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Published in:
2013 | OriginalPaper | Chapter
On the Value of Multiple Read/Write Streams for Data Compression
Author : Travis Gagie
Published in: Information Theory, Combinatorics, and Search Theory
Publisher: Springer Berlin Heidelberg
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We study whether, when restricted to using polylogarithmic memory and polylogarithmic passes, we can achieve qualitatively better data compression with multiple read/write streams than we can with only one. We first show how we can achieve universal compression using only one pass over one stream. We then show that one stream is not sufficient for us to achieve good grammar-based compression. Finally, we show that two streams are necessary and sufficient for us to achieve entropy-only bounds.