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Intelligent Automated Workload Analysis for Database Replatforming

Summary: qInsight automates deep workload analysis for database replatforming, extracting features and structural signals from queries via Hyper-Q beyond standard profilers. It scores rewrite difficulty with expert judgment, guiding migration order, as shown on 1.7B real-world queries. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6488
Venue
SIGMOD
Year
2022
Pagerank
5.2925877e-05
Overall Rank
9,283 | 36.32%
DOI
10.1145/3514221.3526050

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{aleyasen_sigmod22,
        title = {{Intelligent Automated Workload Analysis for Database Replatforming}},
        author = {Aleyasen, Amirhossein and Morcos, Mark and Antova, Lyublena and Sugiyama, Marc and Korablev, Dmitri and Patvarczki, Jozsef and Mutreja, Rima and Duller, Michael and Waas, Florian M. and Winslett, Marianne},
        series = {{SIGMOD} '22},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3514221.3526050},
        url = {https://dl.acm.org/doi/10.1145/3514221.3526050},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
7,686 TDSQL: Tencent Distributed Database System 2024 VLDB 5.5676271e-05
8,846 Workload Insights From The Snowflake Data Cloud: What Do Production Analytic Queries Really Look Like? 2025 VLDB 5.3580184e-05
11,290 Presto’s History-based Query Optimizer 2024 VLDB 5.093636e-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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