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首页> 外文期刊>Sensors >From Ambient Sensing to IoT-based Context Computing: An Open Framework for End to End QoC Management †
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From Ambient Sensing to IoT-based Context Computing: An Open Framework for End to End QoC Management †

机译:从环境感知到基于IoT的上下文计算:端到端QoC管理的开放框架†

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摘要

Quality of Context (QoC) awareness is recognized as a key point for the success of context-aware computing. At the time where the combination of the Internet of Things, Cloud Computing, and Ambient Intelligence paradigms offer together new opportunities for managing richer context data, the next generation of Distributed Context Managers (DCM) is facing new challenges concerning QoC management. This paper presents our model-driven QoCIM framework. QoCIM is the acronym for Quality of Context Information Model. We show how it can help application developers to manage the whole QoC life-cycle by providing genericity, openness and uniformity. Its usages are illustrated, both at design time and at runtime, in the case of an urban pollution context- and QoC-aware scenario.
机译:上下文质量(QoC)意识被认为是上下文感知计算成功的关键。物联网,云计算和环境智能范式的结合为管理更丰富的上下文数据提供了新的机会时,下一代分布式上下文管理器(DCM)面临着有关QoC管理的新挑战。本文介绍了我们模型驱动的QoCIM框架。 QoCIM是上下文信息模型质量的首字母缩写。我们展示了它如何通过提供通用性,开放性和统一性来帮助应用程序开发人员管理整个QoC生命周期。在城市污染情境和QoC意识情景下,在设计时和运行时说明了其用法。

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