分数重叠聚类奇偶校验:存储系统可靠性评估

2020 IEEE/ACM Fifth International Parallel Data Systems Workshop (PDSW) Pub Date : 2020-11-01 DOI:10.1109/PDSW51947.2020.00009

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

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引用次数: 0

摘要

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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Fractional-Overlap Declustered Parity: Evaluating Reliability for Storage Systems

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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2020 IEEE/ACM Fifth International Parallel Data Systems Workshop (PDSW)

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