Handling Data Skew in Multiprocessor Database Computers Using Partition Tuning
Summary: Partition-tuning skew handling for shared-nothing SMPs; three parallel hash-join algorithms via two skew-avoidance and one skew-resolution method. Model and experiments show gains; robust skew-avoidance and adaptive skew-resolution beat conventional joins. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Kien A. Hua
- 2. Chiang Lee
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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 |
|---|---|---|---|---|
| 9 | Implementation Techniques For Main Memory Database Systems | 1984 | SIGMOD | 0.0014279444 |
| 232 | A Performance Evaluation of Four Parallel Join Algorithms in a Shared-Nothing Multiprocessor Environment | 1989 | SIGMOD | 0.00032122485 |
| 1,232 | Bucket Spreading Parallel Hash: A New, Robust, Parallel Hash Join Method for Data Skew in the Super Database Computer (SDC) | 1990 | VLDB | 0.00013147188 |
| 3,513 | An Adaptive Data Placement Scheme For Parallel Database Computer Systems | 1990 | VLDB | 7.0228254e-05 |
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