Back to papers
CoPhy: A Scalable, Portable, and Interactive Index Advisor for Large Workloads
Summary: CoPhy offers scalable, portable, interactive index tuning for large workloads. Reveals a structured solution space and exploits linear optimization for efficient search, delivering up to 10x gains over prior methods.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 10266
- Venue
- VLDB
- Year
- 2011
- Pagerank
- 8.7264908e-05
- Overall Rank
- 2,467 | 82.86%
- DOI
-
-
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 26 of 26 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 1,346 |
NoDB: Efficient Query Execution on Raw Data Files |
2012 |
SIGMOD |
0.00012472598 |
| 1,856 |
AI Meets AI: Leveraging Query Executions to Improve Index Recommendations |
2019 |
SIGMOD |
0.00010319105 |
| 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 |
| 4,687 |
Deploying a Steered Query Optimizer in Production at Microsoft |
2022 |
SIGMOD |
5.9915268e-05 |
| 5,110 |
Only Aggressive Elephants are Fast Elephants |
2012 |
VLDB |
5.6868273e-05 |
| 5,343 |
Learned Index Benefits: Machine Learning Based Index Performance Estimation |
2022 |
VLDB |
5.5582234e-05 |
| 5,409 |
Towards Scalable Hybrid Stores: Constraint-Based Rewriting to the Rescue |
2019 |
SIGMOD |
5.5224926e-05 |
| 5,673 |
Budget-aware Index Tuning with Reinforcement Learning |
2022 |
SIGMOD |
5.3789277e-05 |
| 5,925 |
HMAB: Self-Driving Hierarchy of Bandits for Integrated Physical Database Design Tuning |
2023 |
VLDB |
5.2669029e-05 |
| 6,394 |
Endure: A Robust Tuning Paradigm for LSM Trees Under Workload Uncertainty |
2022 |
VLDB |
5.0770427e-05 |
| 6,753 |
Breaking It Down: An In-depth Study of Index Advisors |
2024 |
VLDB |
4.9345582e-05 |
| 6,883 |
PilotScope: Steering Databases with Machine Learning Drivers |
2024 |
VLDB |
4.8918682e-05 |
| 7,332 |
Refactoring Index Tuning Process with Benefit Estimation |
2024 |
VLDB |
4.7553758e-05 |
| 7,557 |
Invisible Glue: Scalable Self-Tuning Multi-Stores |
2015 |
CIDR |
4.7070194e-05 |
| 8,268 |
Divergent Physical Design Tuning for Replicated Databases |
2012 |
SIGMOD |
4.5408509e-05 |
| 8,575 |
Robust and Budget-Constrained Encoding Configurations for In-Memory Database Systems |
2022 |
VLDB |
4.4880409e-05 |
| 9,093 |
AirIndex: Versatile Index Tuning Through Data and Storage |
2023 |
SIGMOD |
4.3932886e-05 |
| 9,818 |
Generating Application-Specific Data Layouts for In-memory Databases |
2019 |
VLDB |
4.2733415e-05 |
| 9,931 |
Wii: Dynamic Budget Reallocation In Index Tuning |
2024 |
SIGMOD |
4.2469394e-05 |
| 10,125 |
Understanding and Detecting Query Performance Regression in Practical Index Tuning: [Experiments & Analysis] |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,552 |
Esc: An Early-Stopping Checker for Budget-aware Index Tuning |
2025 |
VLDB |
4.1905499e-05 |
| 10,676 |
Twisted Twin: A Collaborative and Competitive Memory Management Approach in HTAP Systems |
2025 |
VLDB |
4.1905499e-05 |
| 11,074 |
Index Advisors on Quantum Platforms |
2024 |
VLDB |
4.1905499e-05 |
| 11,103 |
Looking Deeply into the Magic Mirror: An Interactive Analysis of Database Index Selection Approaches |
2024 |
VLDB |
4.1905499e-05 |
| 11,418 |
Budget-Conscious Fine-Grained Configuration Optimization for Spatio-Temporal Applications |
2022 |
VLDB |
4.1905499e-05 |
| 11,546 |
View-Driven Optimization of Database-Backed Web Applications |
2020 |
CIDR |
4.1905499e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Semantically Similar Papers
| Overall Rank |
Paper |
Year |
Venue |
Pagerank |
| 5,834 |
An Efficient Transfer Learning Based Configuration Adviser for Database Tuning |
2024 |
VLDB |
5.3082111e-05 |
| 6,753 |
Breaking It Down: An In-depth Study of Index Advisors |
2024 |
VLDB |
4.9345582e-05 |
| 5,673 |
Budget-aware Index Tuning with Reinforcement Learning |
2022 |
SIGMOD |
5.3789277e-05 |
| 7,445 |
An Automated, Yet Interactive and Portable DB Designer |
2010 |
SIGMOD |
4.7235588e-05 |
| 11,103 |
Looking Deeply into the Magic Mirror: An Interactive Analysis of Database Index Selection Approaches |
2024 |
VLDB |
4.1905499e-05 |
| 3,276 |
Configuration-Parametric Query Optimization for Physical Design Tuning |
2008 |
SIGMOD |
7.2880761e-05 |
| 8,043 |
DISTILL: Low-Overhead Data-Driven Techniques for Filtering and Costing Indexes for Scalable Index Tuning |
2022 |
VLDB |
4.5954398e-05 |
| 237 |
An Efficient, Cost-Driven Index Selection Tool for Microsoft SQL Server |
1997 |
VLDB |
0.00031727601 |
| 5,378 |
Holistic Indexing in Main-memory Column-stores |
2015 |
SIGMOD |
5.5379945e-05 |
| 8,653 |
Adaptive Hybrid Indexes |
2022 |
SIGMOD |
4.4696663e-05 |