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Codes With Locality for Two Erasures.

Authors :
Prakash, N.
Lalitha, V.
Balaji, S. B.
Vijay Kumar, P.
Source :
IEEE Transactions on Information Theory. Dec2019, Vol. 65 Issue 12, p7771-7789. 19p.
Publication Year :
2019

Abstract

Codes with locality are a class of codes introduced by Gopalan et al. to efficiently repair a failed node, by minimizing the number of nodes contacted during repair. An $[n,k]$ systematic code is said to have information locality $r$ , if each message symbol can be recovered by accessing $\leq r$ other symbols. An $[n,k]$ code is said to have all-symbol locality $r$ , if each code symbol can be recovered by accessing $\leq r$ other symbols. In this paper, we consider a generalization of codes with all-symbol locality to the case of handling two erasures. We study codes with locality that can recover from two erasures via a sequence of two local, parity-check computations. We refer to these codes as sequential-recovery locally repairable codes (denoted by 2-seq LR codes). Earlier approaches to handling multiple erasures considered recovery in parallel; the sequential approach allows us to potentially construct codes with improved minimum distance. We derive an upper bound on the rate of 2-seq LR codes. We provide constructions based on regular graphs which are rate-optimal with respect to the derived bound. We also characterize the structure of any rate-optimal code. By studying the Generalized Hamming Weights of the dual code, we derive a recursive upper bound on the minimum distance of 2-seq LR codes. We also provide constructions of a family of codes based on Turán graphs, that are optimal with respect to this bound. We also present explicit distance-optimal Turán graph based constructions of 2-seq LR codes for certain parameters. Our approach also leads to a new bound on the minimum distance of codes with all-symbol locality for the single-erasure case. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00189448
Volume :
65
Issue :
12
Database :
Academic Search Index
Journal :
IEEE Transactions on Information Theory
Publication Type :
Academic Journal
Accession number :
139785852
Full Text :
https://doi.org/10.1109/TIT.2019.2934124