|Book Name:||Developing Networks using Artificial Intelligence|
Free PDF Download Developing Networks using Artificial Intelligence
This book mainly discusses the most critical issues in artificial intelligence-aided future networks, such as applying different ML approaches to investigate solutions to monitor, control intelligently, and optimize networking. The authors focus on four successful scenarios of machine learning in network space. It also discusses the main challenge of network traffic intelligence awareness and introduces several machine learning-based traffic awareness algorithms, such as traffic classification, anomaly traffic identification, and traffic prediction. In this book, the authors present some ML approaches, like reinforcement learning to deal with network control problems. Traditional works on the control plane primarily rely on a manual process in configuring forwarding, which cannot be employed for today`s network conditions. Several artificial intelligence approaches for self-learning control strategies are introduced to address this issue. In addition, resource management problems are ubiquitous in the networking field, such as job scheduling, bitrate adaptation in video streaming, and virtual machine placement in cloud computing. Compared with the traditional with-box approach, the authors present some ML methods to solve the complexity network resource allocation problems. Finally, the semantic comprehension function is introduced to the network to understand the high-level business intent in this book. With Software-Defined Networking (SDN), Network Function Virtualization (NFV), and 5th Generation Wireless Systems (5G) development, the global network is undergoing profound restructuring and transformation. However, the improvement of the flexibility and scalability of the networks, as well as the ever-increasing complexity of networks, makes effective monitoring, overall control, and optimization of the network extremely difficult. Recently, adding intelligence to the control plane through AI&ML has become a trend and a direction of network development. This book`s expected audience includes professors, researchers, scientists, practitioners, engineers, industry managers, and government research workers who work in the fields of intelligent networks. Advanced-level computer science and electrical engineering students will also find this book useful as a secondary textbook.
Developing Networks using Artificial Intelligence PDF
Author(s): Haipeng Yao, Chunxiao Jiang, Yi Qian
Publisher: Springer, Year: 2019
ISBN: 3030150275, 9783030150273