF":1.0000,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Discrete Applied Mathematics","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0166218X25003841","RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
The sub-network reliability, SNR for short, of a network is the probability that a healthy sub-network of a certain scale is operational in the network when faults occurs. It is surprisingly found that some networks’ SNR are different even though they have the same cardinality of processors. Hereby, we conduct comparative analysis for a pair of distinct topologies of -star networks with same cardinality of processors to assess the robustness of their SNR bounds. We demonstrate analytically that SNR in is proportional to when sub-networks are of the same cardinality of processors. This study presents a theoretical framework for selecting the more reliable topology among s of the same cardinality of processors. We also conduct numerical simulations to verify our theoretical findings.
期刊介绍:
The aim of Discrete Applied Mathematics is to bring together research papers in different areas of algorithmic and applicable discrete mathematics as well as applications of combinatorial mathematics to informatics and various areas of science and technology. Contributions presented to the journal can be research papers, short notes, surveys, and possibly research problems. The "Communications" section will be devoted to the fastest possible publication of recent research results that are checked and recommended for publication by a member of the Editorial Board. The journal will also publish a limited number of book announcements as well as proceedings of conferences. These proceedings will be fully refereed and adhere to the normal standards of the journal.
Potential authors are advised to view the journal and the open calls-for-papers of special issues before submitting their manuscripts. Only high-quality, original work that is within the scope of the journal or the targeted special issue will be considered.