{"title":"任意辅助节点集的ε-MSR码","authors":"Vinayak Ramkumar;Netanel Raviv;Itzhak Tamo","doi":"10.1109/TIT.2025.3582186","DOIUrl":null,"url":null,"abstract":"Minimum storage regenerating (MSR) codes are a class of maximum distance separable (MDS) array codes capable of repairing any single failed node by downloading the minimum amount of information from each of the helper nodes. However, MSR codes require large sub-packetization levels, which hinders their usefulness in practical settings. This led to the development of another class of MDS array codes called <inline-formula> <tex-math>$\\varepsilon $ </tex-math></inline-formula>-MSR codes, for which the repair information downloaded from each helper node is at most a factor of <inline-formula> <tex-math>$(1+\\varepsilon)$ </tex-math></inline-formula> from the minimum amount for some <inline-formula> <tex-math>$\\varepsilon \\gt 0$ </tex-math></inline-formula>. The advantage of <inline-formula> <tex-math>$\\varepsilon $ </tex-math></inline-formula>-MSR codes over MSR codes is their small sub-packetization levels. In previous constructions of epsilon-MSR codes, however, several specific nodes are required to participate in the repair of a failed node, which limits the performance of the code in cases where these nodes are not available. In this work, we present a construction of <inline-formula> <tex-math>$\\varepsilon $ </tex-math></inline-formula>-MSR codes without this restriction. For a code with <italic>n</i> nodes, out of which <italic>k</i> store uncoded information, and for any number <italic>d</i> of helper nodes (<inline-formula> <tex-math>$k\\le d\\lt n$ </tex-math></inline-formula>), the repair of a failed node can be done by contacting any set of <italic>d</i> surviving nodes. Our construction utilizes group algebra techniques, and requires linear field size. We also generalize the construction to MDS array codes capable of repairing <italic>h</i> failed nodes using <italic>d</i> helper nodes with a slightly sub-optimal download from each helper node, for all <inline-formula> <tex-math>$h \\le n-k$ </tex-math></inline-formula> and <inline-formula> <tex-math>$k \\le d \\le n-h$ </tex-math></inline-formula> simultaneously.","PeriodicalId":13494,"journal":{"name":"IEEE Transactions on Information Theory","volume":"71 9","pages":"6657-6667"},"PeriodicalIF":2.9000,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"ε-MSR Codes for Any Set of Helper Nodes\",\"authors\":\"Vinayak Ramkumar;Netanel Raviv;Itzhak Tamo\",\"doi\":\"10.1109/TIT.2025.3582186\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Minimum storage regenerating (MSR) codes are a class of maximum distance separable (MDS) array codes capable of repairing any single failed node by downloading the minimum amount of information from each of the helper nodes. However, MSR codes require large sub-packetization levels, which hinders their usefulness in practical settings. This led to the development of another class of MDS array codes called <inline-formula> <tex-math>$\\\\varepsilon $ </tex-math></inline-formula>-MSR codes, for which the repair information downloaded from each helper node is at most a factor of <inline-formula> <tex-math>$(1+\\\\varepsilon)$ </tex-math></inline-formula> from the minimum amount for some <inline-formula> <tex-math>$\\\\varepsilon \\\\gt 0$ </tex-math></inline-formula>. The advantage of <inline-formula> <tex-math>$\\\\varepsilon $ </tex-math></inline-formula>-MSR codes over MSR codes is their small sub-packetization levels. In previous constructions of epsilon-MSR codes, however, several specific nodes are required to participate in the repair of a failed node, which limits the performance of the code in cases where these nodes are not available. In this work, we present a construction of <inline-formula> <tex-math>$\\\\varepsilon $ </tex-math></inline-formula>-MSR codes without this restriction. For a code with <italic>n</i> nodes, out of which <italic>k</i> store uncoded information, and for any number <italic>d</i> of helper nodes (<inline-formula> <tex-math>$k\\\\le d\\\\lt n$ </tex-math></inline-formula>), the repair of a failed node can be done by contacting any set of <italic>d</i> surviving nodes. Our construction utilizes group algebra techniques, and requires linear field size. We also generalize the construction to MDS array codes capable of repairing <italic>h</i> failed nodes using <italic>d</i> helper nodes with a slightly sub-optimal download from each helper node, for all <inline-formula> <tex-math>$h \\\\le n-k$ </tex-math></inline-formula> and <inline-formula> <tex-math>$k \\\\le d \\\\le n-h$ </tex-math></inline-formula> simultaneously.\",\"PeriodicalId\":13494,\"journal\":{\"name\":\"IEEE Transactions on Information Theory\",\"volume\":\"71 9\",\"pages\":\"6657-6667\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2025-06-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Information Theory\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/11045916/\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Information Theory","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/11045916/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
Minimum storage regenerating (MSR) codes are a class of maximum distance separable (MDS) array codes capable of repairing any single failed node by downloading the minimum amount of information from each of the helper nodes. However, MSR codes require large sub-packetization levels, which hinders their usefulness in practical settings. This led to the development of another class of MDS array codes called $\varepsilon $ -MSR codes, for which the repair information downloaded from each helper node is at most a factor of $(1+\varepsilon)$ from the minimum amount for some $\varepsilon \gt 0$ . The advantage of $\varepsilon $ -MSR codes over MSR codes is their small sub-packetization levels. In previous constructions of epsilon-MSR codes, however, several specific nodes are required to participate in the repair of a failed node, which limits the performance of the code in cases where these nodes are not available. In this work, we present a construction of $\varepsilon $ -MSR codes without this restriction. For a code with n nodes, out of which k store uncoded information, and for any number d of helper nodes ($k\le d\lt n$ ), the repair of a failed node can be done by contacting any set of d surviving nodes. Our construction utilizes group algebra techniques, and requires linear field size. We also generalize the construction to MDS array codes capable of repairing h failed nodes using d helper nodes with a slightly sub-optimal download from each helper node, for all $h \le n-k$ and $k \le d \le n-h$ simultaneously.
期刊介绍:
The IEEE Transactions on Information Theory is a journal that publishes theoretical and experimental papers concerned with the transmission, processing, and utilization of information. The boundaries of acceptable subject matter are intentionally not sharply delimited. Rather, it is hoped that as the focus of research activity changes, a flexible policy will permit this Transactions to follow suit. Current appropriate topics are best reflected by recent Tables of Contents; they are summarized in the titles of editorial areas that appear on the inside front cover.