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

Published in:	IEEE open journal of the Communications Society Vol. 2; pp. 488 - 499
Main Authors:	Xu, Shenghe, Kodialam, Murali, Lakshman, T. V., Panwar, Shivendra S.
Format:	Journal Article
Language:	English
Published:	New York IEEE 2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Anomalies Communications traffic Correlation Current measurement Estimation Gallium nitride Generative adversarial networks Iterative methods machine learning Privacy Regulation Traffic capacity Traffic matrix Traffic planning
Online Access:	Get full text
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