New Cauchy MDS Array Codes with Flexible Sub-Packetization and Efficient Decoding

Peikai Li, Jingjie Lv, Linqi Song*, Li Zhang, Hanxu Hou*

*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

1 Citation (Scopus)

Abstract

Cauchy maximum distance separable (MDS) array codes are widely used in storage systems that can support high fault tolerance with systematic form. However, Cauchy MDS array codes suffer from high encoding/decoding complexities and limited parameters. In this paper, we first construct new Cauchy MDS array codes with circulant structure over quotient rings that have flexible sub-packetization. We show that our codes can support more parameters than the existing Cauchy MDS array codes. The sub-packetization of our codes is a multiple of prime minus one, while the sub-packetization of the existing Rabin-Like codes and circulant Cauchy codes is prime minus one. Second, we propose a fast decoding method by designing new division algorithm and employing the LU decomposition of Cauchy matrix for the proposed Cauchy MDS array codes. We show that the decoding complexity of our codes is nearly the same as new Rabin-Like codes [16], and lower than all the other Cauchy MDS array codes. © 2024 IEEE.
Original languageEnglish
Title of host publication2024 IEEE Information Theory Workshop (ITW)
PublisherIEEE
Pages19-24
ISBN (Electronic)979-8-3503-4893-4
DOIs
Publication statusPublished - 2024
Event2024 IEEE Information Theory Workshop (ITW'24) - Sheraton Shenzhen Nanshan Hotel, Shenzhen, China
Duration: 24 Nov 202428 Nov 2024
https://www.ieee-itw2024.org/
https://ieee-itw2024.org/

Publication series

NameIEEE Information Theory Workshop, ITW

Conference

Conference2024 IEEE Information Theory Workshop (ITW'24)
PlaceChina
CityShenzhen
Period24/11/2428/11/24
Internet address

Fingerprint

Dive into the research topics of 'New Cauchy MDS Array Codes with Flexible Sub-Packetization and Efficient Decoding'. Together they form a unique fingerprint.

Cite this