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DumpKV: Learning based lifetime aware garbage collection for key value separation in LSM-tree

Summary: DumpKV uses key-access histories and a lightweight learned model to predict value lifetimes in KV-separated LSM-trees, replacing static GC policies. It collects features during L0–L1 compaction and cuts GC writes by 19–65% with low overhead. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
13980
Venue
VLDB
Year
2025
Pagerank
5.1814573e-05
Overall Rank
9,995 | 31.43%
DOI
10.14778/3717755.3717778

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{zhuang_vldb25,
        title = {{DumpKV: Learning based lifetime aware garbage collection for key value separation in LSM-tree}},
        author = {Zhuang, Zhutao and Zeng, Xinqi and Chen, Zhiguang},
        journal = {PVLDB},
        series = {{VLDB} '25},
        volume = {18},
        number = {4},
        pages = {1223--1236},
        doi = {10.14778/3717755.3717778},
        url = {https://doi.org/10.14778/3717755.3717778},
        year = {2025}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
10,955 DobLIX: A Dual-Objective Learned Index for Log-Structured Merge Trees 2025 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

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