Cloud Computing

Author Dr. Uzzal Sharma *Dr. Abhijit Bora & Dr. Gypsy Nandi
ISBN: 978-93-92549-74-8

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Book Detail
Publication Year	2026
ISBN-13	978-93-92549-74-8
Edition	1st
Pages	458

Preface
Preface	Cloud Computing has transformed the landscape of modern information technology, evolving from early distributed and grid systems into a foundational platform for innovation across industries. It now underpins services ranging from global e-commerce and social networking to scientific research, artificial intelligence, and the Internet of Things. This book, Cloud Computing, is designed to provide a comprehensive, graduate-level exploration of both the theoretical foundations and practical applications of cloud technologies. The motivation for this work stems from the rapid pace of change in the cloud computing domain. Organizations of all sizes now rely on the cloud for scalable computing power, secure data storage, and seamless application deployment. Yet, beneath its apparent simplicity lies a complex ecosystem involving virtualization, distributed computing, service-oriented architectures, security protocols, and development frameworks. Mastery of these concepts requires not only technical skill but also an understanding of architectural design, resource management, and cost optimization. This book follows a structured progression to address these needs. It begins by introducing the history, characteristics, and architecture of cloud computing, explaining how different system models such as grid, utility, and autonomic computing converged into today’s cloud paradigm. Service and deployment models are examined in detail, including IaaS, PaaS, SaaS, public, private, hybrid, and community clouds, alongside comparisons of their advantages and limitations. Subsequent chapters explore virtualization technologies, distributed file systems, cloud databases, and computational frameworks like MapReduce. Readers will gain insight into platforms such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform, learning their architectures, APIs, and deployment processes. Security an essential concern is treated extensively, covering encryption, identity management, compliance, and secure cloud architectures. The book also addresses emerging trends, such as serverless computing, AI-driven cloud management, and edge and fog computing, highlighting how these developments shape the future of the field. Case studies and examples from enterprise, scientific, and social computing contexts illustrate the real-world impact of cloud technologies. Hands-on labs provide practical experience in setting up virtual cloud environments, deploying and monitoring applications, integrating AI services, and developing with SDKs and APIs. This experiential approach ensures that students not only understand the concepts but can also implement solutions in realistic scenarios.

Preface

Preface

Cloud Computing has transformed the landscape of modern information technology, evolving from early distributed and grid systems into a foundational platform for innovation across industries. It now underpins services ranging from global e-commerce and social networking to scientific research, artificial intelligence, and the Internet of Things. This book, Cloud Computing, is designed to provide a comprehensive, graduate-level exploration of both the theoretical foundations and practical applications of cloud technologies. The motivation for this work stems from the rapid pace of change in the cloud computing domain. Organizations of all sizes now rely on the cloud for scalable computing power, secure data storage, and seamless application deployment. Yet, beneath its apparent simplicity lies a complex ecosystem involving virtualization, distributed computing, service-oriented architectures, security protocols, and development frameworks. Mastery of these concepts requires not only technical skill but also an understanding of architectural design, resource management, and cost optimization. This book follows a structured progression to address these needs. It begins by introducing the history, characteristics, and architecture of cloud computing, explaining how different system models such as grid, utility, and autonomic computing converged into today’s cloud paradigm. Service and deployment models are examined in detail, including IaaS, PaaS, SaaS, public, private, hybrid, and community clouds, alongside comparisons of their advantages and limitations. Subsequent chapters explore virtualization technologies, distributed file systems, cloud databases, and computational frameworks like MapReduce. Readers will gain insight into platforms such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform, learning their architectures, APIs, and deployment processes. Security an essential concern is treated extensively, covering encryption, identity management, compliance, and secure cloud architectures. The book also addresses emerging trends, such as serverless computing, AI-driven cloud management, and edge and fog computing, highlighting how these developments shape the future of the field. Case studies and examples from enterprise, scientific, and social computing contexts illustrate the real-world impact of cloud technologies. Hands-on labs provide practical experience in setting up virtual cloud environments, deploying and monitoring applications, integrating AI services, and developing with SDKs and APIs. This experiential approach ensures that students not only understand the concepts but can also implement solutions in realistic scenarios.

Table of Contents
Table of Contents	1. Cloud Computing

Cloud Computing

₹ 460.00