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Swan: Hybrid MVCC Management for Efficient Transaction Processing in LSM-Tree-Based Key-Value Stores
Summary: Swan hybridizes in-memory and out-of-memory MVCC, pairing fast visibility checks with low commit latency and memory use for large write transactions. Transaction-aware separation, an uncommitted-data stash, and concurrent memtable flushing adapt MVCC to LSM stores.
(summarized by gpt-5.6-luna on Aug 17 2026)
Paper ID
h1f4737335cd60d9e
Venue
VLDB
Year
2026
Pagerank
4.9605343e-05
Overall Rank
10,834 | 27.38%
DOI
10.14778/3819518.3819528
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(CC BY-NC-ND 4.0)
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Authors
1.
Yang Guo
(Chinese University of Hong Kong)
2.
Jin Xue
(Chinese University of Hong Kong)
3.
Zili Shao
(Chinese University of Hong Kong)
BibTeX Citation
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@article{guo_vldb26,
title = {{Swan: Hybrid MVCC Management for Efficient Transaction Processing in LSM-Tree-Based Key-Value Stores}},
author = {Guo, Yang and Xue, Jin and Shao, Zili},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {9},
pages = {1977--1990},
doi = {10.14778/3819518.3819528},
url = {https://doi.org/10.14778/3819518.3819528},
year = {2026}
}
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Outgoing Citations (Sorted by Pagerank)
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