...
首页> 外文期刊>ACM Transactions on Embedded Computing Systems >Compositional Real-Time Scheduling Framework with Periodic Model
【24h】

Compositional Real-Time Scheduling Framework with Periodic Model

机译:具有周期模型的组合实时调度框架

获取原文
获取原文并翻译 | 示例
           

摘要

It is desirable to develop large complex systems using components based on systematic abstraction and composition. Our goal is to develop a compositional real-time scheduling framework to support abstraction and composition techniques for real-time aspects of components. In this paper, we present a formal description of compositional real-time scheduling problems, which are the component abstraction and composition problems. We identify issues that need be addressed by solutions and provide our framework for the solutions, which is based on the periodic interface. Specifically, we introduce the periodic resource model to characterize resource allocations provided to a single component. We present exact schedulability conditions for the standard Liu and Layland periodic task model and the proposed periodic resource model under EDP and RM scheduling, and we show that the component abstraction and composition problems can be addressed with periodic interfaces through the exact schedulability conditions. We also provide the utilization bounds of a periodic task set over the periodic resource model and the abstraction bounds of periodic interfaces for a periodic task set under EDF and RM scheduling. We finally present the analytical bounds of overheads that our solution incurs in terms of resource utilization increase and evaluate the overheads through simulations.
机译:期望使用基于系统抽象和组成的组件来开发大型复杂系统。我们的目标是开发一种组合实时调度框架,以支持组件实时方面的抽象和组合技术。在本文中,我们提出了组成实时调度问题的正式描述,这些问题是组件抽象和组成问题。我们确定解决方案需要解决的问题,并提供基于周期性接口的解决方案框架。具体来说,我们引入周期性资源模型来表征提供给单个组件的资源分配。我们给出了标准的Liu和Layland定期任务模型以及在EDP和RM调度下拟议的周期性资源模型的精确可调度性条件,并表明可以通过精确的可调度性条件使用周期性接口来解决组件抽象和组成问题。我们还提供了在周期性资源模型上的周期性任务集的使用范围以及在EDF和RM调度下周期性任务集的周期性接口的抽象范围。最后,我们提出了解决方案在资源利用率增加方面产生的间接费用的分析范围,并通过仿真评估了间接费用。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号