MDS Array Codes with Optimal Rebuilding
arXiv:1103.3737
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 -erasure correcting MDS array codes that has optimal rebuilding ratio of in the case of a single erasure. Our array codes have efficient encoding and decoding algorithms (for the case they use a finite field of size 3) and an optimal update property.
14 pages, 4 figures, a short version submitted to ISIT 2011
References in corpus (4)
- Distributed Data Storage with Minimum Storage Regenerating Codes - Exact and Functional Repair are Asymptotically Equally Efficient
- On the Existence of Optimal Exact-Repair MDS Codes for Distributed Storage
- Rebuilding for Array Codes in Distributed Storage Systems
- Explicit Construction of Optimal Exact Regenerating Codes for Distributed Storage
Cited by in corpus (6)
- XORing Elephants: Novel Erasure Codes for Big Data
- Optimal Repair of MDS Codes in Distributed Storage via Subspace Interference Alignment
- On Codes for Optimal Rebuilding Access
- Distributed Storage Codes through Hadamard Designs
- A Piggybacking Design Framework for Read-and Download-efficient Distributed Storage Codes
- Exact-Repair Regenerating Codes Via Layered Erasure Correction and Block Designs