Regenerating codes: what matters in practice?

Details Regenerating codes: what matters in practice? Regenerating codes: what matters in practice?

2012-04-23

arxiv.org/abs/1204.5028v1

Computer Science

Distributed, Parallel, and Cluster Computing

5 pages, 11 figures

Scientific paper

The explosion of the amount of data stored in cloud systems calls for more efficient paradigms for redundancy. While replication is widely used to ensure data availability, codes provide a much better trade-off between storage and availability. Regenerating codes are good candidates for they also offer low repair costs in term of network bandwidth. While they have been proven optimal, they are difficult to understand and parameterize. In this paper we provide an analysis of regenerating codes for practitioners to grasp the various trade-offs. More specifically we make two contributions: (i) we study the impact of the parameters by conducting an analysis at the level of the system, rather than at the level of a single device; (ii) we compare the computational costs of various implementations of codes and highlight the most efficient ones. Our goal is to provide system designers with concrete information to help them choose the most relevant parameters and code design for regenerating codes.

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