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Energy Minimizing for Parallel Real-Time Tasks Based on Level-Packing

机译:基于级别打包的并行实时任务的能量最小化

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While much work has addressed energy minimizing problem of real-time sequential tasks, little has been done for the parallel real-time task case. In this paper, based on level-packing, we study energy minimization problem for parallel task systems with discrete operation modes and under timing constraints. For tasks with fixed (variable) parallel degrees, we first formulate the problem as a 0-1 Integer Linear Program (0-1 ILP), and then propose a polynomial-time complexity two-step (three-step) heuristic to determine task schedule and frequency assignment (and the task parallel degree). Our simulation result shows that the heuristics consume nearly the same energy as do 0-1 ILPs.
机译:尽管许多工作已解决了实时顺序任务的能量最小化问题,但对于并行实时任务情况却做得很少。在本文中,我们基于级别打包研究了具有离散操作模式且受时间限制的并行任务系统的能量最小化问题。对于具有固定(可变)并行度的任务,我们首先将问题表述为0-1整数线性程序(0-1 ILP),然后提出多项式时间复杂度两步(三步)启发式方法来确定任务进度和频率分配(以及任务并行度)。我们的仿真结果表明,启发式算法消耗的能量几乎与0-1 ILP相同。

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