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机构地区:[1]南京信息职业技术学院,南京210046 [2]天河学院,广州510540
出 处:《西南师范大学学报(自然科学版)》2007年第4期77-81,共5页Journal of Southwest China Normal University(Natural Science Edition)
摘 要:并行数据库技术中的查询处理及优化方法,都各有优劣;作者提出了一种基于Multi-Agent技术的语义查询模型(SQMAS),并以此模型为基础建立了一种基于Agent的并行数据库语义查询方法;同时为了保证系统组内、组间Agent之间的高效通信,采用了树型拓扑结构(TTMAS)的通信模型,系统内各Agent使用通信原语高效通信、协作,且满足Agent间的通信路由最优,从而保证了SQMAS的查询效率.The query processing and optimization methods in parallel database technology all have their merits and shortcomings; then the authors proposed one kind semantic query model based on Multi-Agent technology (SQMAS), and taking this model as the foundation, they have established one kind parallel database semantics query method based on the Agent, and to ensure the high efficiency of communications between the Agents of the system's groups, they have also adopted a communication model by Tree Topology Multi-Agent System(TTMAS), every Agent in this system communicates and collaborates at high efficiency by using communication primitive, thereby ensuring the query efficiency in SQMAS.
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