Delivery: Can be download immediately after purchasing. For new customer, we need process for verification from 30 mins to 12 hours.
Version: PDF/EPUB. If you need EPUB and MOBI Version, please contact us.
Compatible Devices: Can be read on any devices.
Cloud computing offers subscription-based on-demand services, and it has emerged as the backbone of the computing industry. It has enabled us to share resources among multiple users through virtualization, which creates a virtual instance of a computer system running in an abstracted hardware layer. Unlike early distributed computing models, it offers virtually limitless computing resources through its large scale cloud data centers. It has gained wide popularity over the past few years, with an ever-increasing infrastructure, a number of users, and the amount of hosted data. The large and complex workloads hosted on these data centers introduce many challenges, including resource utilization, power consumption, scalability, and operational cost. Therefore, an effective resource management scheme is essential to achieve operational efficiency with improved elasticity. Machine learning enabled solutions are the best fit to address these issues as they can analyze and learn from the data. Moreover, it brings automation to the solutions, which is an essential factor in dealing with large distributed systems in the cloud paradigm. 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. Key Features: The first book to set out a range of machine learning methods for efficient resource management in a large distributed network of clouds. Predictive analytics is an integral part of efficient cloud resource management, and this book gives a future research direction to researchers in this domain. It is written by leading international researchers. The book is ideal for researchers who are working in the domain of cloud computing.
This is a digital product.
Machine Learning for Cloud Management 1st Edition is written by Jitendra Kumar; Ashutosh Kumar Singh; Anand Mohan; Rajkumar Buyya and published by Chapman & Hall. The Digital and eTextbook ISBNs for Machine Learning for Cloud Management are 9781000476613, 1000476618 and the print ISBNs are 9780367622565, 0367622564. Additional ISBNs for this eTextbook include 9780367626488, 9781003110101, 9781000476590, 9781032939667.

Employee Engagement Through Effective Performance Management eBook
Building Codes Illustrated: A Guide to Understanding the 2015 International Building Code eBook
Applications and Investigations in Earth Science eBook
Bring Your Own Devices (BYOD) Survival Guide eBook
Child Abuse Pocket Atlas, Volume 2 eBook
Edibles eBook
MindTap Marketing for Pride/Ferrell's Foundations of Marketing, 8th Edition [Instant Access], 1 term (6 months) eBook
Ornament of the Italian Renaissance eBook
The Song Machine: Inside the Hit Factory eBook
Essentials of Abnormal Psychology eBook
Aesthetics, Disinterestedness, and Effectiveness in Political Art, 1st Edition eBook
Human–Computer Interaction eBook
Disrupting Gendered Pedagogies in the Early Childhood Classroom eBook
Word 2007 eBook
Cengage Advantage Books: The American Pageant, Volume 2: Since 1865 eBook
Above the Fold, Revised Edition eBook
Art of Self Invention eBook
Excel 2007 eBook
Invitation to Public Speaking Handbook eBook
The Ultimate Guide to Black Bear Hunting eBook
QuickBooks Online For Dummies eBook
Applying Math with Python: Over 70 practical recipes for solving real-world computational math problems, 2nd Edition eBook
Web and Big Data: APWeb-WAIM 2017 International Workshops: MWDA, HotSpatial, GDMA, DDC, SDMA, MASS, Beijing, China, July 7-9, 2017, Revised Selected Papers eBook
Geometry of Surfaces: A Practical Guide for Mechanical Engineers eBook
The Age of Surveillance Capitalism eBook
Transnational Management eBook
Information Technology for Management: On Demand Strategies for Performance, Growth and Sustainability, Enhanced eText eBook
Psychodynamic Perspectives on Working with Children, Families, and Schools
Brown Trout: Biology, Ecology and Management eBook
Multivariate Prediction, de Branges Spaces, and Related Extension and Inverse Problems eBook
Basic Witches eBook
100 Things Every Designer Needs to Know About People eBook
The Complete Project Management Office Handbook eBook
Heritage of World Civilizations, The, Volume 2 eBook
Delusions of Gender: How Our Minds, Society, and Neurosexism Create Difference eBook
The Telomere Effect eBook
Nursing School Entrance Exams Prep 2019-2020 eBook 


Reviews
There are no reviews yet.