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S3: A Scalable In-memory Skip-List Index for Key-Value Store

Summary: S3 is a RocksDB-compatible, scalable in-memory skip list designed for variable-sized data and efficient disk flushing. Its cache-sensitive guard layer, semi-ordered concurrent skip list, and workload-aware neural guard selection deliver fast lookup/range queries at scale. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
12125
Venue
VLDB
Year
2019
Pagerank
5.2606222e-05
Overall Rank
9,498 | 34.84%
DOI
10.14778/3352063.3352134

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{zhang_vldb19,
        title = {{S3: A Scalable In-memory Skip-List Index for Key-Value Store}},
        author = {Zhang, Jingtian and Wu, Sai and Tan, Zeyuan and Chen, Gang and Cheng, Zhushi and Cao, Wei and Gao, Yusong and Feng, Xiaojie},
        journal = {PVLDB},
        series = {{VLDB} '19},
        volume = {12},
        number = {12},
        pages = {2183--2194},
        doi = {10.14778/3352063.3352134},
        url = {https://doi.org/10.14778/3352063.3352134},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
7,189 BP-tree: Overcoming the Point-Range Operation Tradeoff for In-Memory B-trees 2023 VLDB 5.6775326e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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