Machine learning for cloud management

Time series models -- Error preventive time series models -- Metaheuristic optimization algorithms -- Evolutionary neural networks -- Self directed learning -- Ensemble learning -- Load balancing.

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Bibliographische Detailangaben
1. Verfasser: Kumar, Jitendra (VerfasserIn)
Weitere Verfasser: Singh, Ashutosh Kumar (VerfasserIn), Mohan, Anand (VerfasserIn), Buyya, Rajkumar (VerfasserIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: Boca Raton, London, New York CRC Press 2022
Ausgabe:First edition
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Online Zugang:Inhaltsverzeichnis
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Beschreibung
Zusammenfassung:Time series models -- Error preventive time series models -- Metaheuristic optimization algorithms -- Evolutionary neural networks -- Self directed learning -- Ensemble learning -- Load balancing.
"Machine Learning for Cloud Management explores cloud resource management through predictive modelling and virtual machine placement. The predictive approaches are developed using regression-based time series analysis and neural network models. The neural network-based models are primarily trained using evolutionary algorithms, and efficient virtual machine placement schemes are developed using multi-objective genetic algorithms. The book is ideal for researchers who are working in the domain of cloud computing"--
Beschreibung:Literaturverzeichnsi: Seite 159-170
Includes bibliographical references and index
Beschreibung:xxvi, 172 Seiten
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ISBN:9780367626488
978-0-367-62648-8
9780367622565
978-0-367-62256-5