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首页> 外文期刊>IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems >A Layered Methodology for the Simulation of Extra-Functional Properties in Smart Systems
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A Layered Methodology for the Simulation of Extra-Functional Properties in Smart Systems

机译:智能系统中额外功能特性仿真的分层方法

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Smart systems represent a broad class of intelligent, miniaturized devices incorporating functionality like sensing, actuation, and control. In order to support these functions, they must include sophisticated and heterogeneous components, such as sensors and actuators, multiple power sources and storage devices, digital signal processing, and wireless connectivity. The high degree of heterogeneity typical of smart systems has a heavy impact on their design: the challenges are not in fact restricted to their functionality, but are also related to a number of extra-functional properties, including power consumption, temperature, and aging. Current simulation- or model-based design approaches do not target a smart system as a whole, but rather single domains (digital, analog, power devices, etc.) or properties. This paper tries to overcome this limitation by proposing a framework for the concurrent simulation of both functionality and such extra-functional properties. The latter are modeled as different information flows, managed by dedicated “virtual buses” and formalized through the adoption of IP-XACT. SystemC, through the support of physical and continuous time modeling provided by its analog and mixed signal extension, is used to implement both functional and extra-functional models. Experimental results show the efficiency, accuracy and modularity of the proposed approach on an example case study, in which substantial speedups with respect to standard model-based design tools go along with a very high degree of accuracy (< 10%). Furthermore, the case study highlights that the proposed framework allows to easily capture at run time the mutual impact of properties, e.g., in case of power and temperature.
机译:智能系统代表了广泛的智能化,小型化设备类别,它们融合了诸如感应,致动和控制之类的功能。为了支持这些功能,它们必须包含复杂的异构组件,例如传感器和执行器,多个电源和存储设备,数字信号处理以及无线连接。智能系统典型的高度异构性对它们的设计有重大影响:挑战实际上并​​不仅限于其功能,还与许多额外的功能有关,包括功耗,温度和老化。当前基于仿真或模型的设计方法并不针对整个智能系统,而是针对单个域(数字,模拟,功率设备等)或属性。本文试图通过提出一个同时仿真功能和此类额外功能特性的框架来克服这一限制。后者被建模为不同的信息流,由专用的“虚拟总线”管理,并通过采用IP-XACT形式化。通过其模拟和混合信号扩展所提供的物理和连续时间建模的支持,SystemC可用于实现功能和功能外的模型。实验结果在一个案例研究中显示了该方法的效率,准确性和模块化,其中相对于基于标准模型的设计工具而言,大幅提高了速度,并且准确性很高(<10%)。此外,案例研究突出表明,提出的框架允许在运行时轻松捕获属性的相互影响,例如在电源和温度的情况下。

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