The Local Diagnosability of Folded Hypercubes with Conditional Faulty Edges Under the PMC Model

Shiying Wang, Changchang Fan, Xiaolei Ma, Yunxia Ren
{"title":"The Local Diagnosability of Folded Hypercubes with Conditional Faulty Edges Under the PMC Model","authors":"Shiying Wang, Changchang Fan, Xiaolei Ma, Yunxia Ren","doi":"10.1142/s0219265921500237","DOIUrl":null,"url":null,"abstract":"The diagnosability of a multiprocessor system is of great significance in measuring the reliability and faulty tolerance of interconnection networks. In this paper, we firstly study the diagnosability of the [Formula: see text]-dimensional folded hypercube [Formula: see text] under the PMC model. We prove that [Formula: see text] keeps the strong local diagnosability property even if it has the set [Formula: see text] of [Formula: see text] faulty edges and [Formula: see text] is maximum number of faulty edges. Secondly, we study the diagnosability of [Formula: see text] [Formula: see text] and [Formula: see text] is odd) with conditional faulty edges under the PMC model. We prove that [Formula: see text] keeps strong local diagnosability property even if it has the set [Formula: see text] of [Formula: see text] faulty edges, provided that each vertex of [Formula: see text] is incident with at least two fault-free edges, where [Formula: see text] is maximum number of faulty edges. Finally, we prove that [Formula: see text] keeps strong local diagnosability property no matter how many edges are faulty, provided that each vertex of [Formula: see text] is incident with at least three fault-free edges.","PeriodicalId":153590,"journal":{"name":"J. Interconnect. Networks","volume":"94 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"J. Interconnect. Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/s0219265921500237","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The diagnosability of a multiprocessor system is of great significance in measuring the reliability and faulty tolerance of interconnection networks. In this paper, we firstly study the diagnosability of the [Formula: see text]-dimensional folded hypercube [Formula: see text] under the PMC model. We prove that [Formula: see text] keeps the strong local diagnosability property even if it has the set [Formula: see text] of [Formula: see text] faulty edges and [Formula: see text] is maximum number of faulty edges. Secondly, we study the diagnosability of [Formula: see text] [Formula: see text] and [Formula: see text] is odd) with conditional faulty edges under the PMC model. We prove that [Formula: see text] keeps strong local diagnosability property even if it has the set [Formula: see text] of [Formula: see text] faulty edges, provided that each vertex of [Formula: see text] is incident with at least two fault-free edges, where [Formula: see text] is maximum number of faulty edges. Finally, we prove that [Formula: see text] keeps strong local diagnosability property no matter how many edges are faulty, provided that each vertex of [Formula: see text] is incident with at least three fault-free edges.
PMC模型下条件缺陷边折叠超立方体的局部可诊断性
多处理机系统的可诊断性对于测量互连网络的可靠性和容错能力具有重要意义。本文首先研究了PMC模型下[公式:见文]-维折叠超立方体[公式:见文]的可诊断性。证明了[公式:见文]即使存在[公式:见文]的错误边集[公式:见文],且[公式:见文]是错误边的最大数目,[公式:见文]仍保持强局部可诊断性。其次,研究了PMC模型下具有条件故障边的[公式:见文][公式:见文][公式:见文]和[公式:见文]为奇数]的可诊断性。证明了[公式:见文]即使存在[公式:见文]的故障边集[公式:见文],只要[公式:见文]的每个顶点与至少两条无故障边相关联,其中[公式:见文]为故障边的最大数目,则[公式:见文]仍保持强局部可诊断性。最后,我们证明了[公式:见文]无论有多少条边有缺陷,只要[公式:见文]的每个顶点与至少三条无缺陷边相关联,[公式:见文]都保持强的局部可诊断性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信