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Algorithms for power savings

机译:节能算法

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This paper examines two different mechanisms for saving power in battery-operated embedded systems. The first is that the system can be placed in a sleep state if it is idle. However, a fixed amount of energy is required to bring the system back into an active state in which it can resume work. The second way in which power savings can be achieved is by varying the speed at which jobs are run. We utilize a power consumption curve P(s). which indicates the power consumption level given a particular speed. We assume that P(s) and P(s)/s are convex. The problem is to schedule arriving jobs in a way that minimizes total energy use and so that each job is completed after its arrival time and before its deadline. Although each problem has been considered separately, this is the first theoretical analysis of systems which can use both mechanisms. We give an off line algorithm which is within a factor of three of the optimal algorithm. We also give an online algorithm with a constantcompetitive ratio.
机译:本文研究了两种不同的电池供电嵌入式系统中的节能机制。首先是如果系统处于空闲状态,则可以将其置于睡眠状态。但是,需要固定的能量才能使系统恢复到可以恢复工作的活动状态。可以实现节能的第二种方法是通过改变作业的运行速度。我们利用功耗曲线 P(s)。表示在特定速度下的功耗水平。我们假设 P(s) P(s)/ s 是凸的。问题在于以最小化总能源消耗的方式安排到达的工作,以便每个工作在到达时间之后和截止日期之前完成。尽管已经分别考虑了每个问题,但这是可以同时使用两种机制的系统的首次理论分析。我们给出一种离线算法,该算法在最佳算法的三分之一以内。我们还给出了具有恒定竞争比的在线算法。

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