摘要： 为了对普适环境下的构件化应用提供支持，扩展传统的构件适配技术，在上下文感知中间件的基础上，提出支持上下文感知的构件适配模型CACAM和构件适配算法CACA，实现对环境、用户上下文的动态感知和重配置。实验结果表明，该模型能够有效地实现普适计算环境下基于上下文感知的构件适配。

关键词: 普适计算, 上下文感知, 构件适配, 中间件, 反射

Abstract: In order to support component based applications of pervasive environments, traditional component adaptation is extended and a Context-aware Component Adaptation Model(CACAM) is put forward based on component middleware and Context-aware Component Adaptation(CACA) algorithm according to support dynamic awareness and reconfiguration for the context based adaptation. Experimental results show that this model can support the context-aware component adaptation efficiently in the pervasive computing environment.

Key words: pervasive computing, context-aware, component adaptation, middleware, reflection

中图分类号: 

• TP311.5