Multimodal cloud resources utilization forecasting using a Bidirectional Gated Recurrent Unit predictor based on a power efficient Stacked denoising Autoencoders

• Published in: Alexandria engineering journal Vol. 61; no. 12; pp. 11565 - 11577
• Main Authors: Ikhlasse, Hamzaoui, Benjamin, Duthil, Vincent, Courboulay, Hicham, Medromi
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.12.2022; Elsevier
• Subjects: Bidirectional Gated Recurrent Unit; Multimodal instances prediction; Power efficiency; Stacked Denoising Auto Encoders; Time series; Bidirectional Gated Recurrent Unit; Power efficiency; Stacked Denoising Auto Encoders; Multimodal instances prediction; Time series

To reap the advantages of many continual growing cloud services, cloud industries should adopt smart and holistic resources scheduling strategies. By deploying efficient deep learning technologies, many chaotic cloud traffics’ potential issues may be solved. Toward efficient cloud instances rightsiz...