Intelligent Network Design Driven by Big Data Analytics, Iot, Ai and Cloud Computing - Rilegato

Rilegato

ISBN 10: 1839535334 ISBN 13: 9781839535338

Casa editrice: Inst of Engineering & Technology, 2022

Riassunto

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.

This edited book focuses on how new network analytics, IoTs and Cloud Computing platforms are being used to ingest, analyse and correlate a myriad of big data across the entire network stack in order to increase 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.

Dettagli dell?edizione

• Editore: Inst of Engineering & Technology
• Data di pubblicazione: 2022
• Lingua: Inglese
• ISBN 10: 1839535334
• ISBN 13: 9781839535338
• Rilegatura: Copertina rigida
• Numero di pagine: 350
• Redattore: Kumar Sunil, Mapp Glenford, Cengiz Korhan
• Contatto del produttore: non disponibile