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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
hfde58a5cb08590f8
Venue
VLDB
Year
2011
Pagerank
9.5791737e-05
Overall Rank
1,815 | 87.80%
DOI
10.14778/1985796.1985798

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{dash_vldb11,
        title = {{CoPhy: A Scalable, Portable, and Interactive Index Advisor for Large Workloads}},
        author = {Dash, Debabrata and Polyzotis, Neoklis and Ailamaki, Anastasia},
        journal = {PVLDB},
        series = {{VLDB} '11},
        volume = {4},
        number = {6},
        pages = {362--373},
        doi = {10.14778/1985796.1985798},
        url = {https://doi.org/10.14778/1985796.1985798},
        year = {2011}
}

Incoming Citations (Sorted by Pagerank)

Showing 28 of 28 citing papers.

Rank Citing Paper Year Venue Pagerank
1,069 NoDB: Efficient Query Execution on Raw Data Files 2012 SIGMOD 0.00012185253
1,279 AI Meets AI: Leveraging Query Executions to Improve Index Recommendations 2019 SIGMOD 0.00011226878
1,397 Magic mirror in my hand, which is the best in the land? An Experimental Evaluation of Index Selection Algorithms 2020 VLDB 0.00010789242
3,949 Deploying a Steered Query Optimizer in Production at Microsoft 2022 SIGMOD 6.9052796e-05
4,711 Learned Index Benefits: Machine Learning Based Index Performance Estimation 2022 VLDB 6.4573842e-05
4,968 Budget-aware Index Tuning with Reinforcement Learning 2022 SIGMOD 6.3348803e-05
5,091 Towards Scalable Hybrid Stores: Constraint-Based Rewriting to the Rescue 2019 SIGMOD 6.2797352e-05
5,248 Endure: A Robust Tuning Paradigm for LSM Trees Under Workload Uncertainty 2022 VLDB 6.211056e-05
5,274 Only Aggressive Elephants are Fast Elephants 2012 VLDB 6.2005706e-05
5,674 HMAB: Self-Driving Hierarchy of Bandits for Integrated Physical Database Design Tuning 2023 VLDB 6.0430252e-05
5,871 PilotScope: Steering Databases with Machine Learning Drivers 2024 VLDB 5.9639223e-05
6,105 Breaking It Down: An In-depth Study of Index Advisors 2024 VLDB 5.8860941e-05
7,217 Refactoring Index Tuning Process with Benefit Estimation 2024 VLDB 5.5834823e-05
7,403 Index Advisors on Quantum Platforms 2024 VLDB 5.5357529e-05
7,528 Invisible Glue: Scalable Self-Tuning Multi-Stores 2015 CIDR 5.5011847e-05
8,532 AirIndex: Versatile Index Tuning Through Data and Storage 2023 SIGMOD 5.3217474e-05
8,563 Robust and Budget-Constrained Encoding Configurations for In-Memory Database Systems 2022 VLDB 5.3138647e-05
8,865 Divergent Physical Design Tuning for Replicated Databases 2012 SIGMOD 5.2618746e-05
9,180 Twisted Twin: A Collaborative and Competitive Memory Management Approach in HTAP Systems 2025 VLDB 5.2120789e-05
9,790 Wii: Dynamic Budget Reallocation In Index Tuning 2024 SIGMOD 5.1260323e-05
10,156 Generating Application-Specific Data Layouts for In-memory Databases 2019 VLDB 5.0707546e-05
10,604 Understanding and Detecting Query Performance Regression in Practical Index Tuning: [Experiments & Analysis] 2026 SIGMOD 4.9793485e-05
10,912 Tuning the Lookahead Distance for PostgreSQL Asynchronous IO 2026 VLDB 4.9793485e-05
10,918 Evaluating the Practical Effectiveness of LLM-Driven Index Tuning on Microsoft SQL Server 2026 VLDB 4.9793485e-05
11,224 Esc: An Early-Stopping Checker for Budget-aware Index Tuning 2025 VLDB 4.9793485e-05
11,625 Looking Deeply into the Magic Mirror: An Interactive Analysis of Database Index Selection Approaches 2024 VLDB 4.9793485e-05
11,921 Budget-Conscious Fine-Grained Configuration Optimization for Spatio-Temporal Applications 2022 VLDB 4.9793485e-05
12,042 View-Driven Optimization of Database-Backed Web Applications 2020 CIDR 4.9793485e-05
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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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