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Online Periodic Self-Test Scheduling for Real-Time Processor-Based Systems Dependability Enhancement

机译:在线实时自检计划,用于基于处理器的实时系统可靠性增强

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Online periodic self-testing is a cost-effective technique to ensure correct operation of microprocessor-based systems in the field and improve their dependability in the presence of failures caused by components aging/wearout. Effective online self-test tasks in embedded systems should have limited resource requirements: memory, execution time, and power consumption, while at the same time, they should guarantee the highest possible self-test quality levels. These requirements are not always easy to satisfy in real-time embedded systems with hard task deadlines. In this paper, we investigate the maximization of the effective self-test utilization and present solutions for the scheduling of online self-test tasks in hard real-time systems. The primary goal is to guarantee high self-test quality without affecting the deadline requirements of normal hard real-time tasks. We show that with appropriate selection of the periodicity of the self-test tasks, these goals can be met.
机译:在线定期自检是一种经济有效的技术,可确保在现场对基于微处理器的系统进行正确操作,并在存在因组件老化/磨损而导致的故障的情况下提高其可靠性。嵌入式系统中有效的在线自检任务应具有有限的资源要求:内存,执行时间和功耗,同时,它们应保证尽可能高的自检质量水平。这些要求在具有艰巨任务期限的实时嵌入式系统中并不总是很容易满足。在本文中,我们研究了有效的自测利用率的最大化,并提出了在硬实时系统中安排在线自测任务的解决方案。主要目标是在保证高自测质量的同时,不影响常规硬实时任务的期限要求。我们表明,通过适当选择自检任务的周期性,可以实现这些目标。

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