Computing Continuum: A Quantitative Guide introduces the principles and methods for designing, measuring, and managing distributed services across devices, edge, fog, and cloud infrastructures. It covers the data lifecycle, end-to-end performance, service-level objectives, orchestration, equilibrium, resilience, fragmentation, and security, explaining how these topics shape resource allocation and service quality under changing conditions. The book combines accessible explanations with mathematical models, algorithms, worked numerical examples, and practical scenarios. A familiar kitchen analogy introduces coordination across heterogeneous resources, while a recurring industrial quality-inspection application connects concepts to technical decisions. Review questions and numerical and design exercises help readers examine assumptions, evaluate trade-offs, and apply the methods. Intended for senior undergraduate and postgraduate students, researchers, and practitioners, the book provides a structured path from foundational concepts to advanced methods for building and assessing adaptive, resilient, and secure computing continuum services.
