Sibyl: Forecasting Time-Evolving Query Workloads
Summary: Sibyl forecasts time-evolving query workloads, with full statements, across multiple future windows. Template-based featurization plus a stacked-LSTM encoder-decoder handles drift and large windows, delivering 87.3% median F1 and 1.7x/1.3x gains for MV/index selection. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Hanxian Huang
- 2. Tarique Siddiqui
- 3. Rana Alotaibi
- 4. Carlo Curino
- 5. Jyoti Leeka
- 6. Alekh Jindal
- 7. Jishen Zhao
- 8. Jesús Camacho-Rodríguez
- 9. Yuanyuan Tian
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,981 | Survivorship Bias in Industrial Database Workloads | 2026 | CIDR | 4.1945683e-05 |
| 10,217 | This is Going to Sound Crazy, But What If We Used Large Language Models to Boost Automatic Database Tuning Algorithms By Leveraging Prior History? We Will Find Better Configurations More Quickly Than Retraining From Scratch! | 2026 | SIGMOD | 4.1945683e-05 |
| 10,726 | Improving DBMS Scheduling Decisions with Accurate Performance Prediction on Concurrent Queries | 2025 | VLDB | 4.1945683e-05 |
| 11,084 | Presto’s History-based Query Optimizer | 2024 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 16 of 16 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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| 5,473 | Facilitating SQL Query Composition and Analysis | 2020 | SIGMOD | 5.4885366e-05 |
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| 4,549 | Database-Agnostic Workload Management | 2019 | CIDR | 6.0926728e-05 |
| 7,828 | Modeling Shifting Workloads for Learned Database Systems | 2024 | SIGMOD | 4.6407986e-05 |
| 6,768 | Database Workload Capacity Planning using Time Series Analysis and Machine Learning | 2020 | SIGMOD | 4.9321997e-05 |
| 5,637 | Database Workload Characterization with Query Plan Encoders | 2022 | VLDB | 5.3979505e-05 |
| 716 | Query-based Workload Forecasting for Self-Driving Database Management Systems | 2018 | SIGMOD | 0.00017723171 |