Secure paths based trustworthy fault-tolerant routing in data center networks

IF 1.5 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING Concurrency and Computation-Practice & Experience Pub Date : 2024-07-25 DOI:10.1002/cpe.8229
Kaiyun Liu, Weibei Fan, Fu Xiao, Haolin Mao, Huipeng Huang, Yizhou Zhao
{"title":"Secure paths based trustworthy fault-tolerant routing in data center networks","authors":"Kaiyun Liu,&nbsp;Weibei Fan,&nbsp;Fu Xiao,&nbsp;Haolin Mao,&nbsp;Huipeng Huang,&nbsp;Yizhou Zhao","doi":"10.1002/cpe.8229","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>With the continuous expansion scale of data center networks (DCNs), the probability of network failures becomes high. Trustworthy fault-tolerant routing is extremely significant for reliable communication in data centers. In this article, we tackle the challenge by proposing a novel fault-tolerant routing scheme for a torus-based DCN. First, we present a multipath information transmission model based on the trust degree of reachable paths and propose a novel Hamiltonian odd–even turning model without deadlock. Second, we design an efficient deadlock-free fault-routing algorithm by constructing the longest fault-free path between any two fault-free nodes in DCN. Extensive simulation results show that the proposed fault-tolerant routing outperforms the previous algorithms. Compared with the most advanced fault-tolerant routing algorithms, the proposed algorithm has a 21.5% to 25.3% increase in throughput and packet arrival rate. Moreover, it can reduce the average delay of 18.6% and the maximum delay of 23.7% in the network respectively.</p>\n </div>","PeriodicalId":55214,"journal":{"name":"Concurrency and Computation-Practice & Experience","volume":"36 23","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Concurrency and Computation-Practice & Experience","FirstCategoryId":"94","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/cpe.8229","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
引用次数: 0

Abstract

With the continuous expansion scale of data center networks (DCNs), the probability of network failures becomes high. Trustworthy fault-tolerant routing is extremely significant for reliable communication in data centers. In this article, we tackle the challenge by proposing a novel fault-tolerant routing scheme for a torus-based DCN. First, we present a multipath information transmission model based on the trust degree of reachable paths and propose a novel Hamiltonian odd–even turning model without deadlock. Second, we design an efficient deadlock-free fault-routing algorithm by constructing the longest fault-free path between any two fault-free nodes in DCN. Extensive simulation results show that the proposed fault-tolerant routing outperforms the previous algorithms. Compared with the most advanced fault-tolerant routing algorithms, the proposed algorithm has a 21.5% to 25.3% increase in throughput and packet arrival rate. Moreover, it can reduce the average delay of 18.6% and the maximum delay of 23.7% in the network respectively.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
数据中心网络中基于可信容错路由的安全路径
摘要随着数据中心网络(DCN)规模的不断扩大,网络出现故障的概率也越来越高。可信的容错路由对于数据中心的可靠通信意义重大。在本文中,我们针对基于环的 DCN 提出了一种新型容错路由方案,以应对这一挑战。首先,我们提出了一种基于可达路径信任度的多路径信息传输模型,并提出了一种无死锁的新型哈密尔顿奇偶转向模型。其次,我们设计了一种高效的无死锁故障路由算法,在 DCN 中任意两个无故障节点之间构建最长的无故障路径。大量仿真结果表明,所提出的容错路由算法优于之前的算法。与最先进的容错路由算法相比,所提出的算法在吞吐量和数据包到达率方面提高了 21.5% 至 25.3%。此外,它还能将网络中的平均延迟和最大延迟分别降低 18.6% 和 23.7%。
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 去求助
来源期刊
Concurrency and Computation-Practice & Experience
Concurrency and Computation-Practice & Experience 工程技术-计算机:理论方法
CiteScore
5.00
自引率
10.00%
发文量
664
审稿时长
9.6 months
期刊介绍: Concurrency and Computation: Practice and Experience (CCPE) publishes high-quality, original research papers, and authoritative research review papers, in the overlapping fields of: Parallel and distributed computing; High-performance computing; Computational and data science; Artificial intelligence and machine learning; Big data applications, algorithms, and systems; Network science; Ontologies and semantics; Security and privacy; Cloud/edge/fog computing; Green computing; and Quantum computing.
期刊最新文献
Issue Information Improving QoS in cloud resources scheduling using dynamic clustering algorithm and SM-CDC scheduling model Issue Information Issue Information Camellia oleifera trunks detection and identification based on improved YOLOv7
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1