A Probabilistic Approach to Energy-Constrained Mixed-Criticality Systems
A Probabilistic Approach to Energy-Constrained Mixed-Criticality Systems
复制标题
能量受限混合临界系统的概率方法
DOI：
--
复制
发表时间：
2019
期刊：
影响因子：
--
通讯作者：
W. Fornaciari
中科院分区：
文献类型：
--
作者：
F. Reghenzani;G. Massari;W. Fornaciari
在电池供电的嵌入式系统中，能量预算管理是一个关键方面。对于使用不可靠电源的系统，例如太阳能电池板，连续的系统操作是一个具有挑战性的要求。在这种情况下，有效的管理政策必须依赖于准确的能源估计。在本文中，我们提出了一种基于测量的概率方法来解决最坏情况下的能源消耗（WCEC）估计，再加上一个工作准入算法的能量受限的任务调度。总体目标是展示所提出的方法如何在关键任务系统中也能带来好处，在这些系统中不能容忍不安全的能源预算估计。
In battery-powered embedded systems, the energy budget management is a critical aspect. For systems using unreliable power sources, e.g. solar panels, the continuous system operation is a challenging requirement. In such scenarios, effective management policies must rely on accurate energy estimations. In this paper we propose a measurement-based probabilistic approach to address the worst-case energy consumption (WCEC) estimation, coupled with a job admission algorithm for energy-constrained task scheduling. The overall goal is to demonstrate how the proposed approach can introduce benefits also in mission-critical systems, where unsafe energy budget estimations cannot be tolerated.