面向系统的系统的严格建模形式

Tayfun Gezgin, Christoph Etzien, Stefan Henkler, A. Rettberg
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引用次数: 28

摘要

本文的研究范围是协作的、分布式的安全关键系统,它建立了一个更大规模的系统系统(SoS)。参与SoS的系统既遵循全球目标,也遵循个人目标,这可能是相互矛盾的。整体SoS的全球和地方目标都可能随着时间的推移而改变。因此,自适应能力,即SoS的重新配置作为对其环境变化的反应,是该系统的主要特征。本文的目的是描述在安全关键环境中SoS建模形式主义的第一步。挑战在于一方面解决在运行时调整系统所需的灵活性,另一方面保证系统仍然以安全的方式作出反应。为了解决这些挑战,我们提出了一种方法,保证系统在适应不确定性(包括环境变化)时仍然以安全的方式做出反应。在设计时必须假定这种适应是不安全的。成功的关键是将系统之间的交互以及其目标定义为设计的基本元素。在之前工作的基础上,我们提出了一种定义良好的交互建模方法,该方法基于组件作为基本结构元素、交互设计的契约范式和图转换,解决了系统的系统的自适应问题。另外,目标显式地丰富了组件模型,它支持所谓的评估函数,以确定目标实现的级别。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards a Rigorous Modeling Formalism for Systems of Systems
The scope of this paper is collaborative, distributed safety critical systems which build up a larger scale system of systems (SoS). Systems participating in an SoS follow both global as well as individual goals, which may be contradicting. Both the global and local goals of the overall SoS may change over time. Hence, self-adaptive ness, i.e., reconfiguration of the SoS as a reaction on changes within its context is a major characteristic of this systems. The aim of this paper is to describe first steps towards a modeling formalism for SoS in a safety critical context. The challenge is to address on the one hand the required flexibility to adapt the system during run-time and on the other hand to guarantee that the system reacts still in a safe manner. To address these challenges, we propose an approach which guarantees that the system still reacts in a safe manner while adaption to uncertainty including context changes. This adaption has to be assumed as unsafe during design time. The key for having success is to define the interaction between the systems as well as its goals as basic elements of the design. Based on our former work, we propose a well-defined modeling approach for the interaction based on components as basic structural elements, the contract paradigm for the design of the interaction, and graph transformations, which addresses the adaptivity of system of systems. The component model is additionally explicitly enriched by goals, which supports so called evaluation functions to determine the level of target achievement.
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