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Localization of Distributed Data in a CORBA-based environment

机译:在基于CORBA的环境中分布式数据的本地化

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Query processing over distributed and fragmented databases is more challenging than doing so in a centralized environment. In a distributed environment, the DBMS needs to know where each node is located. The main role of data localization layer is to localize the query's data using data distribution information. We propose an approach to incorporate the artificial intelligence techniques into a distributed database management system (DBMS), namely to extend the core of a distributed CORBA-based environment with deductive functionalities of the query and view services during the process of data localization. The basic principles and the architecture of the software tool are considered. The implementation and class hierarchy of the object-oriented theorem prover which is built in the core of distributed CORBA-based system are also discussed.
机译:与在集中式环境中进行查询相比,对分布式数据库和零散数据库进行查询处理更具挑战性。在分布式环境中,DBMS需要知道每个节点的位置。数据本地化层的主要作用是使用数据分发信息来本地化查询的数据。我们提出了一种将人工智能技术整合到分布式数据库管理系统(DBMS)中的方法,即在数据本地化过程中使用查询和视图服务的演绎功能扩展基于CORBA的分布式环境的核心。考虑了软件工具的基本原理和体系结构。还讨论了在基于分布式CORBA的系统核心中构建的面向对象定理证明者的实现和类层次结构。

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