Distributed and Cloud Computing: From Parallel Processing to the Internet of Things

by Kai Hwang, Jack Dongarra, Geoffrey C. Fox

Distributed and Cloud 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 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.

672 pages, Paperback

First published September 29, 2011

Reviews

[vaishnavi ☆ﾟ⁠.⁠* · Rating 1 out of 5]

never wanted to use goodreads to log my college books, but this one in particular makes me so mad. this is supposed to be a textbook? for studying?? am i being pranked rn??

[Fausto Betances · Rating 4 out of 5]

Very good introductory book to the underlying principles of cloud computing. It goes into the right level of details for that purpose and it even has some historical perspective to it.
Its claim to address the Internet of Thing (IoT) is overstated as it dedicates only a short section to that subject in the final chapter. In any event, it was a good read and I would recommend it to those interested in delving into these subjects (cloud computing, distributed computing, grids). Make sure to get the latest version as this one (2011) is quickly becoming obsolete.

[Manikanta Sv · Rating 5 out of 5]

A good book

[Frank Palardy · Rating 4 out of 5]

This is like a textbook. Maybe too much information, not just clouds and software but hardware too. All in all it's a worthwhile book.

[Reejesh]

ok

[Subrahmanyam Sudi]

very nice book.good information.

[Joel · Rating 3 out of 5]

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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