MDS Array Codes with Optimal Rebuilding

TL;DR

This paper introduces a new family of MDS array codes that achieve optimal rebuilding ratios of 1/r for single erasures, improving data recovery efficiency in storage systems.

Contribution

It solves the open problem of exact rebuilding ratio for single erasures in 2-erasure correcting MDS codes and constructs codes with optimal ratios for any r.

Findings

Rebuilding ratio for single erasure in 2-erasure codes is 1/2.

Constructed r-erasure correcting MDS array codes with optimal ratio 1/r.

Codes have efficient encoding, decoding, and update properties.

Abstract

MDS array codes are widely used in storage systems to protect data against erasures. We address the \emph{rebuilding ratio} problem, namely, in the case of erasures, what is the the fraction of the remaining information that needs to be accessed in order to rebuild \emph{exactly} the lost information? It is clear that when the number of erasures equals the maximum number of erasures that an MDS code can correct then the rebuilding ratio is 1 (access all the remaining information). However, the interesting (and more practical) case is when the number of erasures is smaller than the erasure correcting capability of the code. For example, consider an MDS code that can correct two erasures: What is the smallest amount of information that one needs to access in order to correct a single erasure? Previous work showed that the rebuilding ratio is bounded between 1/2 and 3/4, however, the exact value was left as an open problem. In this paper, we solve this open problem and prove that for the case of a single erasure with a 2-erasure correcting code, the rebuilding ratio is 1/2. In general, we construct a new family of $r$-erasure correcting MDS array codes that has optimal rebuilding ratio of $\frac{1}{r}$ in the case of a single erasure. Our array codes have efficient encoding and decoding algorithms (for the case $r=2$ they use a finite field of size 3) and an optimal update property.