用于间歇性无电池设备的充电感知实时操作系统

Mohsen Karimi, Yidi Wang, Youngbin Kim, Yoojin Lim, Hyoseung Kim
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引用次数: 0

摘要

本文介绍了一种充电感知实时操作系统,旨在增强各种物联网(IoT)应用中间歇性供电的无电池设备(ipd)的功能。虽然ipdso具有显著的优势,如延长使用寿命和在极端环境下的可操作性,但它们也带来了独特的挑战,包括需要确保在可变能源可用性下程序执行的向前进展,以及在电力中断期间保持可靠的实时行为。为了应对这些挑战,CARTOS引入了一种混合抢占调度模型,该模型将任务分为计算任务和外围任务,并通过对可分计算任务采用即时检查点和对不可分外围任务采用不间断执行来确保任务的高效及时执行。CARTOS还支持具有优先级约束的任务处理链,并根据环境变化调整其调度,以在不同条件下提供连续执行。CARTOS是通过添加到FreeRTOS中的新api和组件实现的,但其设计是为了可移植到其他嵌入式rtos中。通过真实的硬件实验和模拟,CARTOS表现出优于最先进方法的性能,证明它可以作为开发ipd上弹性实时传感应用的实用平台。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CARTOS: A Charging-Aware Real-Time Operating System for Intermittent Batteryless Devices
This paper presents CARTOS, a charging-aware real-time operating system designed to enhance the functionality of intermittently-powered batteryless devices (IPDs) for various Internet of Things (IoT) applications. While IPDs offer significant advantages such as extended lifespan and operability in extreme environments, they pose unique challenges, including the need to ensure forward progress of program execution amidst variable energy availability and maintaining reliable real-time time behavior during power disruptions. To address these challenges, CARTOS introduces a mixed-preemption scheduling model that classifies tasks into computational and peripheral tasks, and ensures their efficient and timely execution by adopting just-in-time checkpointing for divisible computation tasks and uninterrupted execution for indivisible peripheral tasks. CARTOS also supports processing chains of tasks with precedence constraints and adapts its scheduling in response to environmental changes to offer continuous execution under diverse conditions. CARTOS is implemented with new APIs and components added to FreeRTOS but is designed for portability to other embedded RTOSs. Through real hardware experiments and simulations, CARTOS exhibits superior performance over state-of-the-art methods, demonstrating that it can serve as a practical platform for developing resilient, real-time sensing applications on IPDs.
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