Optimal Exact-Regenerating Codes for Distributed Storage at the MSR and MBR Points via a Product-Matrix Construction
K. V. Rashmi, Nihar B. Shah, P. Vijay Kumar

TL;DR
This paper introduces explicit, optimal constructions of exact-regenerating codes for distributed storage that work for all feasible parameters, simplifying system operation and allowing flexible network size choices.
Contribution
It provides the first explicit constructions of exact-regenerating codes for all parameters, independent of network size, using a novel product-matrix framework.
Findings
Constructed optimal MBR codes for all feasible [n, k, d] values.
Developed MSR codes for all [n, k, d >= 2k-2] parameters.
Simplified system operation through the product-matrix approach.
Abstract
Regenerating codes are a class of distributed storage codes that optimally trade the bandwidth needed for repair of a failed node with the amount of data stored per node of the network. Minimum Storage Regenerating (MSR) codes minimize first, the amount of data stored per node, and then the repair bandwidth, while Minimum Bandwidth Regenerating (MBR) codes carry out the minimization in the reverse order. An [n, k, d] regenerating code permits the data to be recovered by connecting to any k of the n nodes in the network, while requiring that repair of a failed node be made possible by connecting (using links of lesser capacity) to any d nodes. Previous, explicit and general constructions of exact-regenerating codes have been confined to the case n=d+1. In this paper, we present optimal, explicit constructions of MBR codes for all feasible values of [n, k, d] and MSR codes for all [n, k,…
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