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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
Cloud Computing Engineering: Building Scalable and Secure Systems provides a comprehensive guide to designing and managing cloud-based infrastructures. Covering key principles such as virtualization, distributed computing, security, and resource optimization, the book emphasizes the importance of scalability and reliability in modern cloud systems. A major focus is on data replication techniques, exploring static, dynamic, and hybrid approaches to enhance performance and resilience. It also addresses load balancing, fault tolerance, and AI-driven cloud automation. Designed for students, researchers, and professionals, this book bridges theoretical concepts with practical applications, equipping readers to build efficient, secure, and scalable cloud solutions.
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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
Cloud Computing Engineering: Building Scalable and Secure Systems provides a comprehensive guide to designing and managing cloud-based infrastructures. Covering key principles such as virtualization, distributed computing, security, and resource optimization, the book emphasizes the importance of scalability and reliability in modern cloud systems. A major focus is on data replication techniques, exploring static, dynamic, and hybrid approaches to enhance performance and resilience. It also addresses load balancing, fault tolerance, and AI-driven cloud automation. Designed for students, researchers, and professionals, this book bridges theoretical concepts with practical applications, equipping readers to build efficient, secure, and scalable cloud solutions.