Optimal exact-regenerating codes for distributed storage at the MSR and MBR points via a product-matrix construction

Rashmi, K. V. ; Shah, Nihar B. ; Vijay Kumar, P. (2011) Optimal exact-regenerating codes for distributed storage at the MSR and MBR points via a product-matrix construction IEEE Transactions on Information Theory, 57 (8). pp. 5227-5239. ISSN 0018-9448

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Official URL: http://ieeexplore.ieee.org/document/5961826/

Related URL: http://dx.doi.org/10.1109/TIT.2011.2159049

Abstract

Regenerating codes are a class of distributed storage codes that allow for efficient repair of failed nodes, as compared to traditional erasure codes. 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 a failed node be repaired by connecting to any d nodes. The amount of data downloaded for repair is typically much smaller than the size of the source data. Previous constructions of exact-regenerating codes have been confined to the case n=d+1 . In this paper, we present optimal, explicit constructions of (a) Minimum Bandwidth Regenerating (MBR) codes for all values of [n, k, d] and (b) Minimum Storage Regenerating (MSR) codes for all [n, k, d ≥ 2k-2], using a new product-matrix framework. The product-matrix framework is also shown to significantly simplify system operation. To the best of our knowledge, these are the first constructions of exact-regenerating codes that allow the number n of nodes in the network, to be chosen independent of the other parameters. The paper also contains a simpler description, in the product-matrix framework, of a previously constructed MSR code with [n=d+1, k, d ≥ 2k-1].

Item Type:Article
Source:Copyright of this article belongs to Institute of Electrical and Electronic Engineers.
Keywords:Regenerating Codes; Distributed Storage; Interference Alignment; Network Coding; Node Repair; Partial Data Recovery; Product-Matrix Framework
ID Code:110074
Deposited On:31 Jan 2018 09:59
Last Modified:31 Jan 2018 09:59

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