普适计算中一种上下文集成方法

Context Integration Scheme in Pervasive Computing

普适计算作为一种全新的计算模式,目的是根据用户需要提供随时随地的服务。普适计算环境中存在大量异构的数据源,不利于上下文信息的处理和访问。文中提出了一种基于XML的上下文集成方法,在保证上下文精度和新鲜度的条件下,尽量减少上下文信息存储量,并向上提供统一的上下文表达形式,有效屏蔽了上下文信息的异构。实验测试表明,采用的文件内存保留和分片转存方法,进一步加快上下文的集成,从而有效地支持普适服务。

As a novel computing mode, pervasive computing provides services anytime, anywhere according to users＇ demands. In this environment, many heterogeneous data sources affect the efficiency of context processing and accessing. It presents a XML-based context integration method, which can reduce the amount of context storage, shield the heterogeneity, and provide a unified expression of context information on the premise of ensuring the precision and freshness. Furthermore, test results show that this method can speed up the integration by retaining a copy of document in memory and using file-partition strategy, and enable pervasive computing services more efficiently.