上下文感知计算的数据管理

Wenwei Xue, H. Pung, W. Ng, T. Gu
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引用次数: 11

摘要

我们设想未来的上下文感知应用程序将动态地调整其行为以适应来自广域网(如互联网)的各种上下文数据。面对不断变化的上下文和大量上下文源,支持有效的源组织和高效的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。本文提出了一种具有查询处理能力的新型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,并将它们组织为语义覆盖网络中的对等体。实验系统原型的初步评估结果证明了我们设计的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data Management for Context-Aware Computing
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.
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