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portada Virtual Machines: Design Principles and System Architecture
Type
Physical Book
Language
English
Pages
212
Format
Paperback
ISBN13
9798193534068

Virtual Machines: Design Principles and System Architecture

William M Jackson (Author) · Independently Published · Paperback

Virtual Machines: Design Principles and System Architecture - William M Jackson

New Book Imported to Netherlands
Delivery: 16 Oct - 20 Oct Shipping: 5 to 6 business days.
€ 41,51
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€ 41,51

Synopsis "Virtual Machines: Design Principles and System Architecture"

"Virtual Machines: Design Principles and System Architecture" provides a comprehensive exploration of the concepts, mechanisms, and engineering choices that underpin virtual machine technology. Beginning with the historical evolution of virtualization from early mainframe environments to today's cloud-scale infrastructures, the book introduces the essential principles, terminology, and categories of virtual machines. It explains how virtualization enables efficient resource sharing, workload isolation, portability, and consolidation, establishing a clear foundation for understanding both classic virtual machine models and modern virtualized systems.The book then examines the architectural layers that make virtualization possible, with detailed coverage of hypervisors, hardware abstraction, and the techniques used to virtualize CPU, memory, storage, and networking resources. It discusses key implementation strategies such as full virtualization, paravirtualization, and nested virtualization, while also addressing performance optimization, live migration, scheduling, and resource management. Throughout, the text connects theory with practice, showing how design decisions affect efficiency, scalability, and system behavior in real-world deployments.In its later sections, the book turns to advanced topics and emerging directions in virtualization, including security isolation, trusted execution environments, microVMs, unikernels, confidential computing, and virtualized edge and serverless platforms. It also explores the challenges of operating virtual infrastructures at scale, from orchestration and observability to self-optimizing systems supported by AI and machine learning. Designed for practitioners, researchers, and advanced students, this book offers both a rigorous technical foundation and a forward-looking perspective on the future of virtual machine architecture.

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The book is written in English.
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