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.

• 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

Undergraduate students in cloud computing courses, as well as professionals who want to learn about this technology

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 Program