Database Paper Browser

Back to papers

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)

Paper ID
11306
Venue
VLDB
Year
2016
Pagerank
4.6593145e-05
Overall Rank
7,759 | 46.03%
DOI
-

Incoming Non-self Citations Over Time

Authors

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 -
Previous Page 1 / 1 Next

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.

Previous Page 1 / 1 Next

Semantically Similar Papers