从压缩数据中随机抽取——一个实用的研究

C. Constantinescu, Joseph S. Glider, D. Simha, D. Chambliss
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引用次数: 0

摘要

现代主存储系统支持或打算添加对实时压缩的支持,通常基于LZ77和/或Huffman算法的某种风格。在这样的系统中添加实时(自适应)压缩有一个基本的权衡:为了获得良好的压缩,压缩的数据量(独立压缩的块)应该很大,为了能够从随机位置快速读取,块应该很小。一个想法是让独立压缩的块很大,但能够从压缩块内的随机位置开始解压缩块的所需部分。我们探索了这个想法,并将其与几个替代方案进行了比较,用\zlib\代码库进行了实验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Random Extraction from Compressed Data - A Practical Study
Modern primary storage systems support or intend to add support for real time compression usually based on some flavor of the LZ77 and/or Huffman algorithm. There is a fundamental tradeoff in adding real time (adaptive) compression to such a system: to get good compression the amount of compressed data (the independently compressed block) should be large, to be able to read quickly from random places the blocks should be small. One idea is to let the independently compressed blocks be large but to be able to start decompressing the needed part of the block from a random location inside the compressed block. We explore this idea and compare it with a few alternatives, experimenting with the \zlib\ code base.
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