M. K. Kavitha Devi – författare

How are cloud computing, fog computing, edge computing, and artificial intelligence (AI) working together to create intelligent mobile and IoT ecosystems? The fundamental concepts and practical uses of these technologies, showing their transformative effects across different industries, are covered in Intelligent Mobile and IoT Ecosystems. The book starts with an overview of the core principles of cloud, fog, and edge computing, along with AI, giving a clear understanding of their roles in today's digital world. It explains how these technologies collaborate to improve real-time data processing, security, and user experiences in mobile and IoT settings. Theoretical foundations and practical applications of intelligent mobile and IoT systems, focusing on the interaction among cloud, fog, and edge computing and AI Detailed case studies and applications showing successful implementations across different industries Insights into how deep learning models are adapted and applied for IoT environments to improve system intelligence and efficiency A dedicated focus on mobile edge intelligence and its role in enabling smart decision-making at the network's edge Addressing key aspects of security, including secure communication protocols and privacy-preserving methods With a strong emphasis on real-world applications and case studies, this book is intended for researchers, engineers, and practitioners who have a comprehensive understanding of integrating cloud, fog, edge, and AI technologies within mobile and IoT ecosystems.

How are cloud computing, fog computing, edge computing, and artificial intelligence (AI) working together to create intelligent mobile and IoT ecosystems? The fundamental concepts and practical uses of these technologies, showing their transformative effects across different industries, are covered in Intelligent Mobile and IoT Ecosystems. The book starts with an overview of the core principles of cloud, fog, and edge computing, along with AI, giving a clear understanding of their roles in today's digital world. It explains how these technologies collaborate to improve real-time data processing, security, and user experiences in mobile and IoT settings. Theoretical foundations and practical applications of intelligent mobile and IoT systems, focusing on the interaction among cloud, fog, and edge computing and AI Detailed case studies and applications showing successful implementations across different industries Insights into how deep learning models are adapted and applied for IoT environments to improve system intelligence and efficiency A dedicated focus on mobile edge intelligence and its role in enabling smart decision-making at the network's edge Addressing key aspects of security, including secure communication protocols and privacy-preserving methods With a strong emphasis on real-world applications and case studies, this book is intended for researchers, engineers, and practitioners who have a comprehensive understanding of integrating cloud, fog, edge, and AI technologies within mobile and IoT ecosystems.