存储特定流数据的通用框架

通过仔细研究存储流数据的各种应用的共同特征,提出了一种数据流存储模型.在数据流存储模型基础上,采用先进的基于组件的开发方法,实现了一个存储流数据的通用框架,通用框架采用本体技术来解决语义互操作性.测试结果表明,通用框架可以调用一组用户提供的过滤算法,筛选出指定数据流中符合条件的信息,将它们成批存储到数据库中.用户可以通过定制和配置参数的方法,在各种不同的应用环境中重用该通用框架.

A generic framework for storing specific streaming data

After carefully studying the common characteristic of varied applications on storing streaming data to the database,a stream storage model was proposed.Base on this model,the generic framework for storing specific streaming data was implemented by adopting the component-based development methodology.In the generic framework,ontologies were exploited to realize system interoperability.The results of two experiments show that generic framework can filter out data which conforms to the requirements of specific rules by invoking a group of components provided by the users and the selected data are stored to the database in batches properly.Users can reuse the framework in different application environments by customizing the components and deploying the system parameters.