期刊
JOURNAL OF SYSTEMS ARCHITECTURE
卷 114, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.sysarc.2020.101953
关键词
Heuristic strategy; Multicore scheduling; Energy-aware; Semi-partitioned
The research presents a low-overhead heuristic strategy named SEAMERS for DVFS based energy aware scheduling on a heterogeneous multicore platform, which improves energy savings and resource utilization compared to state-of-the-art methods.
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.
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