ϵ-MSR Codes for Any Set of Helper Nodes

Vinayak Ramkumar, Netanel Raviv, Itzhak Tamo

Research output: Contribution to journalArticlepeer-review

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 ϵ-MSR codes, for which the repair information downloaded from each helper node is at most a factor of (1+ϵ) from the minimum amount for some ϵ > 0. The advantage of ϵ-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 ϵ-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≤ d< 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 ≤ n-k and k ≤ d ≤ n-h simultaneously.

Original languageEnglish
Pages (from-to)6657-6667
Number of pages11
JournalIEEE Transactions on Information Theory
Volume71
Issue number9
DOIs
StatePublished - 1 Jan 2025
Externally publishedYes

Keywords

  • MDS array codes
  • distributed storage
  • regenerating codes
  • sub-packetization

ASJC Scopus subject areas

  • Information Systems
  • Computer Science Applications
  • Library and Information Sciences

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