SASH: A Self-Adaptive Histogram Set for Dynamically Changing Workloads
Summary: SASH introduces a Self-Adaptive Set of Histograms for dynamically changing workloads. It tunes online from query feedback only and periodically restructures to a more accurate set, selected from a batch, optimizing attribute sets and memory distribution for multidimensional queries. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Lipyeow Lim
- 2. Min Wang
- 3. Jeffrey Scott Vitter
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,619 | Fast Algorithms For Hierarchical Range Histogram Construction | 2002 | PODS | 6.9084829e-05 |
| 269 | Fast Incremental Maintenance of Approximate Histograms | 1997 | VLDB | 0.00029656549 |
| 7,728 | Consistent Histograms In The Presence of Distinct Value Counts | 2009 | VLDB | 4.666214e-05 |
| 116 | Equi-Depth Histograms For Estimating Selectivity Factors For Multi-Dimensional Queries | 1988 | SIGMOD | 0.00046148737 |
| 222 | Wavelet-Based Histograms for Selectivity Estimation | 1998 | SIGMOD | 0.00032828302 |
| 512 | STHoles: A Multidimensional Workload-Aware Histogram | 2001 | SIGMOD | 0.00021380733 |
| 64 | Improved Histograms for Selectivity Estimation of Range Predicates | 1996 | SIGMOD | 0.00063612837 |
| 852 | Dynamic Multidimensional Histograms | 2002 | SIGMOD | 0.00015941524 |
| 327 | Balancing Histogram Optimality and Practicality for Query Result Size Estimation | 1995 | SIGMOD | 0.00027308479 |
| 529 | Self-tuning Histograms: Building Histograms Without Looking at Data | 1999 | SIGMOD | 0.00020828852 |