Index Checkpoints for Instant Recovery in In-Memory Database Systems
Summary: Targets index rebuilding—the post-instant-recovery bottleneck in in-memory DBMSs—via consistent, wait-free index checkpoints (ChainIndex, MirrorIndex, IACoW). Deferred deletion and recovery cleanup enable ~10 s recovery with only 5–11% runtime overhead. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Leon Lee (Huawei)
- 2. Siphrey Xie (Huawei)
- 3. Yunus Ma (Huawei)
- 4. Shimin Chen (Chinese Academy of Sciences)
BibTeX Citation
@article{lee_vldb22,
title = {{Index Checkpoints for Instant Recovery in In-Memory Database Systems}},
author = {Lee, Leon and Xie, Siphrey and Ma, Yunus and Chen, Shimin},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {8},
pages = {1671--1683},
doi = {10.14778/3529337.3529350},
url = {https://doi.org/10.14778/3529337.3529350},
year = {2022}
}
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,686 | TDSQL: Tencent Distributed Database System | 2024 | VLDB | 5.5676271e-05 |
| 8,978 | Unlocking the Potential of CXL for Disaggregated Memory in Cloud-Native Databases | 2025 | SIGMOD | 5.3406001e-05 |
| 9,547 | Tabular: Efficiently Building Efficient Indexes | 2025 | VLDB | 5.2528121e-05 |
| 9,667 | HiEngine: How to Architect a Cloud-Native Memory-Optimized Database Engine | 2022 | SIGMOD | 5.2401605e-05 |
| 11,218 | Breathing New Life into An Old Tree: Resolving Logging Dilemma of B+-tree on Modern Computational Storage Drives | 2024 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 24 of 24 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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