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.

A Guidance Approach for the Encouraging Classroom eBook
Aquaculture: Farming Aquatic Animals and Plants Farming Aquatic Animals and Plants eBook
Everything Happens for a Reason eBook
Molecular Biology: Understanding the Genetic Revolution eBook
Arquitectura habitacional Vol I eBook
Multilevel Representations of Power in Harold Pinter's Plays eBook
Graphic Design Thinking: Beyond Brainstorming eBook
Absolute Mayhem eBook
Condominium Governance and Law in Global Urban Context eBook
The Sports Gene eBook
101 Case Studies in Construction Management eBook
The Age of Surveillance Capitalism eBook
Legal Aspects of Health Care Administration eBook
The Complete Idiot's Guide to Self-Testing Your Personality: Rediscover Yourself with More Than 40 Insightful Quizzes eBook
Microsoft Office Excel 2007 Visual Basic for Applications Step by Step eBook
The Complete Project Management Office Handbook eBook
Nursing School Entrance Exams eBook
Geometric Dimensioning and Tolerancing eBook
Elementary Linear Programming with Applications eBook
Learning Leadership: The Five Fundamentals of Becoming an Exemplary Leader eBook
Sustainable Design for Interior Environments eBook
Race and IQ eBook
Geometric Dimensioning and Tolerancing eBook
The Microbiome Solution eBook
International Organizational Behavior eBook
Schaum’s Outline of Logic 2nd edition eBook
Exposure Analysis eBook
Open Circuits: The Inner Beauty of Electronic Components eBook
Supercommunity eBook
Introducing Psychoanalysis: A Graphic Guide eBook
Information Technology for Management: On Demand Strategies for Performance, Growth and Sustainability, Enhanced eText eBook
Human Learning eBook
The Guidebook for Linemen and Cablemen
Our Bodies, Our Data eBook
Visible Learning for Mathematics, Grades K-12: What Works Best to Optimize Student Learning eBook
MyLab Finance with Pearson eText -- Access Card -- for Personal Finance eBook
Building Codes Illustrated: A Guide to Understanding the 2015 International Building Code eBook
Art and the Bible eBook
Basic Grammar and Usage eBook
Bioeconomics of Fisheries Management eBook
Construction Planning, Equipment, and Methods, 10th Edition eBook
Handbook of Scheduling eBook
The Age of Surveillance Capitalism eBook
Elementary and Middle School Mathematics eBook
Always Delicious eBook
The Complete Idiot's Guide to Alchemy eBook
James Kelman: Politics and Aesthetics eBook
Lakeside Company eBook
Human–Computer Interaction eBook
College Geometry with GeoGebra eBook
Acoustic Analyses Using Matlab® and Ansys® eBook
How to Talk so Little Kids Will Listen eBook
Above the Fold, Revised Edition eBook
Soap Making Guide With Recipes eBook
Child Development, 9th Edition eBook
The River Ganga: The Life Line of India eBook
Camaro 5th Gen 2010-2015 eBook
Gendered Voices, Feminist Visions: Classic and Contemporary Readings eBook
College Geometry: A Discovery Approach (Subscription) eBook
MyLab Math with Pearson eText -- Student Access Card -- for Algebra and Trigonometry (18 Weeks) eBook
Understanding Juvenile Law eBook
Facilitating Financial Health: Tools for Financial Planners, Coaches, and Therapists eBook
Emotionally Healthy Spirituality Course Workbook eBook
Category Theory in Context eBook
Encyclopedia of Knot Theory eBook
New Perspectives Microsoft Office 365 & Access 2016: Comprehensive eBook
SuperVision and Instructional Leadership eBook
Essentials of Business Communication eBook
Geometry of Surfaces: A Practical Guide for Mechanical Engineers eBook
Threat Hunting in the Cloud: Defending AWS, Azure and Other Cloud Platforms Against Cyberattacks eBook
The Art of Writing About Art eBook
Teaching Reading to English Language Learners eBook
Powerpoint 2007 eBook
Academic Interactions: Communicating on Campus eBook
STAT2: Modeling with Regression and ANOVA eBook 


Reviews
There are no reviews yet.