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Skew-Aware Automatic Database Partitioning in Shared-Nothing, Parallel OLTP Systems
Summary: Skew-aware automatic partitioning for shared-nothing OLTP; addresses data and access skew, stored-procedure routing, and replicated secondary indexes. Analytical cost model plus large-neighborhood search minimize distributed transactions and scale with schema and data, yielding up to 16x throughput.
(summarized by gpt-5-nano on Feb 09 2026)
Paper ID
4574
Venue
SIGMOD
Year
2012
Pagerank
0.0001793564
Overall Rank
471 | 96.78%
DOI
10.1145/2213836.2213844
Incoming Non-self Citations Over Time
BibTeX Citation
@inproceedings{pavlo_sigmod12,
title = {{Skew-Aware Automatic Database Partitioning in Shared-Nothing, Parallel OLTP Systems}},
author = {Pavlo, Andrew and Curino, Carlo and Zdonik, Stan},
series = {{SIGMOD} '12},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2213836.2213844},
url = {https://dl.acm.org/doi/10.1145/2213836.2213844},
year = {2012}
}
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