Thermal Extension of the Total Bandwidth Server

R. Ahmed, Ayoosh Bansal, Bhuvana Kakunoori, P. Ramanathan, K. Saluja
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引用次数: 0

Abstract

A typical real-time application is composed of periodic tasks with hard deadline constraints. It must also service a periodic tasks that are generated in response to external and internal events. In addition to application's timing constraints, it is important that the system never violates thermal constraint due to its increasingly adverse impact on the processing platform. In this work, we propose a scheme for servicing a periodic tasks in thermally constrained hard real-time systems. We propose an algorithm, T2BS, which is a thermal extension of the Total Bandwidth Server [1]. We show that our algorithm is optimal in the sense that it meets periodic task timing constraints as well as system thermal constraints, and it supports the maximum rate of a periodic arrivals. Through extensive simulations we demonstrate the validity of theoretical results and perform the response time analysis of a periodic tasks.
总带宽服务器的热扩展
典型的实时应用程序由具有硬截止日期约束的周期性任务组成。它还必须为响应外部和内部事件而生成的周期性任务提供服务。除了应用程序的时间限制外,由于热约束对处理平台的不利影响越来越大,系统永远不会违反热约束也很重要。在这项工作中,我们提出了一种在热约束硬实时系统中为周期性任务提供服务的方案。我们提出T2BS算法,它是总带宽服务器[1]的热扩展。我们的算法在满足周期性任务时间约束和系统热约束的意义上是最优的,并且它支持周期性到达的最大速率。通过大量的仿真验证了理论结果的有效性,并对周期性任务进行了响应时间分析。
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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