Mastering Cloud Computing
Foundations and Applications Programming
- 2nd Edition - March 1, 2026
- Authors: Rajkumar Buyya, Christian Vecchiola, S.Thamarai Selvi, Shivananda Poojara, Satish Narayana Srirama
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 4 0 4 3 5 - 1
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 4 0 4 3 6 - 8
Mastering Cloud Computing: Foundations and Applications Programming, Second Edition is designed for readers learning to develop cloud computing applications. Today’s applications… Read more
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Mastering Cloud Computing: Foundations and Applications Programming, Second Edition is designed for readers learning to develop cloud computing applications. Today’s applications don’t live on a single computer but are deployed from and reside on a virtual server, accessible anywhere, any time. Today’s application developers need to understand the requirements of building apps for these virtual systems, including concurrent programming, high-performance computing, and data-intensive systems. The book introduces the principles of distributed and parallel computing underlying cloud architectures and specifically focuses on virtualization, thread programming, task programming, and map-reduce programming. The book covers all you need to develop applications for cloud architectures, including industrial platforms and security considerations. Real-world case studies and examples demonstrate the key concepts, with exercises and labs throughout the book.
- Pedagogic Chapter Elements (Theorems, Program Code Listings, Chapter Summaries, and Review Questions) are designed to help students understand important aspects of Cloud Computing and lead them to Foundational learning throughout each chapter of the text
- Real-world case studies 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
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
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
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
- Edition: 2
- Published: March 1, 2026
- Language: English
RB
Rajkumar Buyya
Dr. Rajkumar Buyya is Redmond Barry Distinguished Professor and Director of the Cloud Computing and
Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia. He is also serving as the
founding CEO of Manjrasoft, a spin-off company of the University, commercializing its innovations in Cloud
Computing. He has authored over 650 publications and seven textbooks including Mastering Cloud Computing
from McGraw Hill, China Machine Press, and Morgan Kaufmann for Indian, Chinese and international markets
respectively. Dr. Buyya is one of the most highly-cited authors in Computer Sience and Software Engineering
worldwide. “A Scientometric Analysis of Cloud Computing Literature” by German scientists ranked Dr. Buyya
as the World's Top-Cited Author and the World's Most-Productive Author in Cloud Computing. He has been
recognized as a Web of Science “Highly Cited Researcher” for four consecutive years since 2016. Dr. Buyya
was recognized as Scopus Researcher of the Year 2017 with Excellence in Innovative Research Award from
Elsevier; "Lifetime Achievement Awards" from two Indian universities, and the “Best of the World,” in the
Computing Systems field, by The Australian 2019 Research Review. Software technologies for Grid, Cloud, and
Fog computing developed under Dr. Buyya's leadership have gained rapid acceptance and are in use at several
academic institutions and commercial enterprises in 40 countries around the world. Dr. Buyya has led the
establishment and development of key community activities, including serving as foundation Chair of the IEEE
Technical Committee on Scalable Computing and five IEEE/ACM conferences. These contributions and the
international research leadership of Dr. Buyya are recognized through the award of the “2009 IEEE Medal for
Excellence in Scalable Computing” from the IEEE Computer Society TCSC. Manjrasoft's Aneka Cloud
technology developed under his leadership has received the "Frost & Sullivan New Product Innovation Award."
Dr. Buyya served as founding Editor-in-Chief of the IEEE Transactions on Cloud Computing. He is currently
serving as Editor-in-Chief of Software: Practice and Experience, a long-standing journal in the field, established
more than 50 years ago.
Affiliations and expertise
University of Melbourne, AustraliaCV
Christian Vecchiola
Christian Vecchiola is a research member at the IBM Research Lab Australia, located in Melbourne and Research Fellow at the School of Engineering, at the University of Melbourne. His areas of interest include technologies and infrastructures for a smarter planet, disaster management and resilience, cloud computing, and software engineering.
Affiliations and expertise
University of Melbourne, AustraliaSS
S.Thamarai Selvi
Dr. S Thamarai Selvi has served as Professor and Dean of Madras Institute of Technology (MIT) at Anna University, Chennai, India; and Principal Investigator of the Centre for Advance Computing Research and Education (CARE) supported by the Department of Information Technology (DIT), Ministry of Information and Communication Technology of the Government of India. She has authored over 150 publications and four textbooks including Object Oriented Programming with Java published by Tata McGraw Hill, India, 2009.
Affiliations and expertise
Madras Institute of Technology, Anna University, Chennai, IndiaSP
Shivananda Poojara
Shivananda Poojara is a Junior Research Fellow and Doctoral Candidate at the Mobile and Cloud Computing Laboratory, University of Tartu, Estonia. His research interests are serverless computing, edge analytics, fog, and cloud computing. He is a member of IEEE, IET, and ISTE. He has a decade of teaching experience and worked as an intern at Nokia R&D Labs in 2013. In 2014, he was honoured with the Infosys Distinguished Facilitator Award. He has conducted numerous workshops and technical seminars on Aneka cloud programming in India and abroad.
Affiliations and expertise
Mobile and Cloud Computing Laboratory, University of TartuSS
Satish Narayana Srirama
Satish Narayana Srirama is a Professor at the School of Computer and Information Sciences, University of Hyderabad, India. He is also a Visiting Professor and the honorary head of the Mobile & Cloud Lab at the Institute of Computer Science, University of Tartu, Estonia, which he led as a Research Professor until June 2020. He received his PhD in computer science from RWTH Aachen University, Germany in 2008. His current research focuses on cloud computing, mobile web services, mobile cloud, Internet of Things, fog computing, migrating scientific computing and enterprise applications to the cloud and large-scale data analytics on the cloud. He is an IEEE Senior Member, an Editor of Wiley Software: Practice and Experience, a 54 year old Journal, was an Associate Editor of IEEE Transactions in Cloud Computing and a program committee member of several international conferences and workshops. Dr. Srirama has co-authored over 200 refereed scientific publications in international conferences and journals. He is also a co-author Mastering of Cloud Computing from Elsevier/Morgan Kaufmann and several other book chapters. In addition, Dr. Srirama has co-edited 3 reference books.
Affiliations and expertise
School of Computer and Information Sciences, University of Hyderabad, India