Predictive mobility and cost-aware flow placement in SDN-based IoT networks: a Q-learning approach

Predictive mobility and cost-aware flow placement in SDN-based IoT networks: a Q-learning approach

Abstract Software-Defined Networking (SDN) has emerged as an innovative networking method that offers effective management and remarkable flexibility. However, current SDN-based solutions primarily focus on static networks or concentrate on backbone networks, where network dynamics have minimal impa...

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Bibliographic Details
Main Authors: Gan Huang, Ihsan Ullah, Hanyao Huang, Kyung Tae Kim
Format: Article
Language:English
Published: SpringerOpen 2024-01-01
Series:Journal of Cloud Computing: Advances, Systems and Applications
Subjects:
SDN
OpenFlow
Flow rule placement
Q-learning
Mobility
Matching probability
Online Access:https://doi.org/10.1186/s13677-024-00589-w

Internet

https://doi.org/10.1186/s13677-024-00589-w

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