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Data Generation for Application-Specific Benchmarking

Summary: Bottom-up, community-driven benchmarking for data-centric workloads as an alternative to TPC. Advocates synthetic data scaling of empirical datasets and develops attribute-value correlation theory to enable application-specific benchmarks. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10420
Venue
VLDB
Year
2011
Pagerank
7.4411075e-05
Overall Rank
3,404 | 76.65%
DOI
10.14778/3402755.3402798

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{tay_vldb11,
        title = {{Data Generation for Application-Specific Benchmarking}},
        author = {Tay, Y.C.},
        journal = {PVLDB},
        series = {{VLDB} '11},
        volume = {4},
        number = {12},
        pages = {1470--1473},
        doi = {10.14778/3402755.3402798},
        url = {https://doi.org/10.14778/3402755.3402798},
        year = {2011}
}

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