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M. AshaRani
JNT University
Computer Science & IT Electrical & Electronics Engineering

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Reinforcement learning based multi core scheduling (RLBMCS) for real time systems Dhruva R. Rinku; M. AshaRani
International Journal of Electrical and Computer Engineering (IJECE) Vol 10, No 2: April 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (810.703 KB) | DOI: 10.11591/ijece.v10i2.pp1805-1813

Abstract

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.
Co-Authors Dhruva R. Rinku