dedupv1:使用SSD (solid state drives)提高重复数据删除吞吐量

Dirk Meister, A. Brinkmann
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引用次数: 92

摘要

重复数据删除系统发现并消除数据块之间的冗余。对冗余数据块的搜索通常基于对块的内容进行散列,并将结果散列值与索引中已存储的条目进行比较。如果索引不适合主存,那么硬盘有限的随机IO性能会限制此类系统的总体吞吐量。本文介绍了使用固态驱动器(ssd)的dedupv1重复数据删除系统的体系结构,与基于磁盘的系统相比,该系统可以提高吞吐量。dedupv1旨在使用SSD技术的最佳点(随机读取和顺序操作),同时避免数据路径内的随机写入。这是通过使用混合重复数据删除设计实现的。它是一个内联重复数据删除系统,因为它在线执行分块和指纹识别,并且只存储新数据,但是它能够延迟大部分处理和IO操作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
dedupv1: Improving deduplication throughput using solid state drives (SSD)
Data deduplication systems discover and remove redundancies between data blocks. The search for redundant data blocks is often based on hashing the content of a block and comparing the resulting hash value with already stored entries inside an index. The limited random IO performance of hard disks limits the overall throughput of such systems, if the index does not fit into main memory. This paper presents the architecture of the dedupv1 dedupli-cation system that uses solid-state drives (SSDs) to improve its throughput compared to disk-based systems. dedupv1 is designed to use the sweet spots of SSD technology (random reads and sequential operations), while avoiding random writes inside the data path. This is achieved by using a hybrid deduplication design. It is an inline deduplication system as it performs chunking and fingerprinting online and only stores new data, but it is able to delay much of the processing as well as IO operations.
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