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引用次数: 0
摘要
我们解决了MDS阵列代码的多节点故障修复问题。目前,多节点修复主要采用两种模型:集中式模型,即在单个数据中心恢复所有故障节点;协作式模型,即故障节点从辅助节点获取数据并相互协作进行修复。本文重点研究了协作模型,并在此模型下提供了具有d个辅助节点的最优MDS阵列码的显式构造。我们的新代码的子分组级别是$(d-k+h)(d-k+1)^{\ cceil n/2 \ cceil}$,其中h是失败节点的数量,k是信息节点的数量,n是代码长度。这改进了Liu等人最近的构造(IEEE Transactions on Information Theory, Vol. 69, 2023)。
Constructing (h, d) Cooperative MSR Codes With Sub-Packetization (d − k + h)(d − k + 1)⌈n/2⌉
We address the multi-node failure repair challenges for MDS array codes. Presently, two primary models are employed for multi-node repairs: the centralized model where all failed nodes are restored in a singular data center, and the cooperative model where failed nodes acquire data from auxiliary nodes and collaborate amongst themselves for the repair process. This paper focuses on the cooperative model, and we provide explicit constructions of optimal MDS array codes with d helper nodes under this model. The sub-packetization level of our new codes is $(d-k+h)(d-k+1)^{\lceil n/2 \rceil }$ where h is the number of failed nodes, k the number of information nodes, and n the code length. This improves upon recent constructions by Liu et al. (IEEE Transactions on Information Theory, Vol. 69, 2023).
期刊介绍:
The IEEE Transactions on Information Theory is a journal that publishes theoretical and experimental papers concerned with the transmission, processing, and utilization of information. The boundaries of acceptable subject matter are intentionally not sharply delimited. Rather, it is hoped that as the focus of research activity changes, a flexible policy will permit this Transactions to follow suit. Current appropriate topics are best reflected by recent Tables of Contents; they are summarized in the titles of editorial areas that appear on the inside front cover.