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

By:

Kumar, Jitendra

Contributor(s):

Material type: Text

TextEdition: First editionDescription: xxiv, 172 pages : illustrationsISBN:

9780367626488
9780367622565

Subject(s):

DDC classification:

004.6782 23 JIT.M

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"--

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Holdings
Item type	Current library	Home library	Call number	Status	Date due	Barcode
Book	Campus Library Kariavattom	Campus Library Kariavattom	004.6782 KUM.M (Browse shelf(Opens below))	Available		UCL33493

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Previous	No cover image available No cover image available						No cover image available No cover image available	Next
Previous	004.6782 BAU.L Lean computing for the cloud	004.6782 CLO.C Cloud Computing Enabled Big-Data Analytics in Wireless AD-Hoc Networks/	004.6782 KAV.A Architecting the Clouds	004.6782 KUM.M Machine learning for cloud management /	004.6782 MAC.M Machine learning and optimization models for optimization in cloud /	004.6782 MAN.C Cloud Computing: Concepts and Technologies	004.6782 TUL.C Cloud Cost Optimization	Next

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"--

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