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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
10230
Venue
VLDB
Year
2011
Pagerank
7.7580926e-05
Overall Rank
2,996 | 79.18%
DOI
-

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