Synopsis
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.
About the Authors
Ruchi Doshi is having more than 18 years of academic, research and software development experience in Asia and Africa. Currently she is working as research supervisor at the Azteca University, Mexico and Adjunct Professor at the Jyoti Vidyapeeth Women's University, Jaipur, Rajasthan, India. She worked in the BlueCrest University College, Liberia, West Africa as Registrar and Head, Examination; BlueCrest University College, Ghana, Africa; Amity University, Rajasthan, India; Trimax IT Infrastructure & Services, Udaipur, India. She worked as a Founder Chair, Women in Engineering (WIE) and Secretary Position in the IEEE Liberia Subsection. She worked with Ministry of Higher Education (MoHE) in Liberia and Ghana for the Degree approvals and accreditations processes. She is interested in the field of Machine Learning and Cloud computing framework development. She has published numerous research papers in peer-reviewed international journals and conferences. She is a Reviewer, Advisor, Ambassador and Editorial board member of various reputed International Journals and Conferences.
Dr. Albert Gyamfi is a business analytics scholar and educator with an extensive academic and industry background in data science, machine learning, knowledge management systems, and database technologies. With a unique blend of experience in higher education and public sector analytics, Dr. Gyamfi has made substantial contributions to research and teaching at the intersection of business analytics, data science, and applied computing. His academic credentials include a PhD in Management Information Systems from Aalborg University in Denmark, an MSc in Computer Science from the University of Regina, and an MBA in Management Information Systems from the University of Ghana. Currently, Dr. Gyamfi serves as an Assistant Lecturer in the Department of Computing Science at the University of Alberta, where he teaches undergraduate courses in data science and database management. His teaching philosophy emphasizes experiential learning, interdisciplinary integration, and accessibility, with a strong commitment to preparing students for real-world applications of analytics and AI.
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