Bringing Machine Learning To Software-defined Networks - Zehua Guo
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Bringing Machine Learning To Software-defined Networks - Zehua Guo
Emerging Machine Learning Techniques Bring New Opportunities To Flexible Network Control And Management. This Book Focuses On Using State-of-the-art Machine Learning-based Approaches To Improve The Performance Of Software-defined Networking (sdn). It Will Apply Several Innovative Machine Learning Methods (e.g., Deep Reinforcement Learning, Multi-agent Reinforcement Learning, And Graph Neural Network) To Traffic Engineering And Controller Load Balancing In Software-defined Wide Area Networks, As Well As Flow Scheduling, Coflow Scheduling, And Flow Migration For Network Function Virtualization In Software-defined Data Center Networks.
- 品牌: Unbranded
- 类别: 计算机与互联网
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语言: English
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作者: Zehua Guo
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出版日期: 2022-10-06
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页数: 84
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出版社／标签: Springer Nature B.V
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格式: Paperback
- Fruugo ID: 469784078-983739004
- ISBN: 9789811948732
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