摘要
传统的查询树及基于多重加权树的查询优化方法,研究得比较成熟,语义查询优化方法将一个查询变换成一个或数个语义等价的查询,基于Agent的并行数据库查询优化采用Multi-Agent技术自动查找与给定查询有关的完整性约束条件,使得多个关系间连接操作的效率得到很大地提高。并行数据库的查询优化领域的3个重要方向为基于机群系统的并行数据库查询优化研究,将MAS技术及专家系统引入本领域,将模拟退火算法及神经网络算法引入本领域。
The traditional query tree and optimization method based on multiple weighted tree is studied more ripe. The semantic query method will transform an inquiry into one or several semantic equivalence inquiries. Agent-based parallel database query optimization using multi-agent technology to automatically search the integrity constraint conditions which is related to the determined query, there for, the efficiency between several relations＇ joins is greatly improved. The three important directions on parallel database＇ s query optimization field include the study of parallel database＇ s query optimization based on the cluster system, the second, introducing MAS technology and expert systems into this field, and finally, introducing the simulated annealing algorithm and neural network algorithm into this field.
出处
《计算机工程与设计》
CSCD
北大核心
2009年第16期3814-3819,共6页
Computer Engineering and Design
