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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.
- 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
- Sales Rank: #501085 in Books
- Brand: Hwang, Kai/ Fox, Geoffrey C./ Dongarra, Jack J.
- Published on: 2011-10-31
- Released on: 2011-10-17
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x 1.52" w x 7.50" l, 2.70 pounds
- Binding: Paperback
- 672 pages
Review
"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.
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
About the Author
Kai Hwang is a Professor of Computer Engineering, University of Southern California and an IV-endowed visiting Chair Professor, Tsinghua University, China. He earned the Ph.D. in EECS from University of California at Berkeley. An IEEE Life Fellow, He has published extensively in computer architecture, digital arithmetic, parallel processing, distributed systems, Internet security, and cloud computing. He has founded the Journal of Parallel and Distributed Computing and delivered three dozens of keynote addresses in major IEEE/ACM Conferences. He received the 2004 Outstanding Achievement Award from China Computer Federation and the IEEE 2011 IPDPS Founders' Award for his pioneering contributions in the field of parallel processing.
Jack Dongarra is a University Distinguished Professor of Electrical Engineering and Computer Science, University of Tennessee, a Distinguished Research Staff, Oak Ridge National Laboratory and a Turning Fellow at the University of Manchester. An ACM/IEEE/ SIAM/AAAS Fellow, Dongarra pioneered the areas of supercomputer benchmarks, numerical analysis, linear algebra solvers, and high-performance computing and published extensively in these areas. He leads the Linpack benchmark evaluation of the Top-500 fastest computers over the years. Based on his high contributions in the supercomputing and high-performance areas, he was elected as a Member of the National Academy of Engineering in the USA.
Geoffrey Fox is a Distinguished Professor of Informatics, Computing and Physics and Associate Dean of Graduate studies and Research in the School of Informatics and Computing, Indiana University. He has taught and led many research groups at Caltech and Syracuse University, previously. He received his Ph.D. from Cambridge University, U.K. Fox is well known for his comprehensive work and extensive publications in parallel architecture, distributed programming, grid computing, web services, and Internet applications. His book on Grid Computing (coauthored with F. Berman and Tony Hey) is widely used by the research community. He has produced over 60 Ph.D. students in physics, computer science and engineering over the years.
Most helpful customer reviews
14 of 16 people found the following review helpful.
Don't buy this book unless you are asked to do so
By A CS PhD student
I'm taking a class "Cloud Computing" and this is the required textbook.
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.
1 of 1 people found the following review helpful.
One of the Worst Books Ever Written on Any Subject, Period
By backpackstinks
Incomprehensible drivel. Authors, how can you take so little pride in your work? You should be ashamed of yourselves. No sentence flows from the one before it; no effort has been taken to impose logical structure across these chapters. A disservice to students, committed by both the authors and the teachers who assign it.
0 of 0 people found the following review helpful.
Page numbers please!
By Tony D.
While I think it's unfair to give only one star. Since the search feature is so wonderful. However, I have to complain about the lack of correlation to page numbers in the physical book. Either physical books need to adopt a new way of indexing, or digital books must use page numbers from the physical book. The Kindle indexing is entirely in-human and worthless.
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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