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

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...

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書誌詳細

出版年:	Alexandria Engineering Journal
主要な著者:	Hamzaoui Ikhlasse, Duthil Benjamin, Courboulay Vincent, Medromi Hicham
フォーマット:	論文
言語:	英語
出版事項:	Elsevier 2022-12-01
主題:	Multimodal instances prediction Stacked Denoising Auto Encoders Bidirectional Gated Recurrent Unit Time series Power efficiency
オンライン･アクセス:	http://www.sciencedirect.com/science/article/pii/S1110016822003295