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

Hwang, Kai

Softcover

ISBN 10: 0123858801 ISBN 13: 9780123858801

Publisher: Morgan Kaufmann, 2011

Synopsis

Distributed and Cloud Computing, named a 2012 Outstanding Academic Title by the American Library Association's Choice publication, explains how to create high-performance, scalable, reliable systems, exposing the design principles, architecture, and innovative applications of parallel, distributed, and cloud computing systems. Starting with an overview of modern distributed models, the book provides comprehensive coverage of distributed and cloud computing, including: Facilitating management, debugging, migration, and disaster recovery through virtualization Clustered systems for research or ecommerce applications Designing systems as web services Social networking systems using peer-to-peer computing Principles of cloud computing using examples from open-source and commercial applications Using examples from open-source and commercial vendors, the text describes cloud-based systems for research, e-commerce, social networking and more.

About this title

Review

A distributed systems textbook for creating high-performance, scalable, and reliable cloud-based distributed systems. Named a 2012 Outstanding Academic Title by the American Library Association's Choice publication.

From the Back Cover

A distributed systems textbook for creating high-performance, scalable, and reliable cloud-based distributed systems

Distributed and Cloud Computing

From Parallel Processing to the Internet of Things

Kai Hwang, Geoffrey C. Fox, Jack Dongarra

Distributed and Cloud Computing is a comprehensive and up-to-date textbook that covers the convergence of high performance computing, distributed and cloud computing, virtualization, and grid computing. The authors integrate an awareness of application and technology trends that are shaping the future of computing. The book is an excellent resource for students as well as seasoned practitioners.

–Thomas J. Hacker, Associate Professor, Purdue University

With double-digit growth predicted in industry, today's students need to learn cloud computing to successfully enter the workforce. Distributed and Cloud Computing brings the principles of cloud computing to distributed systems courses. 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 teaches how to create high-performance, scalable, reliable systems for research, e-commerce, social networking, supercomputing, and more, with examples from open-course and commercial applications.

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 recovey
• 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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A distributed systems textbook for creating high-performance, scalable, and reliable cloud-based distributed systems

Distributed and Cloud Computing

From Parallel Processing to the Internet of Things

Kai Hwang, Geoffrey C. Fox, Jack Dongarra

Distributed and Cloud Computing is a comprehensive and up-to-date textbook that covers the convergence of high performance computing, distributed and cloud computing, virtualization, and grid computing. The authors integrate an awareness of application and technology trends that are shaping the future of computing. The book is an excellent resource for students as well as seasoned practitioners.

–Thomas J. Hacker, Associate Professor, Purdue University

With double-digit growth predicted in industry, today's students need to learn cloud computing to successfully enter the workforce.Distributed and Cloud Computing brings the principles of cloud computing to distributed systems courses. 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 teaches how to create high-performance, scalable, reliable systems for research, e-commerce, social networking, supercomputing, and more, with examples from open-course and commercial applications.

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 recovey
• 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

Edition details

• Publisher: Morgan Kaufmann
• Publication date: 2011
• ISBN 10: 0123858801
• ISBN 13: 9780123858801
• Binding: Paperback
• Language: English
• Number of pages: 672