Distributing A Database For Parallelism
Summary: Conceptual framework for distributing a database across sites to maximize non-duplicative parallelism via local sufficiency. Identifies query classes with irredundant locally sufficient partitions; where absent, introduces redundancy to achieve local sufficiency. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. E. Wong (University of California Berkeley)
- 2. R. H. Katz (University of California Berkeley; University of Wisconsin)
BibTeX Citation
@inproceedings{wong_sigmod83,
title = {{DISTRIBUTING A DATABASE FOR PARALLELISM}},
author = {Wong, E. and Katz, R. H.},
series = {{SIGMOD} '83},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/582192.582201},
url = {https://dl.acm.org/doi/10.1145/582192.582201},
year = {1983}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 192 | Grammar-like Functional Rules for Representing Query Optimization Alternatives | 1988 | SIGMOD | 0.00026028406 |
| 7,464 | Partitioning A Relational Database Horizontally Using A Knowledge-Based Approach | 1985 | SIGMOD | 5.6109154e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 0 of 0 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|
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