Improved Schemes for Asymptotically Optimal Repair of MDS Codes
Abstract
We consider MDS codes of length , dimension , and subpacketization over a finite field . A codeword of such a code consists of column-vectors of length over , with the property that any of them suffice to recover the entire codeword. Each of these vectors may be stored on a separate node in a network. If one of the nodes fails, we can recover its content by downloading symbols from the surviving nodes, and the total number of symbols downloaded in the worst case is called the repair bandwidth of the code. By the cut-set bound, the repair bandwidth of an MDS code is at least . There are several constructions of MDS codes whose repair bandwidth meets or asymptotically meets the cut-set bound. For example, Ye and Barg constructed Reed--Solomon codes that asymptotically meet the cut-set bound, where . Ye and Barg also constructed optimal-bandwidth and optimal-update MDS codes. Wang, Tamo, and Bruck constructed optimal-bandwidth MDS codes, and these codes have the smallest known subpacketization for optimal-bandwidth MDS codes. A key idea in all these constructions is to represent certain integers in base . We show how this technique can be refined to improve the subpacketization of the two MDS code constructions by Ye and Barg, while achieving asymptotically optimal repair bandwidth. Specifically, when for an integer ,we obtain an Reed--Solomon code and an optimal-update MDS code, both having asymptotically optimal repair bandwidth. We also present an extension of this idea to reduce the subpacketization of the Wang--Tamo--Bruck construction while achieving a repair-by-transfer scheme with asymptotically optimal repair bandwidth.
Keywords
Cite
@article{arxiv.1710.01867,
title = {Improved Schemes for Asymptotically Optimal Repair of MDS Codes},
author = {Ameera Chowdhury and Alexander Vardy},
journal= {arXiv preprint arXiv:1710.01867},
year = {2021}
}
Comments
To appear in IEEE Transactions on Information Theory