AI-Based Cloud Data Storage and Intelligent Communication Systems is a comprehensive guide exploring the integration of Artificial Intelligence, Cloud Computing, Big Data, and Network Communication Technologies. This book presents a deep dive into modern cloud storage architectures, AI-driven optimization algorithms, performance monitoring systems, and intelligent data communication frameworks.

It covers advanced topics such as AI-Based Cloud Data Storage Technology, Big Data Observation Systems, and Cloud Storage Algorithm Development, offering insights into how artificial intelligence enhances scalability, efficiency, security, and performance in large-scale data environments. The book also introduces methods for cloud storage performance evaluation and data observation processes, making it valuable for both academic research and real-world applications.

A major highlight of this book is its structured explanation of AI-powered communication layers, including the Physical Layer, Data Link Layer, Network Layer, Transport Layer, and User Support Layers (Session, Presentation, Application). These chapters explain how AI improves network reliability, routing, congestion control, and intelligent data transmission.

Designed for engineering students, AI researchers, cloud professionals, and technology enthusiasts, this book bridges theory with practical implementation, making it an essential resource for understanding next-generation cloud and intelligent networking systems.