Random Extraction from Compressed Data - A Practical Study

Data Compression Conference(2013)

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摘要
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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information storage,random extraction from compressed data,real time compression,zlib-code base,compressed block,fundamental tradeoff,code base,adaptive compression,data compression,compressed data,modern primary storage system,random extraction,practical study,random location,lz77 algorithm,lz77,huffman algorithm,random place,storage,primary storage systems,zlib,real time,adaptive codes,huffman codes,good compression,needed part,data mining,decoding,encoding,real time systems
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