Название: Advances in AI for Cloud, Edge, and Mobile Computing Applications Автор: Shrikaant Kulkarni, P. William Издательство: CRC Press Год: 2026 Страниц: 364 Язык: английский Формат: epub (true) Размер: 12.2 MB
This new book presents some exciting advances in AI applications, highlighting trends and innovations in edge, cloud, and mobile computing and how they can be integrated with advanced AI for enhancing services, privacy, and security. It explores algorithms, architectures, reliable AI-powered IoTs, and other aspects in networking and applications in diverse frontier areas. These state-of-the-art technologies have a comparative advantage in terms of very low latency, fast response time, low bandwidth cost, and improved resilience.
First focusing on advanced cloud AI services, the authors look at a power trading framework of cloud-edge computing in an AI bazaar, the use of anomaly detection in AI in a cloud-fuzzy environment, holistic resource management based on AI and sustainable cloud computing, the application of AI for enhanced privacy and security in smart environments, AI in wireless sensor networks, and more. The volume also presents advances in state-of-the-art edge AI services, along with problems that may be confronted during the application and execution of computing services. The chapters discuss AI applications together with cloud, edge, and mobile computing that serve the areas of e-commerce and commercial banking, while making use of AI for sustainable human resource management and natural resource management.
The book is partitioned into three parts. Part I is devoted to Advanced Cloud AI services. Part II is dedicated to Advanced Edge AI services and the problems confronted during the application and execution of computing services. Part III deals with Cloud AI, Edge AI, and Mobile AI Computing Applications. Part I contains five chapters. Chapter 1 dwells upon the provision of a power trading framework of cloud-edge computing in an artificial intelligence bazaar. Chapter 2 delves into anomaly detection using artificial intelligence in a cloud-fuzzy environment. Chapter 3 sheds light on how holistic resource management based on AI and sustainable cloud computing is done. Chapter 4 deliberates on the application of Artificial Intelligence for the enhancement of privacy and security in a smart environment. Chapter 5 is aimed at discussing the application of Artificial Intelligence in Wireless Sensor Networks through Quality of Services enhancement.
Part II of the book has five chapters. Chapter 6 deals with recent advancements of Artificial Intelligence in Edge Computing. Chapter 7 foresees future innovations in using Edge Computing Infrastructure for IoT applications. Chapter 8 aims to understand the growth of Edge Computing with Artificial Intelligence. Chapter 9 gives a perspective on the role of Machine Learning in the convergence of Artificial Intelligence and Edge Computing. Chapter 10 explains the applications, enabling technologies, and vision of Edge Artificial Intelligence for 6G. Part III is embodied with five topics. Chapter 11 discusses how AI products serve the areas of E-Commerce and the commercial banking sector. Chapter 12 deliberates on how sustainable human resources are managed by using artificial intelligence. Chapter 13 discusses the achievement of sustainable development goals by integrating natural resource management and AI. Chapter 14 deliberates on the use of business models in tandem with AI for the cause of sustainable development. Chapter 15 deals with different requirements for Quality of Service using an Adaptive Network Algorithm.
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