Integrating Cloud, Fog, and Edge Computing in Healthcare: Federated Learning and Blockchain Approaches
Springer International Publishing (Verlag)
978-3-031-96264-6 (ISBN)
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This book discusses how Cloud, Fog, and Edge computing, alongside federated learning and blockchain, are revolutionizing healthcare systems by addressing the challenges of data management, privacy, and efficiency. Targeted at healthcare technology researchers, professionals, and advanced students, it explores how these technologies enhance patient care, data security, and organizational effectiveness. The book provides a detailed overview of how Cloud, Fog, and Edge computing work in healthcare, focusing on real-time data processing and secure data sharing. It covers integrating federated learning for privacy-preserving AI models, blockchain for ensuring data integrity, and the technical and regulatory challenges of implementing these systems in healthcare settings. Real-world case studies illustrate successful applications, while practical advice helps navigate common obstacles. A must-read for anyone involved in healthcare delivery, research, or policy, this book offers invaluable insights into the future of healthcare technology. It equips healthcare professionals and technologists with the knowledge to leverage these emerging tools to improve patient outcomes, safeguard electronic health records, and streamline healthcare delivery systems.
Dr. Naween Kumar is an Assistant Professor in the School of Computer Science Engineering & Technology at Bennett University, Greater Noida, India. He earned his Ph.D. in Computer Science and Engineering from the National Institute of Technology Patna-800005, India, in 2021. His research expertise spans Sensor Networks (WSN, MANET, VNET, IoT), Optimization, and Cloud Computing. Dr. Kumar has authored over 60 articles published in refereed journals and at international conferences, along with contributing chapters to various academic books. He is actively involved in advisory roles for several start-ups and provides consultancy to industry leaders such as AWS, Microsoft, and Oracle. In addition to his academic work, Dr. Kumar collaborates with renowned professors from top QS-ranked universities worldwide. He also serves as a reviewer for prestigious journals published by IEEE, Elsevier, and Springer. Dr. Kumar is a member of the Computer Science Teachers Association (CSTA) and the International Association of Engineers (IAENG).
Dr. Shailendra Pratap Singh currently serves as an Associate Professor in the Department of Computer Science and Engineering at Madan Mohan Malaviya University of Technology, Gorakhpur 273010 (U.P.), India. His areas of expertise include Engineering Education, Optimization and its Applications, Artificial Intelligence, the Internet of Things (IoT), Algorithms, and Data Science. Dr. Singh earned his Ph.D. in Computer Science and Engineering from Motilal Nehru National Institute of Technology (MNNIT), Allahabad (Prayagraj), India, in 2017. He has approximately 15 years of academic experience, having served in various esteemed engineering institutions across the country. Over the course of his career, he has authored and published more than 75 high-impact research papers in reputed journals and conferences, including those organized by Springer, Elsevier, and IEEE. Additionally, he has authored and edited more than three scholarly books. He holds Bachelor's, Master's, and Doctoral degrees from premier institutions in India. His dedication to teaching is reflected in his innovative use of design thinking principles in classroom instruction. Beyond academia, Dr. Singh contributes as a consultant in the field of Industrial IoT and serves on the advisory boards of several start-ups and professional forums. He has also delivered more than 22 invited talks at various national and international conferences and symposiums.
Dr. Prithi Samuel is currently working as an Assistant Professor in the Department of Computational Intelligence at SRM Institute of Science and Technology, Kattankulathur Campus, Chennai. She has completed her Ph.D. in Information and Communication Engineering from Anna University, Chennai. She has got over 17 years of teaching experience in reputed engineering colleges in Tamil Nadu. She is a pioneer researcher in the areas of Automata Theory, Machine Learning, Deep Learning, Computational Intelligence Techniques, and the Internet of Things. She has published papers in leading International Journals and International Conferences and published books and book chapters in Wiley, Taylor and Francis, Springer and Elsevier. She is an active IEEE, ACM Member and holds an ISTE and IAENG lifetime membership.
Dr. Balamurugan Balusamy is currently working as an Associate Dean Student in Shiv Nadar University, Delhi-NCR. Prior to this assignment he was Professor, School of Computing Sciences & Engineering and Director International Relations at Galgotias University, Greater Noida, India. His contributions focus on Engineering Education, Block chain and Data Sciences. His Academic degrees and twelve years of experience working as a faculty in a global University like VIT University, Vellore has made him more receptive and prominent in his domain. He does have 200 plus high impact factor papers in Springer, Elsevier, and IEEE. He has done more than 80 Edited and aut
Chapter 1: Introduction to Cloud, Fog, and Edge Computing in Healthcare.- Chapter 2: Addressing the Challenges in Federating Edge Resources.- Chapter 3: Integrating IoT + Fog + Cloud Infrastructures: System Modelling and Research Challenges.- Chapter 4: Blockchain and Federated Learning for the Management and Orchestration of Network Slices in 5G, Fog, Edge, and Clouds.- Chapter 5: Health Optimization Problems in Fog and Edge Computing with Machine Learning.- Chapter 6: A Lightweight AI-Enabled Container Middleware for Edge Cloud Architectures.- Chapter 7: Health Data Management in Fog Computing using Machine Learning.- Chapter 8: Predictive Analysis in Healthcare to Support Fog Application Deployment.- Chapter 9: Using Machine Learning for Protecting the Security and Privacy of Internet of Medical Things (IoMT) Systems.- Chapter 10: Fog Computing Realization for Healthcare-Based Big Data Analytics with Machine Learning.- Chapter 11: Exploiting Fog Computing and Federated Learning in Health Monitoring.- Chapter 12: Smart Surveillance Video Stream Processing at the Edge for Real-Time Patient Activity Tracking with Machine Learning.- Chapter 13: Fog Computing Model for Evolving Smart Healthcare Applications.- Chapter 14: Testing Perspectives of Fog-Based IoMT Applications with Federated Learning.- Chapter 15: Legal Aspects of Operating IoMT Applications in the Fog Computing.
| Erscheinungsdatum | 20.07.2025 |
|---|---|
| Reihe/Serie | Advances in Science, Technology & Innovation |
| Zusatzinfo | VI, 247 p. 71 illus., 66 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 210 x 279 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Netzwerke |
| Mathematik / Informatik ► Informatik ► Theorie / Studium | |
| Medizin / Pharmazie ► Pflege | |
| Schlagworte | 5G • AI-enabled Middleware • Blockchain • Cloud Computing • Container Middleware • edge cloud • edge computing • Federated Edge Resources • federated learning • Fog Computing • Healthcare • Health Data Management • Health Optimization • IoT Integration • machine learning • network slicing • Orchestration • Predictive Analysis • research challenges • System Modelling |
| ISBN-10 | 3-031-96264-8 / 3031962648 |
| ISBN-13 | 978-3-031-96264-6 / 9783031962646 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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