Machine learning for cloud management / Jitendra Kumar, Ashutosh Kumar Singh, Anand Mohan, Rajkumar Buyya.

By:

Kumar, Jitendra, 1975- [author.]

Contributor(s):

Material type: Text

TextPublisher: Boca Raton : CRC Press/Taylor & Francis Group, 2022Edition: First editionDescription: xxiv, 172 pages : illustrations ; 27 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9780367626488
9780367622565

Subject(s):

DDC classification:

004.67/82 23

LOC classification:

QA76.585 .K85 2022

Summary: "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"-- Provided by publisher.

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Holdings
Item type	Current library	Call number	Status	Barcode
Books	RLKU Library & Information Resource Center	005 KUM (Browse shelf(Opens below))	Available	13056
Books	RLKU Library & Information Resource Center	005 KUM (Browse shelf(Opens below))	Available	13057
Books	RLKU Library & Information Resource Center	005 KUM (Browse shelf(Opens below))	Available	13058
Books	RLKU Library & Information Resource Center	005 KUM (Browse shelf(Opens below))	Available	13059
Books	RLKU Library & Information Resource Center	005 KUM (Browse shelf(Opens below))	Available	13060

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Includes bibliographical references (pages 159-170) and index.

"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"-- Provided by publisher.

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