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Book synopsis

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. 

Book details

Book category Books in German Naturwissenschaften, Medizin, Informatik, Technik Informatik, EDV Informatik

• Full title: Intelligent Network Design Driven by Big Data Analytics, Iot, AI and Cloud Computing
• Author: Glenford Mapp, Korhan Cengiz
• Language: English
• Binding: Hardback
• Number of pages: 434
• EAN: 9781839535338
• ISBN: 1839535334
• ID: 39334842
• Publisher: INSTITUTION OF ENGINEERING & T
• Weight: 862 g
• Dimensions: 239 × 160 × 25 mm
• Date of publishing: 10. November 2022

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