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作 者:缪燕 王和平 MIU Yan;WANG Heping(Beijing Xuji Electric Co.,Ltd.,Beijing 100000,China)
出 处:《电子设计工程》2022年第21期127-130,135,共5页Electronic Design Engineering
摘 要:目前研究的分布式实时数据库贡献率较高,分类耗时过长,导致性能较差。为了解决上述问题,基于访问一体化算法研究了一种新的分布式实时数据库。采用访问一体化算法计算联合分布概率,通过联合分布概率获得分布式实时数据库模型。计算数据存储单元的贡献率,根据分布式实时数据库的优化表达式获得元数据分类的最大值和最小值,对数据库分类目标函数进行简化可得到分布式实时数据库中插值点的数量,确定插值点与数据节点的距离,实现数据库优化。实验结果表明,基于访问一体化算法的分布式实时数据库能够有效降低贡献率,缩短分类耗时,提高分类精度。At present,the contribution rate of distributed real-time database is high,and the classification time is too long,resulting in poor performance. In order to solve the above problems,a new distributed real-time database is studied based on the access integration algorithm. The access integration algorithm is used to calculate the joint distribution probability,and the distributed real-time database model is obtained through the joint distribution probability. Calculate the contribution rate of data storage unit,obtain the maximum and minimum values of metadata classification according to the optimization expression of distributed real-time database,simplify the database classification objective function,obtain the number of interpolation points in distributed real-time database,determine the distance between interpolation points and data nodes,and realize database optimization. The experimental results show that the distributed real-time database based on access integration algorithm can effectively reduce the contribution rate,shorten the classification time and improve the classification accuracy.
关 键 词:访问一体化算法 分布式数据 实时数据库 数据库研究
分 类 号:TN301[电子电信—物理电子学]
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