Author :
Rashmi, K.V. ; Shah, Nihar B. ; Kumar, P. Vijay
Author_Institution :
Dept. of Electr. Com munication Eng., Indian Inst. of Sci., Bangalore, India
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].
Keywords :
codes; matrix algebra; storage management; distributed storage codes; erasure codes; minimum bandwidth regenerating codes; minimum storage regenerating codes; optimal exact-regenerating codes; product-matrix construction; product-matrix framework; Bandwidth; Context; Encoding; Joining processes; Maintenance engineering; Symmetric matrices; Systematics; Distributed storage; interference alignment; network coding; node repair; partial data recovery; product-matrix framework; regenerating codes;