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.

Blues Ain't Nothing But a Good Soul Feeling Bad eBook
Advertising Promotion and Other Aspects of Integrated Marketing Communications, 9th Edition eBook
Human–Computer Interaction eBook
The Young Entrepreneur's Guide to Starting and Running a Business eBook
Why Are All the Black Kids Sitting Together in the Cafeteria? eBook
Measurement Theory in Action eBook
Above the Fold, Revised Edition eBook
Microsoft Office Access 2007 Step by Step eBook
Bring Your Own Devices (BYOD) Survival Guide eBook
Excel 2007 eBook
Businesss Intelligence and Analytics eBook
Mastering Risk and Procurement in Project Management eBook
College Geometry: A Discovery Approach (Subscription) eBook
Manual de gramática y ortografía para hispanos eBook
Food Plant Safety: UV Applications for Food and Non-Food Surfaces eBook
Math for Welders 5th edition eBook
Murach's SQL Server 2016 for Developers eBook
Practice Makes Perfect Mastering Writing eBook
Open-Ended Art for Young Children eBook
An Introduction to Stochastic Modeling, Student Solutions Manual (e-only) eBook
Foundations of Labor and Employment Law 1st Edition eBook
Shelly Cashman Series Microsoft Office 365 & Access 2016: Comprehensive eBook
Microsoft Office Excel 2007 Step by Step eBook
JMP Essentials eBook
Geometric Dimensioning and Tolerancing eBook
The Psychobiotic Revolution eBook
Fight Your Way to a Better Marriage eBook
Geometry of Surfaces: A Practical Guide for Mechanical Engineers eBook
Microsoft Office Excel 2007 Visual Basic for Applications Step by Step eBook
The International Business Environment eBook
Handbook of Scheduling eBook
Accounting Principles eBook
The Complete Project Management Office Handbook eBook
Foundations of Macroeconomics eBook
Narrow Operators on Function Spaces and Vector Lattices, 1st Edition eBook
SuperVision and Instructional Leadership eBook
Swift Game Development: Learn iOS 12 game development using SpriteKit, SceneKit and ARKit 2.0, 3rd Edition eBook 


Reviews
There are no reviews yet.