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nKV in Action: Accelerating KV-Stores on Native Computational Storage with Near-Data Processing

Summary: nKV uses native computational storage and near-data processing to accelerate a KV-store with reduced data movement. In-situ GET/SCAN and Betweenness Centrality yield 1.4x-2.7x gains on COSMOS+ hardware. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12368
Venue
VLDB
Year
2020
Pagerank
5.5095061e-05
Overall Rank
7,997 | 45.14%
DOI
10.14778/3415478.3415524

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{vincon_vldb20,
        title = {{nKV in Action: Accelerating KV-Stores on Native Computational Storage with Near-Data Processing}},
        author = {Vinçon, Tobias and Weber, Lukas and Bernhardt, Arthur and Riegger, Christian and Hardock, Sergey and Knoedler, Christian and Stock, Florian and Solis-Vasquez, Leonardo and Tamimi, Sajjad and Koch, Andreas and Petrov, Ilia},
        journal = {PVLDB},
        series = {{VLDB} '20},
        volume = {13},
        number = {12},
        pages = {2981--2984},
        doi = {10.14778/3415478.3415524},
        url = {https://doi.org/10.14778/3415478.3415524},
        year = {2020}
}

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