Memory Efficient Scheduling of Query Pipeline Execution
Summary: Exploit ordering of pipeline executions between pipeline breakers to minimize peak memory usage, formalizing the scheduling problem and search space. Present a formal model and four optimal/heuristic algorithms, with a prototype and Join Order Benchmark results showing notable memory savings and low planning overhead. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Lukas Landgraf
- 2. Florian Wolf
- 3. Alexander Boehm
- 4. Wolfgang Lehner
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,845 | Experimental Evaluation of Optimizing Memory Consumption in SAP HANA Using PEOopt | 2025 | SIGMOD | 4.4374415e-05 |
| 9,957 | How to Optimize SQL Queries? A Comparison Between Split, Holistic, and Hybrid Approaches | 2025 | VLDB | 4.2373024e-05 |
| 11,152 | Pipeline Group Optimization on Disaggregated Systems | 2023 | CIDR | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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