Research on distributed data collection system for HLA-based simulation

To eliminate the constraint of existing data collection techniques on the performance improvement of distributed simulation system based on High Level Architecture (HLA), the requirements for HLA distributed data collection were analyzed, and HIT-DCS, an HLA distributed data collection system based on intelligent task scheduling, was proposed and developed. The system applied the TOPSIS method based on dynamic load balancing, which realized the coordination and decision-making of the system by using entropy method to work out the objective weights for each attribute. HIT-DCS can support distributed data collection, the correlation of multiple log files on line, data query and on-line analysis, etc.