文章基本信息

标题：Reinforcement learning based multi core scheduling (RLBMCS) for real time systems
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作者：Dhruva R. Rinku ; M. AshaRani
期刊名称：International Journal of Electrical and Computer Engineering
电子版ISSN：2088-8708
出版年度：2020
卷号：10
期号：2
页码：1805-1813
DOI：10.11591/ijece.v10i2.pp1805-1813
出版社：Institute of Advanced Engineering and Science (IAES)
摘要：Embedded systems with multi core processors are increasingly popular because of the diversity of applications that can be run on it. In this work, a reinforcement learning based scheduling method is proposed to handle the real time tasks in multi core systems with effective CPU usage and lower response time. The priority of the tasks is varied dynamically to ensure fairness with reinforcement learning based priority assignment and Multi Core MultiLevel Feedback queue (MCMLFQ) to manage the task execution in multi core system.
关键词：multi core scheduling;multilevel feedback queue;reinforcement learning;symmetric multiprocessors;