Dscaler: Synthetically Scaling A Given Relational Database
Summary: Dscaler enables nuDSP with per-table scale factors and a correlation database for fine-grained per-tuple PK/FK correlations. Experiments on real and synthetic data show higher similarity to D across tuple counts, FK distributions, and joins. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. J.W. Zhang
- 2. Y.C. Tay
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,895 | HYDRA: A Dynamic Big Data Regenerator | 2018 | VLDB | 4.623701e-05 |
| 9,467 | Database Gyms | 2023 | CIDR | 4.3346412e-05 |
| 13,323 | A Collaborative Framework for Tweaking Properties in A Synthetic Dataset | 2018 | VLDB | - |
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Outgoing Citations (Sorted by Pagerank)
Showing 15 of 15 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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