具有精确修复和小子分组的最小存储货架感知再生码

Hanxu Hou, P. Lee, Y. Han
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引用次数: 13

摘要

现代数据中心通常将存储节点组织在机架中,机架间的通信成本通常比机架内的通信成本高得多。最近提出了机架感知再生码,以实现存储冗余和跨机架修复带宽之间的最佳权衡,前提是原始数据可以从足够数量的任何非故障节点重构。在本文中,我们提出了一种编码框架,将任意最小存储再生(MSR)代码转换为最小存储机架感知再生(MSRR)代码,使跨机架修复带宽在最小存储冗余的情况下最小化。为此,我们可以为所有允许的参数构造一组MSRR代码的精确修复结构。此外,我们的结构实现了低子分组,这对于减少修复期间的I/O开销至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Minimum Storage Rack-Aware Regenerating Codes with Exact Repair and Small Sub-Packetization
Modern data centers often organize storage nodes in racks, in which the cross-rack communication cost is typically much higher than the intra-rack communication cost. Rack-aware regenerating codes have recently been proposed to achieve the optimal trade-off between storage redundancy and cross-rack repair bandwidth, subject to the condition that the original data can be reconstructed from a sufficient number of any non-failed nodes. In this paper, we present a coding framework that transforms any minimum-storage regenerating (MSR) code to a minimum-storage rack-aware regenerating (MSRR) code, such that the cross-rack repair bandwidth is minimized subject to the minimum storage redundancy. To this end, we can construct a family of exact-repair constructions for the MSRR codes for all admissible parameters. Furthermore, our constructions achieve low sub-packetization, which is critical for mitigating the I/O overhead during repair.
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