Efficient DDS monitoring system for large amount of data

This paper proposes a system for efficient monitoring and error detection in a Data Distribution Service (DDS) environment in which a large number of messages are transmitted and received. For monitoring and error detection, messages are stored in the database, and message processing is handled in parallel in order to maintain the real-time characteristics of the DDS. To avoid compromising the real-time characteristics of DDS, the monitoring functions are grouped into three priorities according to their importance, and separate queues are operated according to priority to allocate tasks to parallel processors. The system will provide an environment that can perform in-depth analysis and monitoring while maintaining the real-time characteristics of DDS.