Hybrid DVFS Scheduling for Real-Time Systems Based on Reinforcement Learning

2017 ◽  
Vol 11 (2) ◽  
pp. 931-940 ◽  
Author(s):  
Fakhruddin Muhammad Mahbub ul Islam ◽  
Man Lin
Keyword(s):  
Reinforcement Learning ◽  
Real Time ◽  
Real Time Systems ◽  
Time Systems

scholarly journals Reinforcement learning based multi core scheduling (RLBMCS) for real time systems

2020 ◽  
Vol 10 (2) ◽  
pp. 1805
Author(s):  
Dhruva R. Rinku ◽  
M. AshaRani
Keyword(s):  
Reinforcement Learning ◽  
Real Time ◽  
Real Time Systems ◽  
Task Execution ◽  
Priority Assignment ◽  
Core System ◽  
Cpu Usage ◽  
Scheduling Method ◽  
Time Systems ◽  
Feedback Queue

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.

Software Engineering for Real Time Systems

IEE Review ◽  
1992 ◽  
Vol 38 (3) ◽  
pp. 112
Author(s):  
Stuart Bennett
Keyword(s):  
Software Engineering ◽  
Real Time ◽  
Real Time Systems ◽  
Time Systems

Generic Round Robin Scheduling for Real Time Systems

2017 ◽  
Vol 7 (5) ◽  
pp. 148-155
Author(s):  
Pallab Banerjee ◽  
◽  
Riya Shree ◽  
Richa Kumari Verma ◽  
◽  
...  
Keyword(s):  
Real Time ◽  
Round Robin ◽  
Real Time Systems ◽  
Time Systems

Elastic scheduling in real-time systems

2013 ◽  
Vol 32 (2) ◽  
pp. 573-577
Author(s):  
Zhi-bang YANG ◽  
Cheng XU ◽  
Xu ZHOU ◽  
Xue-qing ZHU
Keyword(s):  
Real Time ◽  
Real Time Systems ◽  
Time Systems ◽  
Elastic Scheduling
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