Almaden Research Center QoS-based Data Access and Placement for Federated Systems Wen-Syan Li, Vishal S. Batra, Vijayshankar Raman, Wei Han, Inderpal Narang

Grid Computing 2 Goal: QOS guarantees for database workloads  E.g., run this query within 30 mins (user’s lunch break) –Automatically configure dbms, provision resources, etc to meet this  Very hard problem; demo presents 1 st baby step  Techniques to meet QoS –Choose among alternate data sources  At runtime, based on calibrated loads –Create new replicas  Based on what-if analysis –No extra credit for overperforming  Demo –QoS aware query routing –QoS aware data placement –Availability aware query routing

Grid Computing 3 II Architecture with On Demand Data Placement Data Placement Advisor Queries Information Integrator Wrapper Meta-Wrapper Wrapper Explain Table: Execution plan Processing cost Metadata Repository Source 1 Source 2 Source 3 Data Replication Query Patroller Query Cost Calibrator Source 1 Virtual tables Source 2 Source 3 Log: Query statements Response time Query fragment & response time Simulated Information Integrator Simulated Meta-Wrapper Simulated Wrappers Simulated catalogs Simulated Information Grid