Research on HLA-based distributed data collection techniques

Issues relating to complete collection of large-scale HLA-based simulation data were discussed. Firstly the characteristics of HLA-based distributed data collection were analyzed, and the framework of a distributed data collection system was designed, including the system structure and the process model. Then the data collection task scheduling methods were presented based on the idea of dynamic and static combination, including the pre-operation static task assignment method and the runtime dynamic scheduling process with its key algorithms. Finally, experiments were performed and the distributed data collection methods were validated.