普适计算环境下基于Agent的上下文质量管理技术研究

Research of Agent based context quality management in pervasive environment

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。很多的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,提出一种基于Agent的上下文质量管理框架,通过上下文的质量阈值管理Agent、质量因子配置Agent、重复上下文与不一致上下文丢弃管理Agent实现不同层次的控制机制,从而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 information technology, it is inevitable that the distributed mobile computing has been gradually evolving to the pervasive computing, whose final goal is fusing the information space composed of computers with the physical space where the people are working and living. To achieve this objective, one of the problems is how to continuously monitor/capture and interpret the environment related information efficiently so as 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, proposes an agent based context-aware framework that support QoC management in various layers. By this framework, we can use threshold Agent, quality factor configuration Agent, duplicate and inconsistent management Agent to implement control mechanisms for various layers, thus providing context-aware services and application users with efficient and reliable context information.