Demo of LearnedWMP: Workload Memory Prediction Using Deep Query Template Representations
Summary: Demo of LearnedWMP for simultaneous workload-wide working-memory prediction using deep query template representations. Shows improved accuracy and faster training/inference over standard per-query estimators, enabling better memory budgeting for in-memory query execution. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Shaikh Quader
- 2. Ghadeer Abuoda
- 3. Yonis Abokar
- 4. Marin Litoiu
- 5. Manos Papagelis
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 71 | How Good Are Query Optimizers, Really? | 2016 | VLDB | 0.00059446482 |
| 659 | The Making of TPC-DS | 2006 | VLDB | 0.00018514913 |
| 810 | A Modeling Study of the TPC-C Benchmark | 1993 | SIGMOD | 0.00016389243 |
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