The AI-Orchestrated Cloud Continuum

Cloud computing is entering a new phase in which computational resources are increasingly distributed across edge environments, multi-cloud infrastructures, and emerging quantum platforms. Managing this heterogeneous ecosystem requires AI-driven orchestration capable of dynamically coordinating resources while maintaining security, privacy, interoperability, and sustainability. Advances in areas such as intelligent workload placement, serverless computing, federated learning, blockchain-based provenance, and energy-aware scheduling are reshaping the design of modern cloud systems. At the same time, the introduction of quantum-ready services presents new architectural and operational challenges that extend beyond the capabilities of current cloud frameworks. As a result, developing a coherent and reproducible foundation for an autonomous cloud continuum has become a critical research and practical priority for the future of cloud computing. The AI-Orchestrated Cloud Continuum: From Edge Devices to Quantum Resources defines a unified vision where AI-native orchestration manages heterogeneous resources across edge devices, multi-cloud infrastructures, and emerging quantum services, while meeting goals for security, privacy, interoperability, and sustainability. It examines the technical foundations, algorithms, architectures, and real-world deployments that enable an autonomous cloud continuum. Covering topics such as blockchain technology, ethics, and smart cities, this book is an excellent resource for academicians, researchers, graduate and postgraduate students, cloud architects, DevOps engineers, platform engineers, AI/ML practitioners, data scientists, and more.