Q‐scheduler: A temperature and energy‐aware deep Q‐learning technique to schedule tasks in real‐time multiprocessor embedded systems
Abstract Reducing energy consumption under processors' temperature constraints has recently become a pressing issue in real‐time multiprocessor systems on chips (MPSoCs). The high temperature of processors affects the power and reliability of the MPSoC. Low energy consumption is necessary for r...
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Main Authors: | Mahsa Mohammadi, Hakem Beitollahi |
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Format: | Article |
Language: | English |
Published: |
Wiley
2022-07-01
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Series: | IET Computers & Digital Techniques |
Online Access: | https://doi.org/10.1049/cdt2.12044 |
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