Taurus: Lightweight Parallel Logging for In-Memory Database Management Systems
Summary: Taurus: lightweight parallel log scheme for in-memory DBMS using multiple streams and vector LSNs to encode dependencies in data and command logging. Delivers up to 9.9x data and 2.9x command speedups and up to 22.9x/75.6x faster recovery, beating prior parallel logging on NVMe/HDD. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yu Xia (Massachusetts Institute of Technology)
- 2. Xiangyao Yu (University of Wisconsin)
- 3. Andrew Pavlo (Carnegie Mellon University)
- 4. Srinivas Devadas (Massachusetts Institute of Technology)
BibTeX Citation
@article{xia_vldb21,
title = {{Taurus: Lightweight Parallel Logging for In-Memory Database Management Systems}},
author = {Xia, Yu and Yu, Xiangyao and Pavlo, Andrew and Devadas, Srinivas},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {2},
pages = {189--201},
doi = {10.14778/3425879.3425889},
url = {https://doi.org/10.14778/3425879.3425889},
year = {2021}
}
Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,243 | The Art of Latency Hiding in Modern Database Engines | 2024 | VLDB | 6.7069789e-05 |
| 6,835 | Skeena: Efficient and Consistent Cross-Engine Transactions | 2022 | SIGMOD | 5.6684174e-05 |
| 8,243 | Index Checkpoints for Instant Recovery in In-Memory Database Systems | 2022 | VLDB | 5.3701805e-05 |
| 8,341 | DecLog: Decentralized Logging in Non-Volatile Memory for Time Series Database Systems | 2024 | VLDB | 5.3517356e-05 |
| 9,727 | Tabular: Efficiently Building Efficient Indexes | 2025 | VLDB | 5.1349531e-05 |
| 9,870 | TimeCloth: Fast Point-in-Time Database Recovery in The Cloud | 2024 | SIGMOD | 5.1176637e-05 |
| 10,833 | BtrLog: Low-Latency Logging for Cloud Database Systems | 2026 | VLDB | 4.9793485e-05 |
| 11,190 | Moving on From Group Commit: Autonomous Commit Enables High Throughput and Low Latency on NVMe SSDs | 2025 | SIGMOD | 4.9793485e-05 |
| 11,766 | R3: Record-Replay-Retroaction for Database-Backed Applications | 2023 | VLDB | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 19 of 19 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 6,329 | Scalable Database Logging for Multicores | 2018 | VLDB |
| 2 | 5,113 | Fast Failure Recovery for Main-Memory DBMSs on Multicores | 2017 | SIGMOD |
| 3 | 614 | Scalable Logging through Emerging Non-Volatile Memory | 2014 | VLDB |
| 4 | 8,341 | DecLog: Decentralized Logging in Non-Volatile Memory for Time Series Database Systems | 2024 | VLDB |
| 5 | 1,437 | Write-Behind Logging | 2017 | VLDB |
| 6 | 4,848 | Rethinking Logging, Checkpoints, and Recovery for High-Performance Storage Engines | 2020 | SIGMOD |
| 7 | 1,026 | Aether: A Scalable Approach to Logging | 2010 | VLDB |
| 8 | 2,671 | Taurus Database: How to be Fast, Available, and Frugal in the Cloud | 2020 | SIGMOD |
| 9 | 3,467 | Adaptive Logging: Optimizing Logging and Recovery Costs in Distributed In-memory Databases | 2016 | SIGMOD |
| 10 | 5,363 | Taurus MM: bringing multi-master to the cloud | 2023 | VLDB |