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Repair Duality with Locally Repairable and Locally Regenerating Codes

机译:使用本地可修复和本地重新生成代码修复对偶

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We construct an explicit family of locally repairable and locally regenerating codes whose existence was proven in a recent work by Kamath et al. about codes with local regeneration but no explicit construction was given. This explicit family of codes is based on HashTag codes. HashTag codes are recently defined vector codes with different vector length α (also called a sub-packetization level) that achieve the optimal repair bandwidth of MSR codes or near-optimal repair bandwidth depending on the sub-packetization level. We applied the technique of parity-splitting code construction. We show that the lower bound on the size of the finite field for the presented explicit code constructions can be lower than the one given in the work of Kamath et al. Finally, we discuss the importance of having two ways for node repair with locally regenerating HashTag codes: repair only with local parity nodes or repair with both local and global parity nodes. To the best of the authors' knowledge, this is the first work where this duality in repair process is discussed. We give a practical example and experimental results in Hadoop where we show the benefits of having this repair duality.
机译:我们构建了一个明确的本地可修复和本地再生代码家族,其存在已被Kamath等人的最新工作证明。关于本地再生的代码,但未给出明确的构造。此明确的代码家族基于HashTag代码。 HashTag代码是最近定义的矢量代码,具有不同的矢量长度α(也称为子分组化级别),根据子分组化级别,MSR代码可实现最佳修复带宽或接近最佳修复带宽。我们应用了奇偶校验代码构造技术。我们表明,对于给出的显式代码结构,有限域大小的下限可以低于Kamath等人的工作中给出的下限。最后,我们讨论使用本地重新生成的HashTag代码进行节点修复的两种方法的重要性:仅使用本地奇偶校验节点进行修复或使用本地和全局奇偶校验节点进行修复。据作者所知,这是讨论修复过程中双重性的第一篇工作。我们在Hadoop中给出了一个实际的例子和实验结果,展示了具有这种修复双重性的好处。

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