Kumar S., Mapp G., Cengiz K. Intelligent Network Design Driven by Big Data Analytics, IoT, AI and Cloud Computing

The Institution of Engineering and Technology, 2022. — 427 p.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 manages networks, storage, and can compute.This edited book focuses on how new network analytics, IoT, and Cloud Computing platforms are being used to ingest, analyze and correlate a myriad of big data across the entire network stack to increase the quality of service and quality of experience (QoS/QoE) and to improve network performance. From big data and AI analytical techniques for handling the huge amount of data generated by IoT devices, the authors cover cloud storage optimization, the design of next-generation access protocols and internet architecture, fault tolerance, and reliability in intelligent networks, and discuss a range of emerging applications.This book will be useful to researchers, scientists, engineers, professionals, advanced students, and faculty members in ICTs, data science, networking, AI, machine learning, and sensing. It will also be of interest to professionals in data science, AI, cloud, and IoT start-up companies, as well as developers and designers.