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Adaptive Log Compression for Massive Log Data

Summary: Adaptive log compression for massive log data, with data-driven tuning to exploit log-specific redundancies. Delivers ~30% better compression ratios vs. state-of-the-art, demonstrating scalable performance for high-volume log processing. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4747
Venue
SIGMOD
Year
2013
Pagerank
4.7317713e-05
Overall Rank
7,430 | 48.32%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
9,595 High-Ratio Compression for Machine-Generated Data 2023 SIGMOD 4.3194469e-05
10,658 LLMLog: Advanced Log Template Generation via LLM-driven Multi-Round Annotation 2025 VLDB 4.1945683e-05
10,700 LogLite: Lightweight Plug-and-Play Streaming Log Compression 2025 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
727 On Synopses for Distinct-Value Estimation Under Multiset Operations 2007 SIGMOD 0.00017508726
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