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Situation-Aware Based Self-adaptive Architecture for Mission Critical Systems

机译:关键任务系统的基于情境感知的自适应体系结构

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Conventional mission-critical systems cannot prevent mission failure in dynamic battlefield environments in which the execution situations or missions change abruptly. To solve this problem, self-adaptive systems have been proposed in the literature. However, the previous studies do not offer specifics on how to identify changes in a system situation or to transform situation information into the actions the systems must take in dynamic environments. This paper proposes a situation-awareness based self-adaptive system architecture (SASA) to support more efficient adaptation and, hence, achieve more accurate and successful missions, even in dynamic execution environments. A case study for air defense systems (ADS) using tests in a HLA/TRI-based real-time distributed simulation environment was implemented.
机译:传统的关键任务系统无法防止执行状况或任务突然变化的动态战场环境中的任务失败。为了解决这个问题,文献中已经提出了自适应系统。但是,先前的研究没有提供有关如何识别系统状况的变化或如何将状况信息转换为系统在动态环境中必须采取的措施的具体说明。本文提出了一种基于态势感知的自适应系统体系结构(SASA),以支持更有效的自适应,从而即使在动态执行环境中也能实现更准确和成功的任务。利用基于HLA / TRI的实时分布式仿真环境中的测试,对防空系统(ADS)进行了案例研究。

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