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ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning
Summary: ISUM compresses large, complex workloads to enable scalable index tuning. It introduces a low-overhead performance-gain estimator and a concise cross-query representation that avoids pairwise comparisons, yielding 1.4x median, 2x max improvement versus prior techniques on real workloads.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 6465
- Venue
- SIGMOD
- Year
- 2022
- Pagerank
- 5.0895007e-05
- Overall Rank
- 6,364 | 55.78%
- DOI
-
10.1145/3514221.3526152
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 14 of 14 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 6,753 |
Breaking It Down: An In-depth Study of Index Advisors |
2024 |
VLDB |
4.9345582e-05 |
| 7,332 |
Refactoring Index Tuning Process with Benefit Estimation |
2024 |
VLDB |
4.7553758e-05 |
| 8,003 |
The Holon Approach for Simultaneously Tuning Multiple Components in a Self-Driving Database Management System with Machine Learning via Synthesized Proto-Actions |
2024 |
VLDB |
4.6049527e-05 |
| 8,043 |
DISTILL: Low-Overhead Data-Driven Techniques for Filtering and Costing Indexes for Scalable Index Tuning |
2022 |
VLDB |
4.5954398e-05 |
| 8,054 |
Generating Succinct Descriptions of Database Schemata for Cost-Efficient Prompting of Large Language Models |
2024 |
VLDB |
4.5909042e-05 |
| 9,012 |
Hit the Gym: Accelerating Query Execution to Efficiently Bootstrap Behavior Models for Self-Driving Database Management Systems |
2024 |
VLDB |
4.4059413e-05 |
| 9,469 |
Database Gyms |
2023 |
CIDR |
4.3304872e-05 |
| 9,901 |
Robustness of Updatable Learning-based Index Advisors against Poisoning Attack |
2024 |
SIGMOD |
4.2539423e-05 |
| 9,930 |
Wred: Workload Reduction for Scalable Index Tuning |
2024 |
SIGMOD |
4.2469394e-05 |
| 9,931 |
Wii: Dynamic Budget Reallocation In Index Tuning |
2024 |
SIGMOD |
4.2469394e-05 |
| 9,955 |
SCompression: Enhancing Database Knob Tuning Efficiency Through Slice-Based OLTP Workload Compression |
2025 |
VLDB |
4.2332427e-05 |
| 10,125 |
Understanding and Detecting Query Performance Regression in Practical Index Tuning: [Experiments & Analysis] |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,205 |
RIB: Robust Learning-based Index Benefit Estimation |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,552 |
Esc: An Early-Stopping Checker for Budget-aware Index Tuning |
2025 |
VLDB |
4.1905499e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 14 of 14 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 237 |
An Efficient, Cost-Driven Index Selection Tool for Microsoft SQL Server |
1997 |
VLDB |
0.00031727601 |
| 517 |
AutoAdmin "What-if" Index Analysis Utility |
1998 |
SIGMOD |
0.00021193179 |
| 662 |
Database Tuning Advisor for Microsoft SQL Server 2005 |
2004 |
VLDB |
0.00018478597 |
| 1,018 |
Automatic Physical Database Tuning: A Relaxation-based Approach |
2005 |
SIGMOD |
0.00014626746 |
| 1,443 |
Compressing SQL Workloads |
2002 |
SIGMOD |
0.00011944621 |
| 1,961 |
Plan Selection based on Query Clustering |
2002 |
VLDB |
9.9464221e-05 |
| 2,022 |
Magic mirror in my hand, which is the best in the land? An Experimental Evaluation of Index Selection Algorithms |
2020 |
VLDB |
9.7623022e-05 |
| 2,050 |
Automatically Indexing Millions of Databases in Microsoft Azure SQL Database |
2019 |
SIGMOD |
9.6883066e-05 |
| 2,479 |
Efficient Use of the Query Optimizer for Automated Physical Design |
2007 |
VLDB |
8.6836615e-05 |
| 2,788 |
To Tune or not to Tune? A Lightweight Physical Design Alerter |
2006 |
VLDB |
8.121027e-05 |
| 2,937 |
DSB: A Decision Support Benchmark for Workload-Driven and Traditional Database Systems |
2021 |
VLDB |
7.8552033e-05 |
| 4,280 |
Primitives for Workload Summarization and Implications for SQL |
2003 |
VLDB |
6.28375e-05 |
| 4,469 |
Comprehensive and Efficient Workload Compression |
2021 |
VLDB |
6.1535623e-05 |
| 6,085 |
Answering Top-k Representative Queries on Graph Databases |
2014 |
SIGMOD |
5.2165029e-05 |
Semantically Similar Papers
| Overall Rank |
Paper |
Year |
Venue |
Pagerank |
| 1,098 |
Query Optimization In Compressed Database Systems |
2001 |
SIGMOD |
0.00014070252 |
| 1,485 |
On the Analysis of Indexing Schemes |
1997 |
PODS |
0.00011698762 |
| 4,469 |
Comprehensive and Efficient Workload Compression |
2021 |
VLDB |
6.1535623e-05 |
| 2,479 |
Efficient Use of the Query Optimizer for Automated Physical Design |
2007 |
VLDB |
8.6836615e-05 |
| 8,043 |
DISTILL: Low-Overhead Data-Driven Techniques for Filtering and Costing Indexes for Scalable Index Tuning |
2022 |
VLDB |
4.5954398e-05 |
| 2,863 |
Efficient Index Compression in DB2 LUW |
2009 |
VLDB |
7.9982677e-05 |
| 8,653 |
Adaptive Hybrid Indexes |
2022 |
SIGMOD |
4.4696663e-05 |
| 6,160 |
Compression Aware Physical Database Design |
2011 |
VLDB |
5.1750659e-05 |
| 1,443 |
Compressing SQL Workloads |
2002 |
SIGMOD |
0.00011944621 |
| 9,930 |
Wred: Workload Reduction for Scalable Index Tuning |
2024 |
SIGMOD |
4.2469394e-05 |