Reliable and Intelligent Optimization in Multi-Layered Cloud Computing Architectures

Satish Kumar T

ISBN 10: 1032559969 / ISBN 13: 9781032559964

Published by Taylor and Francis Ltd, GB, 2024

About this Item

One of the major developments in the computing field has been cloud computing, which enables users to do complicated computations that local devices are unable to handle. The computing power and flexibility that have made the cloud so popular do not come without challenges. It is particularly challenging to decide which resources to use, even when they have the same configuration but different levels of performance because of the variable structure of the available resources. Cloud data centers can host millions of virtual machines, and where to locate these machines in the cloud is a difficult problem. Additionally, fulfilling optimization needs is a complex problem.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 efficiencyFault-tolerant and reliable resource optimization modelsA reactive fault tolerance method using checkpointing restartCost and network-aware metaheuristics.Virtual machine scheduling and placementElectricity consumption in cloud data centersWritten by leading experts and researchers, this book provides insights and techniques to those dedicated to improving cloud computing and its services.

Seller Inventory # LU-9781032559964

Bibliographic Details

• Title: Reliable and Intelligent Optimization in Multi-Layered Cloud Computing Architectures
• Publisher: Taylor and Francis Ltd, GB
• Publication Date: 2024
• Language: English
• ISBN 10: 1032559969
• ISBN 13: 9781032559964
• Binding: Paperback
• Condition: New
• Weight: 410 grams

About this title

Synopsis

One of the major developments in the computing field has been cloud computing, which enables users to do complicated computations that local devices are unable to handle. The computing power and flexibility that have made the cloud so popular do not come without challenges. It is particularly challenging to decide which resources to use, even when they have the same configuration but different levels of performance because of the variable structure of the available resources. Cloud data centers can host millions of virtual machines, and where to locate these machines in the cloud is a difficult problem. Additionally, fulfilling optimization needs is a complex problem.

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.

About the Author

Madhusudhan H. S. is an Associate Professor in the Department of Computer Science and Engineering at Vidyavardhaka College of Engineering, Mysuru, Karnataka, India.

Satish Kumar T. is an Associate Professor in the Department of Computer Science and Engineering at BMS Institute of Technology and Management, Bengaluru, Karnataka, India.

Punit Gupta is an Post Doc Fellow, School of Computer Science, University College Dublin, Dublin, Ireland.

Dinesh Kumar Saini is a Full Professor at the School of Computing and Information Technology, Manipal University Jaipur, Jaipur, Rajasthan, India.

Kashif Zia is a Research Associate at the MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, United Kingdom.