普适计算环境下基于中间件的上下文质量管理框架研究

Middleware-based Framework for the Quality Management of Context-aware Pervasive Applications

随着信息技术的快速发展,分布式计算技术逐渐向普适计算技术演化,从而达到信息空间和物理空间融合的最终目标,为用户提供普适的智能化服务。为了达到这个目标,一个主要的困难就是如何有效地连续监测、捕获与解释环境相关的上下文信息来确保精确的上下文感知性。很多研究者已先后投身于上下文感知的普适应用的研究工作中,但大多数往往直接针对原始上下文进行处理,没有考虑上下文质量(QoC)的影响。因此,提出了一种基于中间件的上下文质量管理框架,即通过上下文的质量门阈管理、重复与不一致的上下文丢弃等不同层次的控制机制,为上下文感知服务和应用用户提供有效而可靠的上下文服务。

With the rapid development of the information technology,it is inevitable that the distributed mobile computing will evolve to the pervasive computing gradually whose final goal is fusing the information space composed of computers with the physical space in which the people are working and living in.To achieve this goal,one of the problems is how to continuously monitor/capture and interpret the environment related information efficiently to assure high context awareness.Many attentions have been paid to the research of the context-aware pervasive applications.However,most of them just use the raw context directly or take just some aspects of the Quality of Context（QoC） into account.Therefore,we proposed a middleware based context-aware framework that supports QoC management in various layers.By this framework we can refine raw context,discard duplicate and inconsistent context so as to protect and provide QoS-enriched context information of users to context-aware applications and services.