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Model-Based Adaptation of Mixed-Criticality Multiservice Systems for Extreme Physical Environments

机译:基于模型的混合临界多业务系统进行极端物理环境的适应

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An increasingly important trend in the design of industry-strength embedded systems is the integration of multiple services with varying criticality levels into a common computing platform. Such systems are characterized as mixed-criticality multiservice systems (MCMSs). An MCMS has to survive in rigorous environments posed by industry-level requirements. Such survival, however, is becoming continuously more challenging due to the growing system complexity and integrating more and more services. While existing works typically target reliability-driven design optimization to improve the system robustness rather than deal with the surviving problem of the system in extreme physical environments, this paper addresses the problem by enabling the service capability transitions of an MCMS to adapt to the environments. This paper proposes a service capability model to capture the importance of functional modules for the criticality of different services. A model-based service-capability transition mechanism is designed to automatically identify the maximum allowed service capability under a given physical environment. A case study of the proposed techniques was performed on an industrial Ethernet switch which is a typical MCMS, to validate the capability of adaptation to high and low temperatures. The experimental results demonstrate the significant potential of our approach to improve system survivability under extreme physical environments.
机译:行业强度嵌入式系统设计中越来越重要的趋势是将多种服务的集成,不同的临界水平变为共同的计算平台。这些系统的特征在于混合临界多业务系统(MCMS)。 MCM必须在由行业级别要求构成的严格环境中生存。然而,这种生存率由于增长的系统复杂性和越来越多的服务而导致持续更具挑战性。虽然现有的作品通常是目标可靠性驱动的设计优化,以提高系统鲁棒性而不是在极端物理环境中处理系统的幸存问题,而本文通过使MCM的服务能力转换能够适应环境来解决问题。本文提出了一种服务能力模型,以捕捉功能模块对于不同服务的关键性的重要性。基于模型的服务能力转换机制旨在自动识别给定的物理环境下的最大允许的服务能力。对该技术的案例研究在作为典型MCM的工业以太网交换机上进行,以验证适应高温和低温的能力。实验结果表明了我们在极端物理环境下提高系统生存能力的方法的显着潜力。

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