Schism: a Workload-Driven Approach to Database Replication and Partitioning
Summary: Schism is a workload-aware, graph-based partitioning/replication framework for shared-nothing DBs, reducing cross-partition transactions while balancing load. A two-phase approach: graph-driven partitioning (node-per-tuple, edges from same txn) and ML-based explanation; strong on n-to-n and social-network schemas, with up to 30% fewer distributed transactions. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Carlo Curino (Massachusetts Institute of Technology)
- 2. Evan Jones (Massachusetts Institute of Technology)
- 3. Yang Zhang (Massachusetts Institute of Technology)
- 4. Sam Madden (Massachusetts Institute of Technology)
BibTeX Citation
@article{curino_vldb10,
title = {{Schism: a Workload-Driven Approach to Database Replication and Partitioning}},
author = {Curino, Carlo and Jones, Evan and Zhang, Yang and Madden, Sam},
journal = {PVLDB},
series = {{VLDB} '10},
volume = {3},
number = {1},
pages = {48--59},
doi = {10.14778/1920841.1920853},
url = {https://doi.org/10.14778/1920841.1920853},
year = {2010}
}Incoming Citations (Sorted by Pagerank)
Showing 50 of 108 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 47 | PNUTS: Yahoo!'s Hosted Data Serving Platform | 2008 | VLDB | 0.00044503718 |
| 68 | The End of an Architectural Era (It’s Time for a Complete Rewrite) | 2007 | VLDB | 0.00038446206 |
| 199 | Integrating Vertical and Horizontal Partitioning into Automated Physical Database Design | 2004 | SIGMOD | 0.00025612088 |
| 246 | Automating Physical Database Design in a Parallel Database | 2002 | SIGMOD | 0.00023457421 |
| 1,271 | Hybrid-Range Partitioning Strategy: A New Declustering Strategy for Multiprocessor Database Machines | 1990 | VLDB | 0.0001138443 |
| 1,709 | A Stochastic Approach for Clustering in Object Bases | 1991 | SIGMOD | 9.9585965e-05 |
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