分布式数据库信息传输效率优化仿真

摘要

对分布式数据库信息传输问题的研究,能够有效提高数据库应用效率.对分布式数据库信息传输效率的优化,需要对信息进行整合,规划信息整合的有界约束,完成信息传输效率的优化.传统方法通常采用本体与关联数据驱动方法,感知最佳信息降序,但忽略了对信息整合过程的约束进行规划,导致优化效果不理想.提出基于二次规划的分布式数据库信息传输效率优化方法.得到分布式数据库信息的一维距平化时间序列,将该时间序列嵌入的延迟时间排列成相空间,计算出分布式数据库信息一维距平化时间模型在原序列时间段中所占的权重,将分布式数据库信息整合问题转换为对数据源信息整合的有界约束二次规划问题,实现对分布式数据库信息传输效率的优化.仿真结果表明,改进方法在进行分布式数据库信息整合时,其精度较高,极大地保障了数据源信息的完整性及可靠性.%The research on the information transmission of distributed database can effectively improve the efficiency of database application.Traditional methods usually ignore the planning for constraints of information integration process,which results in unsatisfactory optimization result.This paper focuses on a method for optimizing the efficiency of information transmission in distributed database based on quadratic programming.Firstly,we obtain onedimensional anomaly time sequence of information in distributed database and arrange the delay time embedded by this time series in phase space.Then,we calculate the weight of model of one-dimensional anomaly time series of information of distributed database in the original period,so that the problem of distributed database information integration is converted to the problem of quadratic programming with bound constraint for integrating data source information.Finally,we realize the optimization for information transmission efficiency in distributed database.Simulation results show that the improved method has high accurate in the data integration of distributed database,which greatly ensures the integrity and reliability of data source information.