Beschreibung:
This book mainly discusses the most important issues in artificial intelligence-aided future networks, such as applying different ML approaches to investigate solutions to intelligently monitor, control and optimize networking. The authors focus on four scenarios of successfully applying machine learning in network space. It also discusses the main challenge of network traffic intelligent awareness and introduces several machine learning-based traffic awareness algorithms, such as traffic classification, anomaly traffic identification and traffic prediction. The authors introduce some ML approaches like reinforcement learning to deal with network control problem in this book.
Preface vii.- Acknowledgements ix.- Table of Contents xi.- Chapter 1 Introduction 1.- Chapter 2 Intelligence-Driven Networking Architecture 13.- Chapter 3 Intelligent Network Awareness 31.- Chapter 4 Intelligent Network Control 79.- Chapter 5 Intelligent Network Resource Management 151.- Chapter 6 Intention Based Networking Management 191.- Chapter 7 Conclusions and Future Challenges 237.- Index 241.