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VIDEX: A Disaggregated and Extensible Virtual Index for the Cloud and AI Era

Summary: VIDEX disaggregates database instances, virtual-index optimization, and algorithm services, enabling production-faithful what-if plans without optimizing on live databases. Its standardized interfaces support pluggable AI models and hot algorithm evolution, deployed at ByteDance at scale. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
14310
Venue
VLDB
Year
2025
Pagerank
5.158939e-05
Overall Rank
10,079 | 30.85%
DOI
10.14778/3750601.3750639

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{kang_vldb25,
        title = {{VIDEX: A Disaggregated and Extensible Virtual Index for the Cloud and AI Era}},
        author = {Kang, Rong and Wang, Shuai and Zhang, Tieying and Xu, Xianghong and Xu, Linhui and Liang, Zhimin and Zhang, Lei and Shi, Rui and Chen, Jianjun},
        journal = {PVLDB},
        series = {{VLDB} '25},
        volume = {18},
        number = {12},
        pages = {5231--5234},
        doi = {10.14778/3750601.3750639},
        url = {https://doi.org/10.14778/3750601.3750639},
        year = {2025}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
10,518 Breaking the Isolation-Freshness Trade-off: Joint Adaptive Storage Optimization for HTAP Systems 2026 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

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

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