基于AADL的云网络物理系统建模

Lichen Zhang
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引用次数: 0

摘要

基于云的信息物理系统,如汽车和智能交通系统,现在越来越受到人们的关注。这些系统通常包括覆盖各种组件的大规模分布式传感器网络,并产生大量的测量数据。大量的建模语言被用于描述网络物理系统或其各个方面,为网络物理系统的开发做出了贡献。但大多数建模技术只关注软件方面,无法准确表达整个基于云的网络物理系统,在设计时需要适当的视图和工具;但是这些工具很难在系统或面向对象的方法下使用。例如,使用最广泛的建模语言UML,不能通过使用前者的标准形式来满足上述设计的需求。本文提出了一种基于AADL的基于云的网络物理系统设计方法,通过该方法,我们可以对这些需求进行分析、建模并应用于云平台上,同时以相对高的可扩展性保证QoS。
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Modeling Cloud Based Cyber Physical Systems Based on AADL
Cloud-based cyber-physical systems, like vehicle and intelligent transportation systems, are now attracting much more attentions. These systems usually include large-scale distributed sensor networks covering various components and producing enormous measurement data. Lots of modeling languages are put to use for describing cyber-physical systems or its aspects, bringing contribution to the development of cyber-physical systems. But most of the modeling techniques only focuse on software aspect so that they could not exactly express the whole cloud-based cyber-physical systems, which require appropriate views and tools in its design; but those tools are hard to be used under systemic or object-oriented methods. For example, the widest used modeling language, UML, could not fulfil the above design's requirements by using the foremer's standard form. This paper presents a method designing the cloud-based cyber-physical systems with AADL, by which we can analyse, model and apply those requirements on cloud platforms ensuring QoS in a relatively highly extensible way at the mean time.
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