Who is the target audience for this book?

The target audience includes students, researchers, and professionals in computer science and engineering fields. It caters to those looking to deepen their understanding of distributed systems and cloud computing. The book’s content is designed for both beginners and advanced users, offering foundational principles, as well as in-depth discussions suitable for experienced practitioners looking to enhance their knowledge. Common use cases involve academic coursework, research projects, or developing cloud-based solutions in a professional environment.

What topics are covered in this edition?

This edition encompasses various significant topics, including cloud computing architectures, parallel processing methodologies, distributed ledger technology, and the integration of IoT. Each chapter delves into theoretical concepts while providing practical examples to illustrate real-world applications. Readers can explore subjects such as load balancing, fault tolerance, and security protocols, which are crucial for the effective implementation of cloud services. These insights are particularly beneficial for implementing innovative solutions in industry settings or academic research.

How does the book address the challenges in distributed and cloud computing?

The book effectively addresses challenges such as scalability, latency, and security inherent in distributed and cloud computing. It provides case studies and theoretical solutions to overcome these hurdles, emphasizing the importance of design considerations in system architecture. By analyzing real-life implementations and theoretical frameworks, readers gain insight into best practices for ensuring robust, secure, and efficient cloud services. This aids professionals in identifying potential pitfalls and solutions when designing their distributed applications.

Are there any practical exercises or case studies included?

Yes, this book includes practical exercises and case studies that encourage hands-on learning. These real-world scenarios help readers apply theoretical knowledge to practical problems, enhancing their understanding of distributed and cloud computing environments. For instance, readers may work through configurations for cloud services or optimize parallel processing tasks. This experiential approach is particularly useful for students or professionals looking to implement the concepts in actual projects.

What prerequisites should I have before reading this book?

While the book is accessible to a broad audience, a foundational understanding of computer science concepts, programming, and basic networking is beneficial. Familiarity with programming languages such as Python or Java will enhance comprehension of the examples provided. Readers may also find it helpful to understand operating systems and data structures. These prerequisites make it easier to grasp advanced topics such as distributed algorithms and cloud architecture, facilitating a smoother learning experience.

How is the book structured in terms of content layout?

The book is structured into clear sections that progressively build on the concepts of distributed and cloud computing. Each chapter focuses on a specific theme, starting from foundational knowledge and moving toward complex topics. Sections typically include theoretical explanations, practical examples, and relevant case studies to solidify understanding. This structured approach allows readers to navigate through the material effectively, whether they are reviewing for academic purposes or looking to apply concepts in a business context.

What are some key technologies discussed in the context of cloud computing?

Key technologies discussed include virtualization, containerization, big data analytics, and distributed databases. The book explores how these technologies enable the scalability and efficiency of cloud services. Readers will gain insights into tools such as Docker and Kubernetes, which facilitate the deployment of distributed applications. Understanding these technologies is crucial for anyone looking to leverage cloud platforms for various applications, including data processing, application hosting, and resource management.

Can this book help me prepare for a career in cloud computing?

Absolutely, this book serves as a valuable resource for anyone aspiring to build a career in cloud computing. It provides foundational knowledge necessary to understand distributed systems and cloud architectures, which are critical for many tech roles. Additionally, it covers emerging trends and best practices, giving readers a competitive advantage in the job market. Practical applications highlighted in the book prepare readers for real-life challenges faced in cloud-based environments, making it an excellent option for career development.

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

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.

Numéro d'article: 2257458

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

Q: What is the primary focus of the book 'Distributed and Cloud Computing: From Parallel Processing to the Internet of Things'?

The book primarily focuses on the principles, architectures, and technologies that define distributed and cloud computing. It explores how these systems enable efficient data processing, data storage, and application scalability. Readers will discover a comprehensive overview of parallel processing concepts and how they integrate with modern IoT frameworks, facilitating data sharing and resource management. Practical scenarios include deploying cloud applications, optimizing resource allocation in distributed systems, and enabling real-time data analytics in IoT environments.

Q: Where can I buy 'Distributed and Cloud Computing: From Parallel Processing to the Internet of Things' in Canada?

You can purchase 'Distributed and Cloud Computing: From Parallel Processing to the Internet of Things' in Canada through Ubuy. Ubuy offers a convenient platform for a wide range of books, including this title, ensuring easy accessibility for readers interested in expanding their knowledge in distributed and cloud computing. Simply visit their website, search for the book, and follow the straightforward purchasing process.

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Ce qui se démarque

Comprehensive Coverage

This title provides an extensive exploration of distributed computing topics, covering everything from parallel processing techniques to IoT applications, making it suitable for both beginners and advanced users.

Practical Examples

Includes real-world case studies and practical examples that help readers understand complex concepts, enhancing their ability to apply knowledge effectively in various computing situations.

Current Trends

Focuses on contemporary trends in technology, ensuring readers are informed about the latest advancements in distributed and cloud computing, positioning them at the forefront of industry developments.

Détails du produit

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)

À qui est-ce destiné ?

Students in IT
Ideal for IT students seeking comprehensive knowledge in distributed systems and cloud computing fundamentals.
IT Professionals
Beneficial for IT professionals wanting to expand their skills in modern cloud architectures and IoT applications.
Researchers
Useful for researchers exploring advanced topics in cloud computing and its impact on technology and society.

Casual Readers
Not suitable for casual readers seeking light reading or non-technical discussions on technology.

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question: Distributed and Cloud Computing: From Parallel est-il disponible pour effectuer des achats en ligne à Canada ?

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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. **

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Avantages

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.

Les inconvénients

Content is outdated; lacks coverage of current topics like DevOps and microservices.

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Caractéristiques et avantages

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

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