This standard defines a methodology for performance testing of Artificial Intelligence (AI) for Database Management Systems (DMS) for Structured Query Language (SQL)-based Databases and provides a reference framework for relevant organizations and institutions. The performance metrics encompass not only traditional database metrics like response times, resource utilization (CPU, memory, storage), and system robustness but also AI-specific metrics, such as convergence speed and model training time.
- Standard Committee
- C/AISC - Artificial Intelligence Standards Committee
- Status
- Active PAR
- PAR Approval
- 2024-11-12
Working Group Details
- Society
- IEEE Computer Society
- Standard Committee
- C/AISC - Artificial Intelligence Standards Committee
- Working Group
-
AIDB - Performance Benchmarking of Artificial Intelligence for Database Management Systems for Structured Query Language-based Databases
- IEEE Program Manager
- Christy Bahn
Contact Christy Bahn - Working Group Chair
- Gang Chen
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