Description
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.- Explains how to make design choices and tradeoffs to consider when building applications to run in a virtual cloud environment- Real-world case studies include scientific, business, and energy-efficiency considerations
Table of Contents
1. Introduction2. Principles of Parallel and Distributed Computing3. Virtualization4. Cloud Computing Architecture5. Aneka: Cloud application platform6. Concurrent Computing: Thread programming7. High-Throughput Computing: Task Programming8. Data Intensive Computing: Map-Reduce Programming9. Cloud Platforms in Industry10. Cloud Applications11. Advanced Topics in Cloud Computing
