Energy efficiency in cloud computing based on mixture power spectral density prediction.
Dinh-Mao BuiNguyen Anh TuEui-Nam HuhPublished in: J. Supercomput. (2021)
Keyphrases
- data center
- energy efficiency
- cloud computing
- power spectral density
- prediction error
- blind separation
- power consumption
- energy efficient
- computing resources
- virtual machine
- energy consumption
- fourier transform
- spectral analysis
- high performance computing
- distributed computing
- data management
- frequency band
- power spectrum
- wireless sensor networks
- sensor networks
- cloud computing platform
- cost effective
- motion vectors
- management system
- routing algorithm
- multi hop
- database
- web services
- machine learning
- data sets