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Книга Bringing Machine Learning to Software-Defined Networks Zehua Guo

Bringing Machine Learning to Software-Defined Networks

Автор: Zehua Guo
Език: Английски език
Корици: С меки корици
Издател: Springer, Berlin
Наличност: Външен склад
Изпращаме след 5-8 дни
52.63 € 102.94 лв
Emerging machine learning techniques bring new opportunities to flexible network control and managem...

Информация за книгата

Автор
Zehua Guo
Език
Английски език
Корици
Книга - С меки корици
Издадена
2022
страници
68
EAN
9789811948732
Enbook ID
39341639
Издател
Springer, Berlin
Теглоt
131
Размери
155 x 235 x 6

Пълно описание

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. It helps readers reflect on several practical problems of deploying SDN and learn how to solve the problems by taking advantage of existing machine learning techniques. The book elaborates on the formulation of each problem, explains design details for each scheme, and provides solutions by running mathematical optimization processes, conducting simulated experiments, and analyzing the experimental results.

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