用于评估上下文质量的细粒度方法

2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops) Pub Date : 2011-03-21 DOI:10.1109/PERCOMW.2011.5766930

Z. Abid, S. Chabridon

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引用次数: 15

摘要

由于最近移动设备、传感器功能和无线通信网络的进步，上下文感知应用在日常生活中变得越来越普遍。然而，如何有效地处理上下文信息仍然是一个重要的问题。考虑上下文数据的质量成为高效上下文管理的基石。在本文中，我们提出了一个细粒度的QoC推理。我们以现有的应用程序示例为基础，并使用COSMOS框架实现其中一个应用程序示例。我们的方法允许更好地控制普及应用程序的行为。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A fine-grain approach for evaluating the quality of context

Context-aware applications are becoming commonplace in everyday life thanks to recent advances in mobile devices, sensor capabilities and wireless communication networks. However, making the manipulation of context information efficient is still an important issue. Taking into account the quality of context data becomes a corner stone of an efficient context management. In this paper, we argue for a fine-grain QoC reasoning. We build on existing application examples and implement one of them with the COSMOS framework. Our approach allows for a better control of the behavior of pervasive applications.

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2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)

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