~/talk

μSlope: High Compression and Fast Search on Semi-Structured Logs

name:Rui Wang
links:none on file
links:none on file
links:none on file
name:Yu Luo
links:none on file
name:Yun Zhang
links:none on file
links:none on file
name:Yupeng Fu
links:none on file
name:Ting Chen
links:none on file
name:Ding Yuan
links:none on file
slides:none on file

μSlope losslessly compresses semi-structured logs by extracting and storing schema trees once, grouping records with the same schema into encoded record tables, and encoding columns by type (variable dictionary, timestamp patterns, binary numbers). It uses a merged Parts Tree and schema map to find matching schemas so queries run with minimal decompression. Evaluation on 21 datasets reports 21.9:1–186.8:1 compression (2.34× better than Zstandard) and search up to 5.77× faster than other SSDMSes; implementation is open source.

AI-written summary · about

  1. 0:00Introduction
  2. 0:33Challenges of log management
  3. 4:31Limitations of prior systems
  4. 6:49System design observations
  5. 8:16Data encoding and structures
  6. 10:56Architecture and search
  7. 12:58Evaluation and results
  8. 14:48Conclusion
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