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Incremental design of adaptive systems

机译:自适应系统的增量设计

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摘要

Current research initiatives like Organic Computing (OC) and Intelligent Environments (IEs) aim at building technology-driven embedded systems that are aware of the conditions in the real world, derive plans of how to act, and pro-actively manipulate their environment to serve the user. As a result, novel systems according to these initiatives are characterised by a high degree of adaptivity, user-sensitivity, robustness and reliability. Adaptivity means that for such systems we defer a part of the design process from design time to runtime. Therefore, we need a runtime infrastructure, which takes care of runtime modifications. And we need a meta-design process responsible for the parametrisation of the runtime infrastructure. This article presents such a meta-design process to develop such systems in a unified way in order to handle the growing complexity in technical systems by focusing on adaptation and self-optimisation capabilities. A promising application for organic concepts and a large-scale testbed for IEs is the control of road traffic signals in urban areas. This article exemplarily applies the proposed design process to a traffic scenario and evaluates it in a realistic setting modelling the (football) stadium environment in Hannover, Germany. Thereby, the significant benefit of the adaptation component developed through the design process is demonstrated in terms of traffic-relevant metrics like delays and energy consumption.
机译:当前的研究计划(例如有机计算(OC)和智能环境(IE))旨在构建技术驱动的嵌入式系统,这些系统应了解现实世界中的情况,得出如何采取行动的计划,并积极地操纵其环境以提供服务用户。结果,根据这些倡议的新颖系统的特征在于高度的适应性,用户敏感性,鲁棒性和可靠性。适应性意味着对于此类系统,我们将设计过程的一部分从设计时间推迟到运行时间。因此,我们需要一个运行时基础结构,它需要对运行时进行修改。我们需要一个负责运行时基础结构参数化的元设计过程。本文介绍了一种以统一的方式开发此类系统的元设计过程,以通过专注于自适应和自我优化功能来应对技术系统中日益增长的复杂性。有机概念的一个有前途的应用和IE的大规模测试平台是对城市地区道路交通信号的控制。本文示例性地将建议的设计过程应用于交通场景,并在对德国汉诺威的(足球)体育场环境进行建模的现实环境中对其进行评估。从而,通过设计过程开发的自适应组件的显着优势已在与流量相关的度量标准(如延迟和能耗)方面得到了证明。

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