High-Reliability and Energy-Saving DAG Scheduling in Heterogeneous Multi-Core Systems Based on Task Replication

被引：6
|
作者：
Han, Yu [1 ]
Liu, Jing [1 ]
Hu, Wei [1 ]
Gan, Yu [1 ]
机构：
[1] Wuhan Univ Sci & Technol, Coll Comp Sci & Technol, Wuhan, Peoples R China
来源：
2021 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC) | 2021年
基金：
中国国家自然科学基金;
关键词：
D O I：
10.1109/SMC52423.2021.9658608
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
With the gradual complexity and high parallelization of computing tasks, people have higher and higher requirements for the reliability and energy-saving performance of embedded systems. In this paper, we focus on the scheduling of parallel application in heterogeneous systems. Based on task replication and DVFS techniques, we propose two algorithms ERO and ORO that could reduce energy consumption while meeting the task reliability requirements. Comparative experiments with EFSRG and HRRM shown that ERO and ORO algorithms provide more energy savings and lower schedule lengths for the given reliability requirement.
引用
收藏
页码：2012 / 2017
页数：6
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