A novel approach for CPU load prediction of cloud server combining denoising and error correction

Computer servers in cloud data centers are known to consume a huge amount of energy in their operations. For energy saving, load balancing has been used but it is only effective when CPU loads are predicted accurately. Noise in the energy consumption data is often a detrimental factor responsible fo...

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Bibliographic Details
Published in:	Computing Vol. 105; no. 3; pp. 577 - 594
Main Authors:	You, Deguang, Lin, Weiwei, Shi, Fang, Li, Jianzhuo, Qi, Deyu, Fong, Simon
Format:	Journal Article
Language:	English
Published:	Vienna Springer Vienna 01.03.2023 Springer Nature B.V
Subjects:	Artificial Intelligence Central processing units Cloud computing Computer Appl. in Administrative Data Processing Computer Communication Networks Computer Science CPUs Curve fitting Data centers Decomposition Energy consumption Error correction Error correction & detection Information Systems Applications (incl.Internet) Load Noise prediction Noise reduction Performance measurement Similarity Software Engineering Special Issue Article Data centers 65K05 Long short-term memory Error correction Load prediction 68P99 Denoising
ISSN:	0010-485X, 1436-5057
Online Access:	Get full text
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