Improved dynamic frequency-scaling approach for energy-saving-based radial basis function neural network

Improved dynamic frequency-scaling approach for energy-saving-based radial basis function neural network

As dynamic voltage and frequency scaling (DVFS) does not consider predicting system behaviour in the future stage, to improve efficiency of DVFS in fine-grained, the authors propose a central processing unit (CPU) utilisation prediction model based on radial basis function neural network. Their mode...

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Bibliographic Details
Main Authors: Deguang Li, Ruiling Zhang, Shijie Jia, Dong Liu, Yanling Jin, Junke Li
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:IET Cyber-Physical Systems
Subjects:
radial basis function networks
power aware computing
energy conservation
frequency-scaling effect
dynamic voltage and frequency-scaling approach
classical dvfs
cpu utilisation
central processing unit utilisation prediction model
energy-saving-based radial basis function neural network
Online Access:https://digital-library.theiet.org/content/journals/10.1049/iet-cps.2019.0093

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https://digital-library.theiet.org/content/journals/10.1049/iet-cps.2019.0093

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