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A Survey and Classification of Storage Deduplication Systems

机译：存储重复数据删除系统的调查和分类

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The automatic elimination of duplicate data in a storage system, commonly known as deduplication, is increasingly accepted as an effective technique to reduce storage costs. Thus, it has been applied to different storage types, including archives and backups, primary storage, within solid-state drives, and even to random access memory. Although the general approach to deduplication is shared by all storage types, each poses specific challenges and leads to different trade-offs and solutions. This diversity is often misunderstood, thus underestimating the relevance of new research and development.The first contribution of this article is a classification of deduplication systems according to six criteria that correspond to key design decisions: granularity, locality, timing, indexing, technique, and scope. This classification identifies and describes the different approaches used for each of them. As a second contribution, we describe which combinations of these design decisions have been proposed and found more useful for challenges in each storage type. Finally, outstanding research challenges and unexplored design points are identified and discussed.
机译：在存储系统中自动消除重复数据（通常称为重复数据删除）越来越被视为降低存储成本的有效技术。因此，它已应用于不同的存储类型，包括存档和备份，固态驱动器内的主存储，甚至是随机存取存储器。尽管所有存储类型都采用通用的重复数据删除方法，但是每种方法都带来了特定的挑战，并导致了不同的权衡和解决方案。这种多样性经常被误解，因此低估了新研究和开发的意义。本文的第一贡献是根据与关键设计决策相对应的六个标准对重复数据删除系统进行了分类：粒度，位​​置，时间，索引，技术和范围。此分类标识并描述了用于每种方法的不同方法。作为第二个贡献，我们描述了已提出的这些设计决策的组合，并发现它们对每种存储类型的挑战都更有用。最后，确定并讨论了突出的研究挑战和未探索的设计要点。

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