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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)

Paper ID
12560
Venue
VLDB
Year
2021
Pagerank
5.8490101e-05
Overall Rank
6,531 | 55.20%
DOI
10.14778/3425879.3425889

Incoming Non-self Citations Over Time

Authors

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 8 of 8 citing papers.

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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.

Rank Cited Paper Year Venue Pagerank
7 Implementation Techniques For Main Memory Database Systems 1984 SIGMOD 0.00083340894
38 Hekaton: SQL Server’s Memory-Optimized OLTP Engine 2013 SIGMOD 0.00047648573
83 H-Store: A High-Performance, Distributed Main Memory Transaction Processing System 2008 VLDB 0.00036185259
133 A Case for Redundant Arrays of Inexpensive Disks (RAID) 1988 SIGMOD 0.00030370315
172 High-Performance Concurrency Control Mechanisms for Main-Memory Databases 2012 VLDB 0.00027281663
473 Staring into the Abyss: An Evaluation of Concurrency Control with One Thousand Cores 2015 VLDB 0.00017900942
537 FOEDUS: OLTP Engine for a Thousand Cores and NVRAM 2015 SIGMOD 0.00016931517
603 Scalable Logging through Emerging Non-Volatile Memory 2014 VLDB 0.00015853456
841 Let’s Talk About Storage & Recovery Methods for Non-Volatile Memory Database Systems 2015 SIGMOD 0.00013677356
1,014 Aether: A Scalable Approach to Logging 2010 VLDB 0.00012650747
1,480 Write-Behind Logging 2017 VLDB 0.00010649376
2,338 NVRAM-aware Logging in Transaction Systems 2015 VLDB 8.7254375e-05
2,371 REWIND: Recovery Write-Ahead System for In-Memory Non-Volatile Data-Structures 2015 VLDB 8.6793374e-05
2,924 Constant Time Recovery in Azure SQL Database 2019 VLDB 7.9562091e-05
3,448 Adaptive Logging: Optimizing Logging and Recovery Costs in Distributed In-memory Databases 2016 SIGMOD 7.4079432e-05
3,880 Controlled Lock Violation 2013 SIGMOD 7.0491452e-05
5,024 Fast Failure Recovery for Main-Memory DBMSs on Multicores 2017 SIGMOD 6.3977285e-05
6,265 Scalable Database Logging for Multicores 2018 VLDB 5.9356364e-05
6,792 Border-Collie: A Wait-free, Read-optimal Algorithm for Database Logging on Multicore Hardware 2019 SIGMOD 5.7721543e-05
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