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Mastering Cloud Computing

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, and a live environment on the Aneka platform where you can experiment and test your work.

  • Explains how to make design choices and tradeoffs to consider when building applications to run in a virtual cloud environment
  • Test and experiment with a live cloud system on the Aneka platform
  • Real-world case studies include scientific, business, and energy-efficiency considerations
  • Download examples and instructor support materials on the book’s companion page

Table of Contents
Chapter 1. Introduction
Chapter 2. Principles of Parallel and Distributed Computing
Chapter 3. Virtualization
Chapter 4. Cloud Computing Architecture
Chapter 5. Aneka: Cloud application platform
Chapter 6. Concurrent Computing: Thread programming
Chapter 7. High-Throughput Computing: Task Programming
Chapter 8. Data Intensive Computing: Map-Reduce Programming
Chapter 9. Cloud Platforms in Industry
Chapter 10. Cloud Applications
Chapter 11. Advanced Topics in Cloud Computing

Book Details

  • Paperback: 468 pages
  • Publisher: Morgan Kaufmann (May 2013)
  • Language: English
  • ISBN-10: 0124114547
  • ISBN-13: 978-0124114548
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