As enterprise access networks evolve with a larger number of mobile users, a wide range of devices and new cloud-based applications, managing user performance on an end-to-end basis has become rather challenging. Recent advances in big data network analytics combined with AI and cloud computing are being leveraged to tackle this growing problem. AI is becoming further integrated with software that manage networks, storage, and can compute.

• Chapter 1: Introduction to intelligent network design driven by big data analytics, IoT, AI and cloud computing
• Chapter 2: Role of automation, Big Data, AI, ML IBN, and cloud computing in intelligent networks
• Chapter 3: An intelligent verification management approach for efficient VLSI computing system
• Chapter 4: Evaluation of machine learning algorithms on academic big dataset by using feature selection techniques
• Chapter 5: Accurate management and progression of Big Data Analysis
• Chapter 6: Cram on data recovery and backup cloud computing techniques
• Chapter 7: An adaptive software-defined networking (SDN) for load balancing in cloud computing
• Chapter 8: Emerging security challenges in cloud computing: an insight
• Chapter 9: Factors responsible and phases of speaker recognition system
• Chapter 10: IoT-based water quality assessment using fuzzy logic controller
• Chapter 11: Design and analysis of wireless sensor network for intelligent transportation and industry automation
• Chapter 12: A review of edge computing in healthcare Internet of things: theories, practices and challenges
• Chapter 13: Image Processing for medical images on the basis of intelligence and biocomputing
• Chapter 14: IoT-based architecture for smart health-care systems
• Chapter 15: IoT-based heart disease prediction system
• Chapter 16: DIAIF: Detection of Interest Flooding using Artificial Intelligence-based Framework in NDN android
• Chapter 17: Intelligent and cost-effective mechanism for monitoring road quality using machine learning
• Chapter 18: Conclusion