Improved Schemes for Asymptotically Optimal Repair of MDS Codes
Ameera Chowdhury, Alexander Vardy

TL;DR
This paper improves the subpacketization of existing MDS code constructions for network repair, achieving asymptotically optimal repair bandwidth with more efficient data representation techniques.
Contribution
It refines integer representation methods to reduce subpacketization in MDS codes while maintaining asymptotically optimal repair bandwidth.
Findings
Reduced subpacketization in Ye and Barg's codes.
Extended techniques to Wang, Tamo, and Bruck's construction.
Achieved asymptotically optimal repair bandwidth with improved efficiency.
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…
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