Memory-Optimized Multi-Version Concurrency Control for Disk-Based Database Systems
Summary: Memory-optimized MVCC for disk-based DBs leverages in-memory versioning metadata to minimize concurrency control. Rare large writes fall back to a lightweight mechanism, yielding up to an order of magnitude higher throughput than existing disk-based systems. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Michael Freitag (Technical University of Munich)
- 2. Alfons Kemper (Technical University of Munich)
- 3. Thomas Neumann (Technical University of Munich)
BibTeX Citation
@article{freitag_vldb22,
title = {{Memory-Optimized Multi-Version Concurrency Control for Disk-Based Database Systems}},
author = {Freitag, Michael and Kemper, Alfons and Neumann, Thomas},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {11},
pages = {2797--2810},
doi = {10.14778/3551793.3551832},
url = {https://doi.org/10.14778/3551793.3551832},
year = {2022}
}Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,360 | LeanStore: A High-Performance Storage Engine for NVMe SSDs | 2024 | VLDB | 6.1614422e-05 |
| 7,221 | Two Birds With One Stone: Designing a Hybrid Cloud Storage Engine for HTAP | 2024 | VLDB | 5.5828002e-05 |
| 7,735 | Scalable and Robust Snapshot Isolation for High-Performance Storage Engines | 2023 | VLDB | 5.4631389e-05 |
| 9,727 | Tabular: Efficiently Building Efficient Indexes | 2025 | VLDB | 5.1349531e-05 |
| 10,569 | Focus! Fast On-disk Concurrency-control Using Sketches | 2026 | SIGMOD | 4.9793485e-05 |
| 10,763 | Swan: Hybrid MVCC Management for Efficient Transaction Processing in LSM-Tree-Based Key-Value Stores | 2026 | VLDB | 4.9793485e-05 |
| 11,352 | Enhancing Transaction Processing through Indirection Skipping | 2025 | VLDB | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 35 of 35 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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