Over the years, the nature of processing platforms is witnessing a significant shift in most of the battery supported real-time systems, which now support a combination of specialized multicores to meet the demands of modern applications. Devising energy-efficient schedulers has become a critical issue for such kinds of devices. Hence, this research presents a low-overhead heuristic strategy named SEAMERS, for DVFS based energy-aware scheduling for a set of real-time periodic tasks on a heterogeneous multicore platform. The presented strategy operates in four phases, namely Deadline Partitioning, Core Clustering, Task Allocation and Energy-Aware Scheduling. Our experimental analysis shows that the presented strategy improves upon the state-of-the-art in terms of energy savings (16% to 47% on average) and enables significant improvement in resource utilization.

多年来，处理平台的性质正在见证大多数电池支持的实时系统的重大转变，这些实时系统现在支持组合专用多核以满足现代应用程序的需求。设计节能调度器已成为此类设备的关键问题。因此，本研究提出了一种名为SEAMERS的低开销启发式策略，用于基于DVFS的能源感知调度，用于异构多​​核平台上的一组实时周期性任务。提出的策略分四个阶段进行，分别是截止期限划分，核心集群，任务分配和能源感知调度。我们的实验分析表明，所提出的策略在节能方面（最先进的平均水平为16％至47％）进行了改进，并且可以显着提高资源利用率。