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Dongarra Jack - Distributed and Cloud Computing

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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. 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.

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Distributed and Cloud Computing From Parallel Processing to the Internet of - photo 1
Distributed and Cloud Computing
From Parallel Processing to the Internet of Things

Kai Hwang

Geoffrey C. Fox

Jack J. Dongarra

Table of Contents Copyright Acquiring Editor Todd Green Development - photo 2

Table of Contents
Copyright

Acquiring Editor: Todd Green

Development Editor: Robyn Day

Project Manager: Danielle S. Miller

Designer: Eric DeCicco

Morgan Kaufmann is an imprint of Elsevier

225 Wyman Street, Waltham, MA 02451, USA

2012 Elsevier, Inc. All rights reserved.

AMD, the AMD logo, AMD Opteron, and combinations thereof are trademarks of, and used with permission from, Advanced Micro Devices, Inc.

No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording, or any information storage and retrieval system, without permission in writing from the publisher. Details on how to seek permission, further information about the Publishers permissions policies and our arrangements with organizations such as the Copyright Clearance Center and the Copyright Licensing Agency, can be found at our website: www.elsevier.com/permissions.

This book and the individual contributions contained in it are protected under copyright by the Publisher (other than as may be noted herein).

Notices

Knowledge and best practice in this field are constantly changing. As new research and experience broaden our understanding, changes in research methods or professional practices, may become necessary. Practitioners and researchers must always rely on their own experience and knowledge in evaluating and using any information or methods described herein. In using such information or methods they should be mindful of their own safety and the safety of others, including parties for whom they have a professional responsibility.

To the fullest extent of the law, neither the Publisher nor the authors, contributors, or editors, assume any liability for any injury and/or damage to persons or property as a matter of products liability, negligence or otherwise, or from any use or operation of any methods, products, instructions, or ideas contained in the material herein.

Library of Congress Cataloging-in-Publication Data

Application submitted

British Library Cataloguing-in-Publication Data

A catalogue record for this book is available from the British Library.

ISBN: 978-0-12-385880-1

For information on all MK publications visit our website at www.mkp.com

Typeset by: diacriTech, Chennai, India

Printed in the United States of America

13 14 15 10 9 8 7 6 5 4 3 2

Dedication This book is dedicated to our wives Jennifer Judy and Sue and - photo 3

Dedication

This book is dedicated to our wives: Jennifer, Judy, and Sue; and to our children: Tony, Andrew, Katherine, Annie, Alexis, James, Heather, Pamela, Oliver, Nick, Ben, and Katie.

KH, GF, and JD

Preface

Kai Hwang, Geoffrey C. Fox and Jack J. Dongarra

About the Book

Over the past three decades, parallel processing and distributed computing have emerged as a well-developed field in computer science and information technology. Many universities and colleges are now offering standard courses in this field. However, the instructors and students are still in search of a comprehensive textbook that integrates computing theories and information technologies with the design, programming, and application of distributed systems. This book is designed to meet these demands. The book can be also used as a major reference for professionals working in this field.

The book addresses the latest advances in hardware and software, system architecture, new programming paradigms, and ecosystems emphasizing both speed performance and energy efficiency. These latest developments explain how to create high-performance clusters, scalable networks, automated data centers, and high-throughput cloud/grid systems. We also cover programming, and the use of distributed or cloud systems in innovative Internet applications. The book aims to transform traditional multiprocessors and multi-computer clusters into web-scale grids, clouds, and P2P networks for ubiquitous use in the future Internet, including large-scale social networks and the Internet of things that are emerging rapidly in recent years.

A Glance at the Contents

We have included many milestone developments in a single volume. We present the contributions not only from our own research groups but also from leading research peers in the U.S., China, and Australia. Collectively, this group of authors and contributors summarize the progress that has been made in recent years, ranging from parallel processing to distributed computing and the future Internet.

Starting with an overview of modern distributed models, the text exposes the design principles, system architectures and innovative applications of parallel, distributed, and cloud computing systems. This book attempts to integrate parallel processing technologies with the network-based distributed systems. The book emphasizes scalable physical systems and virtualized data centers and cloud systems for research, e-commerce, social networking, supercomputing, and more applications, using concrete examples from open-source and commercial vendors.

The nine chapters are divided into three Parts: Part 1 covers system models and enabling technologies, including clustering and virtualization. Part 2 presents data center design, cloud computing platforms, service-oriented architectures, and distributed programming paradigms and software support. In Part 3, we study computational/data grids, peer-to-peer networks, ubiquitous clouds, the Internet of Things, and social networks.

Cloud computing material is addressed in six . Cloud systems presented include the public clouds: Google AppEngine, Amazon Web Service, Facebook, SalesForce.com, and many others. These cloud systems play an increasingly important role in upgrading the web services and Internet applications. Computer architects, software engineers, and system designers may want to explore the cloud technology to build the future computers and Internet-based systems.

Key Features

Coverage of modern distributed computing technology including computer clusters, virtualization, service-oriented architecture, massively parallel processors, peer-to-peer systems, cloud computing, social networks, and the Internet of Things.

Major emphases of the book lie in exploiting the ubiquity, agility, efficiency, scalability, availability, and programmability of parallel, distributed, and cloud computing systems.

Latest developments in Hardware, Networks, and System Architecture:

Multi-core CPUs and Many-Core GPUs (Intel, Nvidia, AMD)

Virtual Machines and Virtual Clusters (CoD, Violin, Amazon VPC)

Top-500 Architectures (Tianbhe-1A, Jaguar, Roadrunner, etc.)

Google AppEngine, Amazon AWS, Microsoft Azure, IBM BlueCloud

TeraGrid, DataGrid, ChinaGrid, BOINIC, Grid5000 and FutureGrid

Chord, Napster, BiTorrent, KaZaA, PPlive, JXTA, and .NET

RFID, Sensor Networks, GPS, CPS, and the Internet of Things

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