PMDS Array Codes With Small Sub-packetization Level and Small Repair Bandwidth

Jie Li, Xiaohu Tang, Hanxu Hou, Y. Han, B. Bai, Gong Zhang
{"title":"PMDS Array Codes With Small Sub-packetization Level and Small Repair Bandwidth","authors":"Jie Li, Xiaohu Tang, Hanxu Hou, Y. Han, B. Bai, Gong Zhang","doi":"10.1109/ISIT50566.2022.9834663","DOIUrl":null,"url":null,"abstract":"Partial maximum distance separable (PMDS) codes are a kind of erasure codes where the storage nodes are divided into multiple groups with each forming an MDS code of a smaller code length. They allow repairing a failed node by contacting only a few helper nodes and can correct all erasure patterns which are information-theoretically correctable. However, the repair of a failed node of PMDS codes still requires a large amount of communication if the group size is large. Recently, PMDS array codes with each local code being an MSR code were introduced to further reduce the repair bandwidth, but codes over small finite fields only exist for two global parities, and require large rebuilding access and unavoidably a large sub-packetization level. In this paper, we propose two constructions of PMDS array codes with two and three global parities, respectively. Both have a small sub-packetization level, small repair bandwidth, and much smaller finite fields than existing ones.","PeriodicalId":348168,"journal":{"name":"2022 IEEE International Symposium on Information Theory (ISIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Symposium on Information Theory (ISIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIT50566.2022.9834663","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Partial maximum distance separable (PMDS) codes are a kind of erasure codes where the storage nodes are divided into multiple groups with each forming an MDS code of a smaller code length. They allow repairing a failed node by contacting only a few helper nodes and can correct all erasure patterns which are information-theoretically correctable. However, the repair of a failed node of PMDS codes still requires a large amount of communication if the group size is large. Recently, PMDS array codes with each local code being an MSR code were introduced to further reduce the repair bandwidth, but codes over small finite fields only exist for two global parities, and require large rebuilding access and unavoidably a large sub-packetization level. In this paper, we propose two constructions of PMDS array codes with two and three global parities, respectively. Both have a small sub-packetization level, small repair bandwidth, and much smaller finite fields than existing ones.
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
小子分组级别和小修复带宽的PMDS阵列码
PMDS (Partial maximum distance分离式部分最大距离可分离码)是将存储节点分成多组,每组组成一个较小码长的MDS码的一种擦除码。它们允许通过仅联系几个辅助节点来修复故障节点,并且可以纠正所有在信息理论上可纠正的擦除模式。但是,在组规模较大的情况下,PMDS码的故障节点修复仍然需要大量的通信。近年来,为了进一步减少修复带宽,引入了每个局部码都是MSR码的PMDS阵列码,但小有限域上的码只存在两个全局对,需要大量的重建访问,并且不可避免地需要很大的子分组级别。本文提出了两种具有两个和三个全局对的PMDS阵列码结构。两者都具有小的子分组级别、小的修复带宽和比现有的小得多的有限域。
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
自引率
0.00%
发文量
0
期刊最新文献
Fast Low Rank column-wise Compressive Sensing Ternary Message Passing Decoding of RS-SPC Product Codes Understanding Deep Neural Networks Using Sliced Mutual Information Rate-Optimal Streaming Codes Over the Three-Node Decode-And-Forward Relay Network Unlimited Sampling via Generalized Thresholding
×
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