English

Rack-Aware MSR Codes with Linear Field Size and Smaller Sub-Packetization for Tolerating Multiple Erasures

Information Theory 2025-11-25 v3 math.IT

Abstract

In an (n,k,d)(n,k,d) rack-aware storage model, the system consists of nn nodes uniformly distributed across nˉ\bar{n} successive racks, such that each rack contains uu nodes of equal capacity and the reconstructive degree satisfies k=kˉu+vk=\bar{k}u+v where 0vu10\leq v\leq u-1. Suppose there are h1h\geq1 failed nodes in a rack (called the host rack). Then together with its surviving nodes, the host rack downloads recovery data from dˉ\bar{d} helper racks and repairs its failed nodes. In this paper, we focus on studying the rack-aware minimum storage generating (MSR) codes for repairing hh failed nodes within the same rack. By using the coupled-layer construction with the alignment technique, we construct the first class of rack-aware MSR codes for all kˉ+1dˉnˉ1\bar{k}+1\leq\bar{d}\leq\bar{n}-1 which achieve the small sub-packetization l=sˉnˉ/sˉl=\bar{s}^{\lceil\bar{n}/\bar{s}\rceil} where the field size qq increases linearly with nn and sˉ=dˉkˉ+1\bar{s}=\bar{d}-\bar{k}+1. In addition, these codes achieve optimal repair bandwidth for 1huv1\leq h\leq u-v, and asymptotically optimal repair bandwidth for uv+1huu-v+1\leq h\leq u. In particular, they achieve optimal access when h=uvh=u-v. It is worth noting that the existing rack-aware MSR codes which achieve the same sub-packetization l=sˉnˉ/sˉl=\bar{s}^{\lceil\bar{n}/\bar{s}\rceil} are only known for the special case of dˉ=nˉ1\bar{d}=\bar{n}-1, h=1h=1, and the field size is much larger than ours. Then, based on our first construction we further develop another class of explicit rack-aware MSR codes with even smaller sub-packetization l=sˉnˉ/(sˉ+1)l=\bar{s}^{\lceil\bar{n}/(\bar{s}+1)\rceil} for all admissible values of dˉ\bar{d}.

Keywords

Cite

@article{arxiv.2506.18367,
  title  = {Rack-Aware MSR Codes with Linear Field Size and Smaller Sub-Packetization for Tolerating Multiple Erasures},
  author = {Hengming Zhao and Dianhua Wu and Minquan Cheng},
  journal= {arXiv preprint arXiv:2506.18367},
  year   = {2025}
}
R2 v1 2026-07-01T03:28:58.158Z