Learning Based Methods for Traffic Matrix Estimation From Link Measurements

Learning Based Methods for Traffic Matrix Estimation From Link Measurements

Network traffic matrix (TM) is a critical input for capacity planning, anomaly detection and many other network management related tasks. The TMs are often computed from link load measurements. The TM estimation problem is the determination of the TM from link load measurements. The relationship bet...

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Bibliographic Details
Main Authors: Shenghe Xu, Murali Kodialam, T. V. Lakshman, Shivendra S. Panwar
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Open Journal of the Communications Society
Subjects:
Traffic matrix
estimation
machine learning
generative adversarial networks
Online Access:https://ieeexplore.ieee.org/document/9369309/

Internet

https://ieeexplore.ieee.org/document/9369309/

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