Budget-aware Index Tuning with Reinforcement Learning-Reference-Cited by-同舟云学术

Budget-aware Index Tuning with Reinforcement Learning

Published:2022-06-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2022 International Conference on Management of Data
language:
Short-container-title:

Author:

Wu Wentao¹,Wang Chi¹,Siddiqui Tarique¹,Wang Junxiong²,Narasayya Vivek¹,Chaudhuri Surajit¹,Bernstein Philip A.¹

Affiliation:

1. Microsoft Research, Redmond, WA, USA

2. Cornell University, Ithaca, NY, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3514221.3526128

Reference64 articles.

1. [n.d.]. Amazon Relational Database Service. https://aws.amazon.com/rds/. [n.d.]. Amazon Relational Database Service. https://aws.amazon.com/rds/.

2. [n.d.]. Azure SQL Database. https://azure.microsoft.com/en-us/products/azure-sql/database/. [n.d.]. Azure SQL Database. https://azure.microsoft.com/en-us/products/azure-sql/database/.

3. [n.d.]. DTA utility. https://docs.microsoft.com/en-us/sql/tools/dta/dta-utility?view=sql-server-ver15. [n.d.]. DTA utility. https://docs.microsoft.com/en-us/sql/tools/dta/dta-utility?view=sql-server-ver15.

4. [n.d.]. GitHub Repository of No DBA. https://github.com/shankur/autoindex. [n.d.]. GitHub Repository of No DBA. https://github.com/shankur/autoindex.

5. [n.d.]. Google Cloud SQL. https://cloud.google.com/sql. [n.d.]. Google Cloud SQL. https://cloud.google.com/sql.

Cited by 20 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hit the Gym: Accelerating Query Execution to Efficiently Bootstrap Behavior Models for Self-Driving Database Management Systems;Proceedings of the VLDB Endowment;2024-07

2. The Holon Approach for Simultaneously Tuning Multiple Components in a Self-Driving Database Management System with Machine Learning via Synthesized Proto-Actions;Proceedings of the VLDB Endowment;2024-07

3. Online Index Recommendation for Slow Queries;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

4. MFIX: An Efficient and Reliable Index Advisor via Multi-Fidelity Bayesian Optimization;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

5. TRAP: Tailored Robustness Assessment for Index Advisors via Adversarial Perturbation;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13