Textbook in PDF format

One of the major developments in the computing field is Cloud Computing, which enables users to do complicated computations that local devices are unable to handle. The finest feature of cloud computing is the pay-per-use model, which requires customers to pay only for the resources they use for a specified amount of time rather than receiving payment for the entire year or month. A collaborative environment is provided by multi-layered cloud computing, where diverse resources in the form of data centers support various services. Data centers are a diverse group of resources that are deployed across multiple geographic locations in multi-layered cloud computing and have varied computational capacity, architecture, and performance.
Reliable and Intelligent Optimization in Multi-Layered Cloud Computing Architectures examines ways to meet these challenges. It discusses virtual machine placement techniques and task scheduling techniques that optimize resource utilization and minimize energy consumption of cloud data centers. Placement techniques presented can provide an optimal solution to the optimization problem using multiple objectives. The book focuses on basic design principles and analysis of virtual machine placement techniques and task allocation techniques. It also looks at virtual machine placement techniques that can improve quality-of-service (QoS) in service-oriented architecture (SOA) computing. The aims of virtual machine placement include minimizing energy usage, network traffic, economical cost, maximizing performance, and maximizing resource utilization. Other highlights of the book include:
Improving QoS and resource efficiency
Fault-tolerant and reliable resource optimization models
A reactive fault tolerance method using checkpointing restart
Cost and network-aware metaheuristics
Virtual machine scheduling and placement
Electricity consumption in cloud data centers
Written by leading experts and researchers, this book provides insights and techniques to those dedicated to improving cloud computing and its services