Distributed and Cloud Computing - Edition 1 - By Kai Hwang, Jack Dongarra and Geoffrey C. Fox Elsevier Inspection Copies

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Distributed and Cloud Computing,

Edition 1 From Parallel Processing to the Internet of Things

By Kai Hwang, Jack Dongarra and Geoffrey C. Fox

Publication Date: 17 Oct 2011

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Distributed and Cloud Computing: From Parallel Processing to the Internet of Things offers complete coverage of modern distributed computing technology including clusters, the grid, service-oriented architecture, massively parallel processors, peer-to-peer networking, and cloud computing. It is the first modern, up-to-date distributed systems textbook; it explains how to create high-performance, scalable, reliable systems, exposing the design principles, architecture, and innovative applications of parallel, distributed, and cloud computing systems.

Topics covered by this book include: facilitating management, debugging, migration, and disaster recovery through virtualization; clustered systems for research or ecommerce applications; designing systems as web services; and social networking systems using peer-to-peer computing. The principles of cloud computing are discussed using examples from open-source and commercial applications, along with case studies from the leading distributed computing vendors such as Amazon, Microsoft, and Google. Each chapter includes exercises and further reading, with lecture slides and more available online.

This book will be ideal for students taking a distributed systems or distributed computing class, as well as for professional system designers and engineers looking for a reference to the latest distributed technologies including cloud, P2P and grid computing.

Key Features

Complete coverage of modern distributed computing technology including clusters, the grid, service-oriented architecture, massively parallel processors, peer-to-peer networking, and cloud computing
Includes case studies from the leading distributed computing vendors: Amazon, Microsoft, Google, and more
Explains how to use virtualization to facilitate management, debugging, migration, and disaster recovery
Designed for undergraduate or graduate students taking a distributed systems course—each chapter includes exercises and further reading, with lecture slides and more available online

About the author

By Kai Hwang, University of Southern California, USA; Jack Dongarra, University of Tennessee, USA and Geoffrey C. Fox, Indiana University, USA

Dedication

Preface

About the Book

A Glance at the Contents

Key Features

Readership and Suggestions to Instructors/Students

Invited Contributions

Permissions and Acknowledgements

About the Authors

Foreword

Part 1: Systems Modeling, Clustering, and Virtualization

Introduction

Chapter 1: Distributed System Models and Enabling Technologies

Chapter 2: Computer Clusters for Scalable Parallel Computing

Chapter 3: Virtual Machines and Virtualization of Clusters and Data Centers

Chapter 1. Distributed System Models and Enabling Technologies

Summary

1.1 Scalable Computing Over the Internet

1.2 Technologies for Network-Based Systems

1.3 System Models for Distributed and Cloud Computing

1.4 Software Environments for Distributed Systems and Clouds

1.5 Performance, Security, and Energy Efficiency

1.6 Bibliographic Notes and Homework Problems

Acknowledgments

References

Homework Problems

Chapter 2. Computer Clusters for Scalable Parallel Computing

Summary

2.1 Clustering for Massive Parallelism

2.2 Computer Clusters and MPP Architectures

2.3 Design Principles of Computer Clusters

2.4 Cluster Job and Resource Management

2.5 Case Studies of Top Supercomputer Systems

2.6 Bibliographic Notes and Homework Problems

Acknowledgments

References

Homework Problems

Chapter 3. Virtual Machines and Virtualization of Clusters and Data Centers

Summary

3.1 Implementation Levels of Virtualization

3.2 Virtualization Structures/Tools and Mechanisms

3.3 Virtualization of CPU, Memory, and I/O Devices

3.4 Virtual Clusters and Resource Management

3.5 Virtualization for Data-Center Automation

3.6 Bibliographic Notes and Homework Problems

Acknowledgments

References

Homework Problems

Part 2: Computing Clouds, Service-Oriented Architecture, and Programming

Introduction

Chapter 4: Cloud Platform Architecture over Virtualized Data Centers

Chapter 5: Service-Oriented Architectures for Distributed Computing

Chapter 6: Cloud Programming and Software Environments

Chapter 4. Cloud Platform Architecture over Virtualized Data Centers

Summary

4.1 Cloud Computing and Service Models

4.2 Data-Center Design and Interconnection Networks

4.3 Architectural Design of Compute and Storage Clouds

4.4 Public Cloud Platforms: GAE, AWS, and Azure

4.5 Inter-cloud Resource Management

4.6 Cloud Security and Trust Management

4.7 Bibliographic Notes and Homework Problems

Acknowledgements

References

Homework Problems

Chapter 5. Service-Oriented Architectures for Distributed Computing

Summary

5.1 Services and Service-Oriented Architecture

5.2 Message-Oriented Middleware

5.3 Portals and Science Gateways

5.4 Discovery, Registries, Metadata, and Databases

5.5 Workflow in Service-Oriented Architectures

5.6 Bibliographic Notes and Homework Problems

Acknowledgements

References

Homework Problems

Chapter 6. Cloud Programming and Software Environments

Summary

6.1 Features of Cloud and Grid Platforms

6.2 Parallel and Distributed Programming Paradigms

6.3 Programming Support of Google App Engine

6.4 Programming on Amazon AWS and Microsoft Azure

6.5 Emerging Cloud Software Environments

6.6 Bibliographic Notes and Homework Problems

Acknowledgement

References

Homework Problems

Part 3: Grids, P2P, and the Future Internet

Introduction

Chapter 7: Grid Computing Systems and Resource Management

Chapter 8: Peer-to-Peer Computing and Overlay Networks

Chapter 9: Ubiquitous Clouds and the Internet of Things

Chapter 7. Grid Computing Systems and Resource Management

Summary

7.1 Grid Architecture and Service Modeling

7.2 Grid Projects and Grid Systems Built

7.3 Grid Resource Management and Brokering

7.4 Software and Middleware for Grid Computing

7.5 Grid Application Trends and Security Measures

7.6 Bibliographic Notes and Homework Problems

Acknowledgments

References

Homework Problems

Chapter 8. Peer-to-Peer Computing and Overlay Networks

Summary

8.1 Peer-to-Peer Computing Systems

8.2 P2P Overlay Networks and Properties

8.3 Routing, Proximity, and Fault Tolerance

8.4 Trust, Reputation, and Security Management

8.5 P2P File Sharing and Copyright Protection

8.6 Bibliographic Notes and Homework Problems

Acknowledgements

References

Homework Problems

Chapter 9. Ubiquitous Clouds and the Internet of Things

Summary

9.1 Cloud Trends in Supporting Ubiquitous Computing

9.2 Performance of Distributed Systems and the Cloud

9.3 Enabling Technologies for the Internet of Things

9.4 Innovative Applications of the Internet of Things

9.5 Online Social and Professional Networking

9.6 Bibliographic Notes and Homework Problems

Acknowledgements

References

Homework Problems

Index

ISBN: 9780123858801

Page Count: 672

Retail Price : £65.99

9780123704979, Harris & Harris, Digital Design & Computer Architecture, MK, 592, 94.95, 3/07, Bookscan 755

9780123749574, Saltzer, Principles of Computer Systems Design, MK, 560, 79.95, 7/09, Bookscan 729

9780123705914, Herlihy & Shavit, The Art of Multiprocessor Programming, MK, 528, 72.95, 2/08, Bookscan 3536

9781558609334, Foster et al, The Grid 2e, MK, 748, 83.95, 12/03, Bookscan 1028

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Students taking a distributed systems or distributed computing class; also professional system designers and engineers looking for a reference to the latest distributed technologies including cloud, P2P and grid computing.

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