Progressive Optimization in a Shared-Nothing Parallel Database
Summary: Progressive optimization extends to shared-nothing parallel DBs; cardinality monitoring triggers re-optimization. Key contributions: voting-based triggers, MV reuse, and parallel checkpointing with fast inter-node communication; up to 22x OLAP speedups. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Wook-Shin Han (IBM; Kyungpook National University)
- 2. Jack Ng (IBM)
- 3. Volker Markl (IBM)
- 4. Holger Kache (IBM)
- 5. Mokhtar Kandil (IBM)
BibTeX Citation
@inproceedings{han_sigmod07,
title = {{Progressive Optimization in a Shared-Nothing Parallel Database}},
author = {Han, Wook-Shin and Ng, Jack and Markl, Volker and Kache, Holger and Kandil, Mokhtar},
series = {{SIGMOD} '07},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1247480.1247569},
url = {https://dl.acm.org/doi/10.1145/1247480.1247569},
year = {2007}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,726 | Parallelizing Query Optimization | 2008 | VLDB | 7.1697834e-05 |
| 4,481 | Dynamically Optimizing Queries over Large Scale Data Platforms | 2014 | SIGMOD | 6.6754521e-05 |
| 5,529 | Debunking the Myth of Join Ordering: Toward Robust SQL Analytics | 2025 | SIGMOD | 6.18591e-05 |
| 7,366 | Non-Invasive Progressive Optimization for In-Memory Databases | 2016 | VLDB | 5.6322753e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 13 of 13 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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