60 citations · 66 across the 3 of their papers we have counts for
3 papers
cs.DB2023★ 1 cited
A Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning
Xinyi Zhang, Zhuo Chang, Hong Wu +5
Recently using machine learning (ML) based techniques to optimize modern database management systems has attracted intensive interest from both industry and academia. With an objec…
cs.DB2022★ 60 cited
Towards Dynamic and Safe Configuration Tuning for Cloud Databases
Xinyi Zhang, Hong Wu, Yang Li +3
Configuration knobs of database systems are essential to achieve high throughput and low latency. Recently, automatic tuning systems using machine learning methods (ML) have shown…
cs.DB2021★ 5 cited
Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation
Xinyi Zhang, Zhuo Chang, Yang Li +4
Recently, using automatic configuration tuning to improve the performance of modern database management systems (DBMSs) has attracted increasing interest from the database communit…