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Two Use Cases of Machine Learning for SDN-Enabled IP/Optical Networks:
  Traffic Matrix Prediction and Optical Path Performance Prediction
v1v2 (latest)

Two Use Cases of Machine Learning for SDN-Enabled IP/Optical Networks: Traffic Matrix Prediction and Optical Path Performance Prediction

20 April 2018
G. Choudhury
David F. Lynch
Gaurav Thakur
Simon Tse
ArXiv (abs)PDFHTML

Papers citing "Two Use Cases of Machine Learning for SDN-Enabled IP/Optical Networks: Traffic Matrix Prediction and Optical Path Performance Prediction"

3 / 3 papers shown
Title
Deep Reinforcement Learning meets Graph Neural Networks: exploring a
  routing optimization use case
Deep Reinforcement Learning meets Graph Neural Networks: exploring a routing optimization use case
Paul Almasan
J. Suárez-Varela
Krzysztof Rusek
Pere Barlet-Ros
A. Cabellos-Aparicio
GNNAI4CE
121
190
0
16 Oct 2019
An Overview on Application of Machine Learning Techniques in Optical
  Networks
An Overview on Application of Machine Learning Techniques in Optical Networks
F. Musumeci
C. Rottondi
A. Nag
I. Macaluso
D. Zibar
Marco Ruffini
M. Tornatore
100
468
0
21 Mar 2018
Artificial Intelligence Enabled Software Defined Networking: A
  Comprehensive Overview
Artificial Intelligence Enabled Software Defined Networking: A Comprehensive Overview
Majd Latah
Levent Toker
AI4CE
52
101
0
19 Mar 2018
1