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Distributed and Cloud Computing: From Parallel Processing to the Internet of Things
88% of respondents would recommend this to a friend
CLP 75694
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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.
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- 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
| Publisher | Morgan Kaufmann |
| Publication date | October 31, 2011 |
| Edition | 1st |
| Language | English |
| Print length | 672 pages |
| ISBN-10 | 0123858801 |
| ISBN-13 | 978-0123858801 |
| Item Weight | 2.31 pounds (1.05 kg) |
| Dimensions | 7.5 x 1.52 x 9.25 inches (19.1 x 3.9 x 23.5 cm) |
Who Should Buy?
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Students in IT
Ideal for IT students seeking comprehensive knowledge in distributed systems and cloud computing fundamentals.
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IT Professionals
Beneficial for IT professionals wanting to expand their skills in modern cloud architectures and IoT applications.
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Researchers
Useful for researchers exploring advanced topics in cloud computing and its impact on technology and society.
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Casual Readers
Not suitable for casual readers seeking light reading or non-technical discussions on technology.
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Design & Architecture Editorial Review
**** "Distributed and Cloud Computing: From Parallel Processing to the Internet of Things" presents an ambitious overview of cloud computing, tracing its evolution and establishing foundational knowledge for readers entering the domain. While the book has been praised for its thorough exploration of cloud computing architectures and its structured content, opinions regarding its relevance and clarity have been sharply divided. On one hand, many readers appreciate the comprehensive introduction the text provides, especially in understanding core concepts like the cloud computing stack and MapReduce. Each chapter methodically delineates key topics, and there is a Consensus that the authors have a firm grasp of the cloud computing landscape as it was understood a decade ago. This historical perspective can be beneficial for learners seeking foundational knowledge. However, the rapidly evolving nature of cloud computing casts a long shadow over the book's current applicability. Critics argue that the information is outdated, missing essential contemporary topics such as DevOps, containers, microservices, and advancements in big data processing technologies like Apache Spark. Furthermore, glaring inaccuracies—such as outdated references and numerous errors—raise concerns about the book's reliability. For readers with expectations of a deep dive into specific areas like machine learning or advanced data processing, the book's breadth, which some describe as merely an outline, falls short. Several comments highlight issues concerning structure and clarity. Readers have reported repeated content across chapters, and homework problems that seem trivial or poorly Constructed, leading to frustrations with the textbook's effectiveness as a learning tool. Additionally, users mentioned serious concerns with the physical integrity of the book, citing pages tearing after minimal usage, alongside a troublesome indexing system that hampers navigation. Overall, while "Distributed and Cloud Computing" serves as a historical reference and introductory guide, its shortcomings in relevance and readability may leave some users feeling dissatisfied. It may best serve as a stepping stone rather than a comprehensive resource for those looking to keep pace with today's cloud computing trends. **
Customer Reviews & Ratings
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5 estrella
68%
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4 estrella
12%
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3 estrella
10%
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2 estrella
5%
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1 estrella
5%
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ventajas
- Comprehensive introduction to cloud computing architectures.
- Good textual organization, providing a foundational overview of concepts like MapReduce.
- Useful as a historical perspective on the evolution of cloud computing.
Contras
- Content is outdated; lacks coverage of current topics like DevOps and microservices.
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CLP 75694
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características y beneficios
- Complete coverage of modern distributed computing technology.
- Explains design principles, architecture, and innovative applications.
- Includes case studies from industry leaders like Microsoft and Google.
- Focuses on systems management through virtualization.
- Suitable for both students and professionals in the field.
- Offers exercises, further reading, and online resources.
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