重复数据删除的容错结果建模

Eric Rozier, W. Sanders, Pin Zhou, N. Mandagere, Sandeep Uttamchandani, Mark L. Yakushev
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引用次数: 20

摘要

现代存储系统对重复数据删除的应用越来越频繁。通常部署这些技术的存储系统包含重要数据,并且利用容错硬件和软件来提高系统的可靠性并减少数据丢失。我们建议,重复数据删除引入了文件间关系,这种关系可能会产生依赖性,从而增加数据丢失事件的严重程度,从而对此类系统的容错能力产生负面影响。我们提出了一个由数据分析方法和重复数据删除模型组成的框架,该框架有助于研究重复数据删除对可靠性的影响。该框架对于确定估计满足用户提供的一组可靠性约束的重复数据删除策略非常有用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling the Fault Tolerance Consequences of Deduplication
Modern storage systems are employing data deduplication with increasing frequency. Often the storage systems on which these techniques are deployed contain important data, and utilize fault-tolerant hardware and software to improve the reliability of the system and reduce data loss. We suggest that data deduplication introduces inter-file relationships that may have a negative impact on the fault tolerance of such systems by creating dependencies that can increase the severity of data loss events. We present a framework composed of data analysis methods and a model of data deduplication that is useful in studying the reliability impact of data deduplication. The framework is useful for determining a deduplication strategy that is estimated to satisfy a set of reliability constraints supplied by a user.
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