Scheduling garbage collection in real-time systems

Martin Kero, Simon Aittamaa
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引用次数: 4

Abstract

The key to successful deployment of garbage collection in real-time systems is to enable provably safe schedulability tests of the real-time tasks. At the same time one must be able to determine the total heap usage of the system. Schedulability tests typically require a uniformed model of timing assumptions (inter-arrival times, deadlines, etc.). Incorporating the cost of garbage collection in such tests typically requires both artificial timing assumptions of the garbage collector and restricted capabilities of the task scheduler. In this paper, we pursue a different approach. We show how the reactive object model of the programming language Timber enables us to decouple the cost of a concurrently running copying garbage collector from the schedulability of the real-time tasks. I.e., we enable any regular schedulability analysis without the need of incorporating the cost of an interfering garbage collector. We present the garbage collection demand analysis, which determines if the garbage collector can be feasibly scheduled in the system.
在实时系统中调度垃圾收集
在实时系统中成功部署垃圾收集的关键是启用可证明安全的实时任务可调度性测试。同时,必须能够确定系统的总堆使用情况。可调度性测试通常需要一个统一的时间假设模型(到达时间、截止日期等)。将垃圾收集的成本纳入此类测试中,通常需要对垃圾收集器进行人为的定时假设,并限制任务调度器的能力。在本文中,我们采用了一种不同的方法。我们将展示编程语言Timber的响应式对象模型如何使我们能够将并发运行的复制垃圾收集器的成本与实时任务的可调度性解耦。也就是说,我们支持任何常规的可调度性分析,而不需要考虑干扰性垃圾收集器的成本。我们给出了垃圾收集需求分析,它决定了垃圾收集器在系统中的调度是否可行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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