English

Constructions of High-Rate MSR Codes over Small Fields

Information Theory 2016-01-29 v3 math.IT

Abstract

A novel technique for construction of minimum storage regenerating (MSR) codes is presented. Based on this technique, three explicit constructions of MSR codes are given. The first two constructions provide access-optimal MSR codes, with two and three parities, respectively, which attain the sub-packetization bound for access-optimal codes. The third construction provides longer MSR codes with three parities, which are not access-optimal, and do not necessarily attain the sub-packetization bound. In addition to a minimum storage in a node, all three constructions allow the entire data to be recovered from a minimal number of storage nodes. That is, given storage \ell in each node, the entire stored data can be recovered from any 2log22\log_2 \ell for 2 parity nodes, and either 3log33\log_3\ell or 4log34\log_3\ell for 3 parity nodes. Second, in the first two constructions, a helper node accesses the minimum number of its symbols for repair of a failed node (access-optimality). The generator matrix of these codes is based on perfect matchings of complete graphs and hypergraphs, and on a rational canonical form of matrices. The goal of this paper is to provide a construction of such optimal codes over the smallest possible finite fields. For two parities, the field size is reduced by a factor of two for access-optimal codes compared to previous constructions. For three parities, in the first construction the field size is 6log3+16\log_3 \ell+1 (or 3log3+13\log_3 \ell+1 for fields with characteristic 2), and in the second construction the field size is larger, yet linear in log3\log_3\ell. Both constructions with 3 parities provide a significant improvement over existing previous works, since only non-explicit constructions with exponential field size (in log3\log_3\ell) were known so far.

Keywords

Cite

@article{arxiv.1505.00919,
  title  = {Constructions of High-Rate MSR Codes over Small Fields},
  author = {Netanel Raviv and Natalia Silberstein and Tuvi Etzion},
  journal= {arXiv preprint arXiv:1505.00919},
  year   = {2016}
}
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