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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
- 6464
- Venue
- SIGMOD
- Year
- 2022
- Pagerank
- 5.0943443e-05
- Overall Rank
- 6,366 | 55.72%
- 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 |
| 6,750 |
Breaking It Down: An In-depth Study of Index Advisors |
2024 |
VLDB |
4.9392771e-05 |
| 7,336 |
Refactoring Index Tuning Process with Benefit Estimation |
2024 |
VLDB |
4.7599411e-05 |
| 8,020 |
The Holon Approach for Simultaneously Tuning Multiple Components in a Self-Driving Database Management System with Machine Learning via Synthesized Proto-Actions |
2024 |
VLDB |
4.6040862e-05 |
| 8,041 |
DISTILL: Low-Overhead Data-Driven Techniques for Filtering and Costing Indexes for Scalable Index Tuning |
2022 |
VLDB |
4.5998045e-05 |
| 8,052 |
Generating Succinct Descriptions of Database Schemata for Cost-Efficient Prompting of Large Language Models |
2024 |
VLDB |
4.5953106e-05 |
| 9,006 |
Hit the Gym: Accelerating Query Execution to Efficiently Bootstrap Behavior Models for Self-Driving Database Management Systems |
2024 |
VLDB |
4.4101482e-05 |
| 9,467 |
Database Gyms |
2023 |
CIDR |
4.3346412e-05 |
| 9,902 |
Robustness of Updatable Learning-based Index Advisors against Poisoning Attack |
2024 |
SIGMOD |
4.258022e-05 |
| 9,929 |
Wred: Workload Reduction for Scalable Index Tuning |
2024 |
SIGMOD |
4.2510122e-05 |
| 9,930 |
Wii: Dynamic Budget Reallocation In Index Tuning |
2024 |
SIGMOD |
4.2510122e-05 |
| 9,956 |
SCompression: Enhancing Database Knob Tuning Efficiency Through Slice-Based OLTP Workload Compression |
2025 |
VLDB |
4.2373024e-05 |
| 10,125 |
Understanding and Detecting Query Performance Regression in Practical Index Tuning: [Experiments & Analysis] |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,205 |
RIB: Robust Learning-based Index Benefit Estimation |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,543 |
Esc: An Early-Stopping Checker for Budget-aware Index Tuning |
2025 |
VLDB |
4.1945683e-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 |
0.00031726304 |
| 516 |
AutoAdmin "What-if" Index Analysis Utility |
1998 |
SIGMOD |
0.00021196031 |
| 661 |
Database Tuning Advisor for Microsoft SQL Server 2005 |
2004 |
VLDB |
0.00018481174 |
| 1,017 |
Automatic Physical Database Tuning: A Relaxation-based Approach |
2005 |
SIGMOD |
0.00014634307 |
| 1,443 |
Compressing SQL Workloads |
2002 |
SIGMOD |
0.00011947004 |
| 1,962 |
Plan Selection based on Query Clustering |
2002 |
VLDB |
9.950467e-05 |
| 2,020 |
Magic mirror in my hand, which is the best in the land? An Experimental Evaluation of Index Selection Algorithms |
2020 |
VLDB |
9.762624e-05 |
| 2,047 |
Automatically Indexing Millions of Databases in Microsoft Azure SQL Database |
2019 |
SIGMOD |
9.6920209e-05 |
| 2,484 |
Efficient Use of the Query Optimizer for Automated Physical Design |
2007 |
VLDB |
8.6864279e-05 |
| 2,787 |
To Tune or not to Tune? A Lightweight Physical Design Alerter |
2006 |
VLDB |
8.1263608e-05 |
| 2,985 |
DSB: A Decision Support Benchmark for Workload-Driven and Traditional Database Systems |
2021 |
VLDB |
7.7795847e-05 |
| 4,287 |
Primitives for Workload Summarization and Implications for SQL |
2003 |
VLDB |
6.2891702e-05 |
| 4,468 |
Comprehensive and Efficient Workload Compression |
2021 |
VLDB |
6.1584035e-05 |
| 6,080 |
Answering Top-k Representative Queries on Graph Databases |
2014 |
SIGMOD |
5.2214553e-05 |
Semantically Similar Papers
| Overall Rank |
Paper |
Year |
Venue |
Pagerank |
| 1,100 |
Query Optimization In Compressed Database Systems |
2001 |
SIGMOD |
0.00014072277 |
| 1,488 |
On the Analysis of Indexing Schemes |
1997 |
PODS |
0.00011699446 |
| 4,468 |
Comprehensive and Efficient Workload Compression |
2021 |
VLDB |
6.1584035e-05 |
| 2,484 |
Efficient Use of the Query Optimizer for Automated Physical Design |
2007 |
VLDB |
8.6864279e-05 |
| 8,041 |
DISTILL: Low-Overhead Data-Driven Techniques for Filtering and Costing Indexes for Scalable Index Tuning |
2022 |
VLDB |
4.5998045e-05 |
| 2,856 |
Efficient Index Compression in DB2 LUW |
2009 |
VLDB |
8.0056412e-05 |
| 8,655 |
Adaptive Hybrid Indexes |
2022 |
SIGMOD |
4.4739554e-05 |
| 6,157 |
Compression Aware Physical Database Design |
2011 |
VLDB |
5.1801143e-05 |
| 1,443 |
Compressing SQL Workloads |
2002 |
SIGMOD |
0.00011947004 |
| 9,929 |
Wred: Workload Reduction for Scalable Index Tuning |
2024 |
SIGMOD |
4.2510122e-05 |