Traffic Measurement Optimization Based on Reinforcement Learning in Large-Scale ITS-Oriented Backbone Networks

Traffic Measurement Optimization Based on Reinforcement Learning in Large-Scale ITS-Oriented Backbone Networks

The end-to-end network traffic information is the basis of network management for a large-scale intelligent transportation systems-oriented backbone network. To obtain exact network traffic data, a prevalent idea is to deploy NetFlow or sFlow on all routers of the network. However, this method not o...

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Bibliographic Details
Main Authors: Laisen Nie, Huizhi Wang, Xin Jiang, Yi Guo, Shengtao Li
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Network measurement
reinforcement learning
intelligent transportation systems
IP~backbone network
Online Access:https://ieeexplore.ieee.org/document/9004568/

Internet

https://ieeexplore.ieee.org/document/9004568/

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