论文标题
上下文感知计算的数据管理
Data Management for Context-Aware Computing
论文作者
论文摘要
我们设想未来的上下文感知应用程序将使他们的行为从互联网等广域网络中的来源（例如Internet）动态化为各种上下文数据。面对不断变化的上下文和庞大的上下文来源，支持有效的源组织和有效数据查找的数据管理系统对于轻松开发上下文感知应用程序至关重要。在本文中，我们提出了具有查询处理功能的新上下文数据管理系统的设计。我们将上下文源封装到属于不同上下文空间的物理空间中，并将其作为语义覆盖网络中的同行组织。实验系统原型的初始评估结果证明了我们设计的有效性
We envisage future context-aware applications will dynamically adapt their behaviors to various context data from sources in wide-area networks, such as the Internet. Facing the changing context and the sheer number of context sources, a data management system that supports effective source organization and efficient data lookup becomes crucial to the easy development of context-aware applications. In this paper, we propose the design of a new context data management system that is equipped with query processing capabilities. We encapsulate the context sources into physical spaces belonging to different context spaces and organize them as peers in semantic overlay networks. Initial evaluation results of an experimental system prototype demonstrate the effectiveness of our design
