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Parallel I/O Aware Query Optimization

Summary: Exploits SSD I/O parallelism to speed up query processing, focusing on scan operators. Proposes a calibration-based I/O cost model using queue depth and device heterogeneity; implemented in SAP SQL Anywhere to yield near-optimal, device-agnostic plans. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4914
Venue
SIGMOD
Year
2014
Pagerank
5.3691168e-05
Overall Rank
8,800 | 39.63%
DOI
10.1145/2588555.2595635

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{ghodsnia_sigmod14,
        title = {{Parallel I/O Aware Query Optimization}},
        author = {Ghodsnia, Pedram and Bowman, Ivan T. and Nica, Anisoara},
        series = {{SIGMOD} '14},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2588555.2595635},
        url = {https://dl.acm.org/doi/10.1145/2588555.2595635},
        year = {2014}
}

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