3 papers
cs.DB2026
Query Cost Model Calibration in Confidential Virtual Machines
Qihan Zhang, Mengyuan Li, Ibrahim Sabek
With the growing adoption of Confidential Computing, running databases in confidential virtual machines (CVMs) such as AMD SEV-SNP has become an attractive way to protect sensitive…
cs.DB2025
SEFRQO: A Self-Evolving Fine-Tuned RAG-Based Query Optimizer
Hanwen Liu, Qihan Zhang, Ryan Marcus +1
Query optimization is a crucial problem in database systems that has been studied for decades. Learned query optimizers (LQOs) can improve performance over time by incorporating fe…
cs.DB2025
LIMAO: A Framework for Lifelong Modular Learned Query Optimization
Qihan Zhang, Shaolin Xie, Ibrahim Sabek
Query optimizers are crucial for the performance of database systems. Recently, many learned query optimizers (LQOs) have demonstrated significant performance improvements over tra…