基于DAG的上下文推理:用于上下文感知应用程序的体系结构

Bernd Niklas Klein, Sian Lun Lau, A. Pirali, Tino Löffler, Klaus David
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引用次数: 3

摘要

普适计算包括我们周围的小而智能的设备。虽然这些设备的硬件在市场上已经有很多年了,但它们在我们的日常生活中仍然不智能。为了普及计算思想的成功,需要一个统一的编程模型。如果没有为普适计算编写智能应用程序的标准方法,特别是上下文感知应用程序以最大限度地减少用户输入,并且没有标准的通信协议,我们将需要很长时间才能在市场上看到这些应用程序。为了建立这样的标准,我们首先需要明确需求,以及如何以最好的方式处理这些需求。在本文中,我们提出了三个重要要求。此外,我们提出了新的框架DAGR(基于上下文推理的有向无环图)来解决这些需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DAGR – DAG Based Context Reasoning: An Architecture for Context Aware Applications
Pervasive computing includes the vision of small but intelligent devices around us. While the hardware of such devices is available in the market for years,they are still not intelligent in our every day life. For the success of the idea of pervasive computing a unified programming model is needed. Without a standard way of composing intelligent applications for pervasive computing, especially context aware applications to minimize user input, and without standard communication protocols it will take a longtime till before we will see those applications in the market. To establish such standards we first need to be clear of the requirements and how to deal with those requirements in the best way. In this paper we present three important requirements. Moreover we present anew framework DAGR (Directed acyclic graph based context reasoning) to address these requirements.
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