Store besparelser
Hurtig levering
Gemte
Log ind
0
Kurv
Bøger
Bestsellers
Kommer snart
Nyheder
Spil og hobby
Hjem
Kategorier
Bestsellers
Kommer snart
Nyheder
FAQ
Konto
Kontakt
Kurv
  1. Bog
  2. Kunstig intelligens
  3. Machine learning

Bringing Machine Learning to Software-Defined Networks

Af: Zehua Guo Engelsk Paperback

Bringing Machine Learning to Software-Defined Networks

Af: Zehua Guo Engelsk Paperback
Tjek vores konkurrenters priser
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.
Vis mere
Tjek vores konkurrenters priser
Normalpris
kr 478
Fragt: 39 kr
6 - 8 hverdage
20 kr
Pakkegebyr
God 4 anmeldelser på
Tjek vores konkurrenters priser
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.
Vis mere
Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 68
ISBN-13: 9789811948732
Indbinding: Paperback
Udgave:
ISBN-10: 9811948739
Kategori: Machine learning
Udg. Dato: 6 okt 2022
Længde: 0mm
Bredde: 155mm
Højde: 235mm
Forlag: Springer Verlag, Singapore
Oplagsdato: 6 okt 2022
Forfatter(e): Zehua Guo
Forfatter(e) Zehua Guo

Kategori Machine learning

ISBN-13 9789811948732

Sprog Engelsk

Indbinding Paperback

Sider 68

Udgave

Længde 0mm

Bredde 155mm

Højde 235mm

Udg. Dato 6 okt 2022

Oplagsdato 6 okt 2022

Forlag Springer Verlag, Singapore

Kategori sammenhænge