Designs, Codes and Cryptography

, Volume 87, Issue 12, pp 2753–2770 | Cite as

A new piggybacking design for systematic MDS storage codes

  • Chong Shangguan
  • Gennian GeEmail author


Distributed storage codes have important applications in the design of modern storage systems. In a distributed storage system, every storage node has a probability to fail and once an individual storage node fails, it must be reconstructed using the data stored in the surviving nodes. Computation load and network bandwidth are two important issues we need to concern when repairing a failed node. Generally speaking, the naive maximum distance separable (MDS) storage codes have low repair complexity but high repair bandwidth. On the contrary, minimum storage regenerating codes have low repair bandwidth but high repair complexity. Fortunately, the newly introduced piggybacked codes combine the advantages of both ones. The main result of this paper is a novel piggybacking design framework for \((k+r,k)\) systematic MDS storage codes, where kr denote the number of systematic nodes and the number of parity nodes, respectively. In the new code, the average repair bandwidth rate for the systematic nodes, i.e., the ratio of the average repair bandwidth of a single failed systematic node and the amount of the original data, can be as low as \(\sqrt{\frac{2}{r}}+\frac{1}{2r}+\frac{3}{k}+\frac{\sqrt{2r}}{k^2}\), which is roughly \(\sqrt{\frac{2}{r}}+\frac{1}{2r}\) when the code has high rate \(k\gg r\). For relatively large r (e.g., \(r\ge 6\)), this result significantly improves the previously known one which has average repair bandwidth rate roughly \(\frac{r-1}{2r-1}\). In the meanwhile, every failed systematic node of the new code can be reconstructed quickly using the decoding algorithm of a classical MDS code, only with some additional additions over the underlying finite field.


Distributed storage system Systematic MDS code Piggybacked code 

Mathematics Subject Classification

68P20 68P30 



The authors express their great gratitude to the two anonymous reviewers for their detailed and constructive comments which are very helpful to the improvement of the presentation of this paper.


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© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.School of Mathematical SciencesCapital Normal UniversityBeijingChina
  2. 2.School of Mathematical SciencesZhejiang UniversityHangzhouChina

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