SH2O: Efficient Data Access for Work-Sharing Databases
Summary: SH2O replaces shared filters with multidimensional range access patterns to reduce bottlenecks in highly concurrent work-sharing databases. Three-tier design: spatial indices, a range-optimizer, and partitioned, independent access with tuning—yields 1.8–22.2× speedups on hundreds of queries. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Panagiotis Sioulas (Oracle)
- 2. Ioannis Mytilinis (Oracle)
- 3. Anastasia Ailamaki (EPFL)
BibTeX Citation
@inproceedings{sioulas_sigmod23,
title = {{SH2O: Efficient Data Access for Work-Sharing Databases}},
author = {Sioulas, Panagiotis and Mytilinis, Ioannis and Ailamaki, Anastasia},
series = {{SIGMOD} '23},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3617340},
url = {https://dl.acm.org/doi/10.1145/3617340},
year = {2023}
}
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