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Thermal-Aware Resource Management for Embedded Real-Time Systems

机译:嵌入式实时系统的热感知资源管理

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With an increasing demand for complex and powerful system-on-chips, modern real-time automotive systems face significant challenges in managing on-chip-temperature. We demonstrate, via real experiments, the importance of accounting for dynamic ambient temperature and task-level power dissipation in resource management so as to meet both thermal and timing constraints. To address this problem, we propose RT-TRM, a real-time thermal-aware resource management framework. We first introduce a task-level dynamic power model that can capture different power dissipations with a simple task-level parameter called the activity factor. We then develop two new mechanisms, adaptive parameter assignment and online idle-time scheduling. The former adjusts voltage/frequency levels and task periods according to the varying ambient temperature while preserving feasibility. The latter generates a schedule by allocating idle times efficiently without missing any task/job deadline. By tightly integrating the solutions of these two mechanisms, we can guarantee both thermal and timing constraints in the presence of dynamic ambient temperature variations. We have implemented RT-TRM on an automotive microcontroller to demonstrate its effectiveness, achieving better resource utilization by 18.2% over other runtime approaches while meeting both thermal and timing constraints.
机译:随着对复杂而强大的片上系统的需求不断增长,现代实时汽车系统在管理片上温度方面面临着严峻的挑战。我们通过真实的实验证明了在资源管理中考虑动态环境温度和任务级功耗的重要性,以便同时满足散热和时序约束。为了解决这个问题,我们提出了RT-TRM,一种实时的热感知资源管理框架。我们首先介绍一个任务级动态功耗模型,该模型可以通过一个称为活动因子的简单任务级参数来捕获不同的功耗。然后,我们开发两种新机制,自适应参数分配和在线空闲时间调度。前者根据环境温度的变化来调整电压/频率水平和任务周期,同时保持可行性。后者通过有效分配空闲时间而不会错过任何任务/作业截止时间来生成计划。通过紧密集成这两种机制的解决方案,我们可以在存在动态环境温度变化的情况下保证温度和时序约束。我们已经在汽车微控制器上实现了RT-TRM,以证明其有效性,与其他运行时方法相比,资源利用率提高了18.2%,同时又满足了热量和时序方面的限制。

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