分布式异构数据的无缝整合研究

A Study of Seamless Consolidation Technique on Distributed and Hybrid Data

在网络环境下,数据的异构和分布是不可避免的。本文提出以中间件加数据集成缓存器集的方法来集成分布式数据,重点研讨在此基础上两种情形的异构数据无缝整合的三种方法,为解决"信息孤岛"问题和实现分布式异构数据的全方位共享提供理论和技术支撑。

It is not easy to apply an ideal centralized data model to all applications due to the complexity of the hybrid and distributed data all over of the network. The midclleware plus data buffer approaches were proposed in this paper focusing on the seamless integration of the distributed dada. It was an effective method so far to solve the “isolated information” problem and to realize a practical basis to implement information sharing of the distributed and hybrid data.