Dynamically Optimizing Queries over Large Scale Data Platforms
Summary: Dynamic optimization of queries on large-scale data platforms, handling opaque UDFs and cross-relational correlations. Pilot runs estimate selectivities to seed a cost-based plan, after which plans evolve during execution to yield up to 2x (Jaql) and 4x (Hive) gains over hand-written left-deep baselines. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Konstantinos Karanasos
- 2. Andrey Balmin
- 3. Marcel Kutsch
- 4. Fatma Özcan
- 5. Vuk Ercegovac
- 6. Chunyang Xia
- 7. Jesse Jackson
Incoming Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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