| 书目名称 | Developing Networks using Artificial Intelligence | | 编辑 | Haipeng Yao,Chunxiao Jiang,Yi Qian | | 视频video | | | 丛书名称 | Wireless Networks | | 图书封面 |  | | 描述 | .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... Traditional works on the control plane largely rely on a manual process in configuring forwarding, which cannot be employed for today‘s network conditions. To address this issue, several artificial intelligence approaches for self-learning control strategies are introduced. 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 appr | | 出版日期 | Book 2019 | | 关键词 | machine learning; software-defined network; reinforcement learning; deep learning; intrusion detection; l | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-15028-0 | | isbn_ebook | 978-3-030-15028-0Series ISSN 2366-1186 Series E-ISSN 2366-1445 | | issn_series | 2366-1186 | | copyright | Springer Nature Switzerland AG 2019 |
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发表于 2025-3-21 17:26:06
