Distributed and Cloud Computing: From Parallel Processing to the Internet of Things by Hwang, Kai, Dongarra, Jack, Fox, Geoffrey C. (2007) Paperback

by Kai Hwang

From the leading minds in the field, "Distributed and Cloud Computing" is the first modern, up-to-date distributed systems textbook. Starting with an overview of modern distributed models, the book exposes the design principles, systems architecture, and innovative applications of parallel, distributed, and cloud computing systems. It will teach you how to create high-performance, scalable, reliable systems, providing comprehensive coverage of distributed and cloud computing, Facilitating management, debugging, migration, and disaster recovery through virtualizationClustered systems for research or ecommerce applicationsDesigning systems as web servicesSocial networking systems using peer-to-peer computingPrinciples of cloud computing using examples from open-source and commercial applicationsUsing examples from open-source and commercial vendors, the text describes cloud-based systems for research, e-commerce, social networking and more. 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 Amazon, Microsoft, Google, and moreDesigned to meet the needs of students taking a distributed systems course, each chapter includes exercises and further reading

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

**