基于时态数据库的分布仿真数据收集方法

提出一种基于时态数据库的分布仿真数据收集方法：先给出分布仿真数据收集体系结构；参考历史关系数据库模型，对传统关系数据库进行扩展，提出适用于分布仿真数据收集的时态数据库模型；然后基于该模型详细设计并实现仿真时态数据库原型系境用于数据收集，包括数据的索引机制、存储实现以及查询优化。通过大量实验与基于纯文件的数据收集和基于一般商用关系数据库的数据收集进行性能比较，论证该方法在分布仿真数据收集方面的优势。该方法收集速度快、查询效率高，特别适用于面向回放和实时查询的分布仿真数据收集系境。

Method for Distributed Simulation Data Collection Based on Temporal Database

Current simulation data collection systems were hardly optimized with temporal information. A method based on temporal database was proposed.The architecture for distributed simulation data collection was designed first. Making reference to Historical Relational Database Model and extending traditional relational database, a temporal database model was proposed to distributed simulation data collection system. Then the archetype for this model was designed and implemented including data index mechanism, storage implementation and query optimization. Compared with the data collection using pure file or using general commercial relational database by contrast experiments, the advantages of this method were demonstrated. Thinking of its fast collecting and high-quality query, it is especially applicable for data collection system oriented to simulation replaying and real-time query.