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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
- 10265
- Venue
- VLDB
- Year
- 2011
- Pagerank
- 8.7333019e-05
- Overall Rank
- 2,470 | 82.82%
- DOI
-
-
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 26 of 26 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 1,343 |
NoDB: Efficient Query Execution on Raw Data Files |
2012 |
SIGMOD |
0.00012482538 |
| 1,855 |
AI Meets AI: Leveraging Query Executions to Improve Index Recommendations |
2019 |
SIGMOD |
0.00010315245 |
| 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 |
| 4,690 |
Deploying a Steered Query Optimizer in Production at Microsoft |
2022 |
SIGMOD |
5.997226e-05 |
| 5,105 |
Only Aggressive Elephants are Fast Elephants |
2012 |
VLDB |
5.694494e-05 |
| 5,337 |
Learned Index Benefits: Machine Learning Based Index Performance Estimation |
2022 |
VLDB |
5.5635208e-05 |
| 5,402 |
Towards Scalable Hybrid Stores: Constraint-Based Rewriting to the Rescue |
2019 |
SIGMOD |
5.5278023e-05 |
| 5,686 |
Budget-aware Index Tuning with Reinforcement Learning |
2022 |
SIGMOD |
5.3712312e-05 |
| 5,924 |
HMAB: Self-Driving Hierarchy of Bandits for Integrated Physical Database Design Tuning |
2023 |
VLDB |
5.2719183e-05 |
| 6,398 |
Endure: A Robust Tuning Paradigm for LSM Trees Under Workload Uncertainty |
2022 |
VLDB |
5.0819209e-05 |
| 6,750 |
Breaking It Down: An In-depth Study of Index Advisors |
2024 |
VLDB |
4.9392771e-05 |
| 6,885 |
PilotScope: Steering Databases with Machine Learning Drivers |
2024 |
VLDB |
4.895386e-05 |
| 7,336 |
Refactoring Index Tuning Process with Benefit Estimation |
2024 |
VLDB |
4.7599411e-05 |
| 7,557 |
Invisible Glue: Scalable Self-Tuning Multi-Stores |
2015 |
CIDR |
4.7112819e-05 |
| 8,272 |
Divergent Physical Design Tuning for Replicated Databases |
2012 |
SIGMOD |
4.5452316e-05 |
| 8,578 |
Robust and Budget-Constrained Encoding Configurations for In-Memory Database Systems |
2022 |
VLDB |
4.4923477e-05 |
| 9,095 |
AirIndex: Versatile Index Tuning Through Data and Storage |
2023 |
SIGMOD |
4.3975034e-05 |
| 9,819 |
Generating Application-Specific Data Layouts for In-memory Databases |
2019 |
VLDB |
4.2774401e-05 |
| 9,930 |
Wii: Dynamic Budget Reallocation In Index Tuning |
2024 |
SIGMOD |
4.2510122e-05 |
| 10,125 |
Understanding and Detecting Query Performance Regression in Practical Index Tuning: [Experiments & Analysis] |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,543 |
Esc: An Early-Stopping Checker for Budget-aware Index Tuning |
2025 |
VLDB |
4.1945683e-05 |
| 10,668 |
Twisted Twin: A Collaborative and Competitive Memory Management Approach in HTAP Systems |
2025 |
VLDB |
4.1945683e-05 |
| 11,071 |
Index Advisors on Quantum Platforms |
2024 |
VLDB |
4.1945683e-05 |
| 11,100 |
Looking Deeply into the Magic Mirror: An Interactive Analysis of Database Index Selection Approaches |
2024 |
VLDB |
4.1945683e-05 |
| 11,415 |
Budget-Conscious Fine-Grained Configuration Optimization for Spatio-Temporal Applications |
2022 |
VLDB |
4.1945683e-05 |
| 11,542 |
View-Driven Optimization of Database-Backed Web Applications |
2020 |
CIDR |
4.1945683e-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.
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Breaking It Down: An In-depth Study of Index Advisors |
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VLDB |
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Budget-aware Index Tuning with Reinforcement Learning |
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Looking Deeply into the Magic Mirror: An Interactive Analysis of Database Index Selection Approaches |
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| 8,655 |
Adaptive Hybrid Indexes |
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4.4739554e-05 |