2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.DB2022★ 2 cited
LlamaTune: Sample-Efficient DBMS Configuration Tuning
Konstantinos Kanellis, Cong Ding, Brian Kroth +3
Tuning a database system to achieve optimal performance on a given workload is a long-standing problem in the database community. A number of recent works have leveraged ML-based a…
cs.DB2021
CIAO: An Optimization Framework for Client-Assisted Data Loading
Cong Ding, Dixin Tang, Xi Liang +2
Data loading has been one of the most common performance bottlenecks for many big data applications, especially when they are running on inefficient human-readable formats, such as…