Adaptive log compression for massive log data

  • Authors:

  • Robert Christensen;Feifei Li

  • Affiliations:

  • University of Utah, Salt Lake City, UT, USA;University of Utah, Salt Lake City, UT, USA

  • Venue:
  • Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
  • Year:
  • 2013

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Abstract

We present a novel adaptive log compression scheme. Results show 30% improvement on compression ratios over existing approaches.