VTGAN: hybrid generative adversarial networks for cloud workload prediction

VTGAN: hybrid generative adversarial networks for cloud workload prediction

Abstract Efficient resource management approaches have become a fundamental challenge for distributed systems, especially dynamic environment systems such as cloud computing data centers. These approaches aim at load-balancing or minimizing power consumption. Due to the highly dynamic nature of clou...

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Bibliographic Details
Main Authors: Aya I. Maiyza, Noha O. Korany, Karim Banawan, Hanan A. Hassan, Walaa M. Sheta
Format: Article
Language:English
Published: SpringerOpen 2023-06-01
Series:Journal of Cloud Computing: Advances, Systems and Applications
Subjects:
Cloud computing
Workload prediction
GAN
LSTM
GRU
Convolution neural network
Online Access:https://doi.org/10.1186/s13677-023-00473-z

Internet

https://doi.org/10.1186/s13677-023-00473-z

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