Invited Talk at the 2nd International Conference on Computer Vision, Communications and Multimedia (ICCVCM 2021)

In 2021, delivered an invited talk entitled “Database Load Analysis Method for Query-Intensive Management Information Systems” at the 2nd International Conference on Computer Vision, Communications and Multimedia (ICCVCM 2021). The talk proposed a database load measurement method for query-intensive management information systems, defining database load as the normalized ratio of the system’s current resource consumption state relative to its baseline performance boundary, expressed as a percentage.

Abstract

Database load state exerts a critical influence on the performance of management information systems. In such systems, the contributing factors to database load are numerous and query operations account for a high proportion of database operations; thus, providing a database load analysis method tailored to the characteristics of management information systems is essential.

This talk presents a database load analysis and computation method for query-intensive management information systems. The method combines theoretical computation data with benchmark test data: a set of benchmark tests captures relevant performance data of the system’s operating environment, which is then combined with the current state of the system database to yield database load state information, expressed as a percentage. The method accounts for the impact of factors such as data volume, peak database access periods, and concurrent access on the computation results, thereby ensuring the accuracy of the load analysis. By virtue of its combined theoretical and benchmark-based analytical design, the method avoids extensive repeated testing, conserves computational performance and energy resources, and reduces both the time cost and economic cost of database load analysis.