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)
Incoming Non-self Citations Over Time
Authors
- 1. Zeyan Li
- 2. Jie Song
- 3. Tieying Zhang
- 4. Yingjie Ye
- 5. Pengfei Duan
- 6. Tao Yang
- 7. Xiongjun Ou
- 8. Jianjun Chen
- 9. Muchen Lin
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,218 | Unseen Anomaly Detection from System Logs | 2026 | SIGMOD | 4.1905499e-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 |
|---|---|---|---|---|
| 3,263 | AS-Parser: Log Parsing Based on Adaptive Segmentation | 2023 | SIGMOD | 7.307731e-05 |
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Semantically Similar Papers
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| 10,617 | LogCloud: Fast Search of Compressed Logs on Object Storage | 2025 | VLDB | 4.1905499e-05 |
| 3,263 | AS-Parser: Log Parsing Based on Adaptive Segmentation | 2023 | SIGMOD | 7.307731e-05 |
| 4,387 | LogStore: A Cloud-Native and Multi-Tenant Log Database | 2021 | SIGMOD | 6.2219283e-05 |