Mastering Cloud Computing - Edition 2 - By Rajkumar Buyya, Ph.D., Christian Vecchiola, Ph.D., S.Thamarai Selvi, Ph.D., Shivananda Poojara, MSc and Satish Narayana Srirama, Ph.D. Elsevier Educate

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Mastering Cloud Computing,

Edition 2 Foundations and Applications Programming

By Rajkumar Buyya, Ph.D., Christian Vecchiola, Ph.D., S.Thamarai Selvi, Ph.D., Shivananda Poojara, MSc and Satish Narayana Srirama, Ph.D.

Publication Date: 01 Mar 2026

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Mastering Cloud Computing: Foundations and Applications Programming, Second Edition serves as a comprehensive introduction for readers seeking to develop applications in the ever-evolving world of cloud computing. As technology advances, applications are no longer confined to a single machine but instead operate from virtual servers, accessible globally at any time. This book equips aspiring developers with the essential tools and knowledge to create effective cloud-based applications. Beyond the foundational principles, the book delves into distributed and parallel computing, providing in-depth coverage of virtualization, thread programming, task programming, and map-reduce techniques.

It also addresses the development of applications for various cloud architectures, highlighting industrial platforms and critical security considerations. To reinforce learning, the text integrates real-world case studies, practical examples, hands-on exercises, and lab activities throughout, allowing readers to apply concepts directly and build their expertise effectively.

Key Features

Includes pedagogic chapter elements (Theorems, Program Code Listings, Chapter Summaries, and Review Questions) that are designed to help students understand the important aspects of Cloud Computing
Presents real-world case studies that include scientific, business, and energy-efficiency considerations
Explains how to make design choices and tradeoffs to consider when building applications to run in a virtual cloud environment
Covers critical topics, including parallel and distributed computing, virtualization, cloud computing architecture, cloud applications platforms such as Aneka, thread programming, task programming, map-reduce programming, cloud platforms, and development of cloud applications

About the author

By Rajkumar Buyya, Ph.D., University of Melbourne, Australia; Christian Vecchiola, Ph.D., University of Melbourne, Australia; S.Thamarai Selvi, Ph.D., Madras Institute of Technology, Anna University, Chennai, India; Shivananda Poojara, MSc, Mobile and Cloud Computing Laboratory, University of Tartu and Satish Narayana Srirama, Ph.D., School of Computer and Information Sciences, University of Hyderabad, India

Part 1: Foundations
1. Introduction
1.1 Cloud computing at a glance
1.2 Historical developments
1.3 Building cloud computing environments Summary Review questions

2. Principles of Parallel and Distributed Computing
2.1 Eras of computing
2.2 Parallel vs. distributed computing
2.3 Elements of parallel computing
2.4 Elements of distributed computing
2.5 Technologies for distributed computing Summary Review questions

3. Virtualization
3.1 Introduction
3.2 Characteristics of virtualized environments
3.3 Taxonomy of virtualization techniques
3.4 Virtualization and cloud computing
3.5 Pros and cons of virtualization
3.6 Technology examples Summary Review questions

4. Cloud Computing Architecture
4.1 Introduction
4.2 The cloud reference model
4.3 Types of clouds
4.4 Economics of the cloud
4.5 Open challenges Summary Review questions

Part 2: Cloud Application Programming and the Aneka Platform
5. Aneka: Cloud Application Platform
5.1 Framework overview
5.2 Anatomy of the Aneka container
5.3 Building Aneka clouds
5.4 Cloud programming and management Summary Review questions

6. Concurrent Computing: Thread Programming
6.1 Introducing parallelism for single-machine computation
6.2 Programming applications with threads
6.3 Multithreading with Aneka
6.4 Programming applications with Aneka threads Summary Review questions

7. High-Throughput Computing: Task Programming
7.1 Task computing
7.2 Task-based application models
7.3 Aneka task-based programming Summary Review questions

8. Data-Intensive Computing: MapReduce Programming
8.1 What is data-intensive computing?
8.2 Technologies for data-intensive computing
8.3 Aneka MapReduce programming Summary Review questions

Part 3: Industrial Platforms and New Developments
9. Cloud Platforms in Industry
9.1 Amazon web services
9.2 Google AppEngine
9.3 Microsoft Azure Summary Review questions

10. Cloud Applications
10.1 Scientific applications
10.2 Business and consumer applications Summary Review questions

11. Internet of Things and Edge/Fog Computing
11.1 Energy efficiency in clouds
11.2 Market-based management of clouds
11.3 Federated clouds/InterCloud
11.4 Third-party cloud services Summary Review questions References Index

12. Cloud Computing Security

13. Containers and Serverless Computing

14. Advanced Topics in Cloud Computing

ISBN: 9780443404351

Page Count: 500

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Students in Cloud Computing, Data Management, Data Strategy, Information Management, Distributed Computing, Distributed Programming, and Analytics classes, as well as data analysts, data managers, software engineers, computer science researchers, and data science researchers in academia and industry

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