Fractional-Overlap Declustered Parity: Evaluating Reliability for Storage Systems

Huan Ke, Haryadi S. Gunawi, Dominic Manno, David Bonnie, B. Settlemyer
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Abstract

In this paper, we propose a flexible and practical data protection scheme, fractional-overlap declustered parity (FODP), to explore the trade-offs between fault tolerance and rebuild performance. Our experiments show that FODP is able to bring forth up to 99% less probability of data loss in the presence of various failure regimes. Furthermore, by adding one additional spare drive capacity within each server, FODP yields up to 99% reduction in granularity of data loss.
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分数重叠聚类奇偶校验:存储系统可靠性评估
在本文中,我们提出了一种灵活实用的数据保护方案,分数重叠聚类奇偶校验(FODP),以探索容错性和重建性能之间的权衡。我们的实验表明,在存在各种失效机制的情况下,FODP能够使数据丢失的概率降低99%。此外,通过在每个服务器中添加一个额外的备用驱动器容量,FODP可以将数据丢失的粒度减少99%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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