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Mastering Cloud Computing is designed for undergraduate students learning to develop cloud computing applications. Tomorrow's applications won’t live on a single computer but will… Read more
LIMITED OFFER
Immediately download your ebook while waiting for your print delivery. No promo code is needed.
Mastering Cloud Computing is designed for undergraduate students learning to develop cloud computing applications. Tomorrow's applications won’t live on a single computer but will be deployed from and reside on a virtual server, accessible anywhere, any time. Tomorrow'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. There are examples demonstrating all of these and more, with exercises and labs throughout.
Acknowledgments
Preface
The book at a glance
Benefits and readership
Directions for adoption: theory, labs, and projects
Supplemental materials
Part 1: Foundations
Chapter 1. Introduction
1.1 Cloud computing at a glance
1.2 Historical developments
1.3 Building cloud computing environments
Summary
Review questions
Chapter 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
Chapter 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
Chapter 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
Chapter 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
Chapter 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
Chapter 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
Chapter 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
Chapter 9. Cloud Platforms in Industry
9.1 Amazon web services
9.2 Google AppEngine
9.3 Microsoft Azure
Summary
Review questions
Chapter 10. Cloud Applications
10.1 Scientific applications
10.2 Business and consumer applications
Summary
Review questions
Chapter 11. Advanced Topics in Cloud 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
RB
CV
SS