- Paperback: 672 pages
- Publisher: Morgan Kaufmann; 1 edition (October 31, 2011)
- Language: English
- ISBN-10: 0123858801
- ISBN-13: 978-0123858801
- Product Dimensions: 7.5 x 1.5 x 9.2 inches
- Shipping Weight: 3.2 pounds (View shipping rates and policies)
- Average Customer Review: 12 customer reviews
- Amazon Best Sellers Rank: #90,764 in Books (See Top 100 in Books)
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Distributed and Cloud Computing: From Parallel Processing to the Internet of Things 1st Edition
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"Grid computing, peer-to-peer computing, cloud computing are emergent fields that have attracted academia and industry over the last few years. It is expected that they will have a huge impact on many areas in business, science and engineering and society at large. The timely publication of this textbook will bring the newest technologies in distributed computing to students." – Yi Pan, Dept of Computer Science, Georgia State University
"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
"It is very well organized in nine chapters that allow readers interested in certain subtopics such as design, theory, service-oriented architecture, and resource management to find that material cohesively collected into a chapter that serves those interests. A valuable resource for students and practitioners of distributed and cloud computing. Summing Up: Highly recommended. Upper- division undergraduates, graduate students, professionals/practitioners, and general readers."--CHOICE
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.
- 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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Top customer reviews
Six years ago this would have been a 4-star book. The topics are well organized, even if the sentence structure leaves you scratching your head a few times too many. However, the cloud computing landscape has changed rapidly, so much of what you need to understand about cloud computing today is just not there. You will learn nothing at all about devOps, containers, microservices, or stream-based big data processing (e.g., Apache Spark).
Also, a good bit of the information is now just useless. For example, much ink is spilt over Microsoft Dryad, a platform that the authors predict will become a commercial success. Between the time they submitted their manuscript and the time it got printed, however, Microsoft killed the project and threw it into open-source, where it has not had any commits for years.
This book is horrible.
The pages ripped off after two month's normal usage.
So many errors in the book even the figure numbers do not match.
Structure is not clear. Some contents are repeated in multiple chapters.
Some homework problems are jokes, I doubt the authors did not ever double check at all.
If I am mistaken and there is a reasonable way to index and search this book please tell me I will change my rating.
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