Adaptive and Efficient Log Parsing as a Cloud Service

Summary: ByteBrain-LogParser: cloud-native log parsing with hierarchical clustering for real-time precision. Core optimizations: positional similarity distance, deduplication, and hash encoding; yield 229k logs/s with 8.4x speedup and state-of-the-art accuracy. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 7152
Venue: SIGMOD
Year: 2025
Pagerank: 5.6029996e-05
Overall Rank: 7,499 | 48.56%
DOI: 10.1145/3722212.3724427

Incoming Non-self Citations Over Time

Authors

1. Zeyan Li (ByteDance)
2. Jie Song (ByteDance)
3. Tieying Zhang (ByteDance)
4. Yingjie Ye (ByteDance)
5. Pengfei Duan (ByteDance)
6. Tao Yang (ByteDance)
7. Xiongjun Ou (ByteDance)
8. Jianjun Chen (ByteDance)
9. Muchen Lin (ByteDance)

BibTeX Citation

@inproceedings{li_sigmod25,
        title = {{Adaptive and Efficient Log Parsing as a Cloud Service}},
        author = {Li, Zeyan and Song, Jie and Zhang, Tieying and Ye, Yingjie and Duan, Pengfei and Yang, Tao and Ou, Xiongjun and Chen, Jianjun and Lin, Muchen},
        series = {{SIGMOD} '25},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3722212.3724427},
        url = {https://dl.acm.org/doi/10.1145/3722212.3724427},
        year = {2025}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
10,507	Unseen Anomaly Detection from System Logs	2026	SIGMOD	5.093636e-05

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
4,502	AS-Parser: Log Parsing Based on Adaptive Segmentation	2023	SIGMOD	6.6599757e-05

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