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Constructions of High-Rate Minimum Storage Regenerating Codes Over Small Fields

机译:小字段上高速率最小存储再生代码的构造

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摘要

A novel technique for construction of minimum storage regenerating (MSR) codes is presented. Based on this technique, three explicit constructions of MSR codes are given. The first two constructions provide access-optimal MSR codes, with two and three parities, respectively, which attain the sub-packetization bound for access-optimal codes. The third construction provides longer MSR codes with three parities (i.e., codes with larger number of systematic nodes). This improvement is achieved at the expense of the access-optimality and the field size. In addition to a minimum storage in a node, all three constructions allow the entire data to be recovered from a minimal number of storage nodes. That is, given storage ℓ in each node, the entire stored data can be recovered from any 2 log2 ℓ for two parity nodes, and either 3 log3 ℓ or 4 log3 ℓ for three parities. Second, in the first two constructions, a helper node accesses the minimum number of its symbols for repair of a failed node (access-optimality). The goal of this paper is to provide a construction of such optimal codes over the smallest possible finite fields. The generator matrix of these codes is based on perfect matchings of complete graphs and hypergraphs, and on a rational canonical form of matrices. For two parities, the field size is reduced by a factor of two for access-optimal codes compared to previous constructions. For three parities, in the first construction a field size of at least 6 log3 ℓ +1 (or 3 log3 ℓ +1 for fields with characteristic 2) is sufficient, and in the second construction the field size is larger, yet linear in log3 ℓ. Both constructions with three parities provide a significant improvement over previous works due to either decreased field size or lower subpacketization.
机译:提出了一种用于最小存储再生(MSR)代码构造的新技术。基于此技术,给出了三种显式的MSR码构造。前两个构造分别提供具有两个和三个奇偶校验的访问最优MSR码,这些奇偶校验实现了访问最优码的子分组绑定。第三种结构提供具有三个奇偶校验的较长的MSR代码(即,具有更大数量的系统节点的代码)。以访问优化和字段大小为代价实现此改进。除了节点中的最少存储量之外,所有这三种构造都允许从最少数量的存储节点中恢复整个数据。也就是说,给定每个节点中的存储,可以从两个奇偶校验节点的任何2 log2ℓ和三个奇偶校验的3 log3或4 log3 3中恢复整个存储的数据。其次,在前两个构造中,辅助节点访问其符号的最小数量以修复故障节点(访问优化)。本文的目的是在最小可能的有限域上提供这种最优代码的构造。这些代码的生成器矩阵基于完整图和超图的完美匹配以及矩阵的有理规范形式。对于两个奇偶校验,与先前的构造相比,对于访问最优代码,字段大小减小了两倍。对于三个奇偶校验,在第一种构造中,字段大小至少为6 log3ℓ+1(或对于具有特征2的字段,至少为3 log3ℓ+1)就足够了;在第二种构造中,字段大小较大,但在log3中是线性的ℓ。由于田间尺寸减小或子分组化程度降低,两种具有三个奇偶校验的构造都比以前的工作有了显着改进。

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