形式化图形中上下文感知系统的结构和行为

Jushu Wang, Dong Xu, Zhou Lei
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引用次数: 15

摘要

近年来,上下文感知计算已成为普适计算、云计算、网络物理系统等领域的重要研究方向之一。迄今为止,很少有作品可以找到这一领域的正式方法。本文引入了biggraph及其相关理论,将上下文感知系统的建模形式化。我们使用图形来建模上下文感知系统的结构,而使用图形反应系统来建模上下文感知系统的相应行为。这里,我们将上下文感知的元素映射到bigraph的组件。因此,我们提出了一种将现实生活中的场景转换为图形模型的方法。此外,通过一些简单但不平凡的例子明确地说明了形式主义。
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Formalizing the Structure and Behaviour of Context-Aware Systems in Bigraphs
Context-aware Computing has been one of the important aspects of Ubiquitous Computing, Cloud Computing, Cyber-physical Systems, etc., recently. To date, very few works can be found on formal approaches for this area. Bigraph and its related theories are introduced to formalize the modeling of context-aware systems in this paper. We use bigraphs to model the structure of context-aware system, whereas the corresponding behavior of context-aware system is modeled using bigraphical reactive system. Here we make a mapping from the elements of context-awareness to the components of bigraph. Consequently, we present an approach to translating scenarios in real life into bigraphical models. Furthermore, the formalisms are explicitly illustrated through some simple but non-trivial examples.
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