Publication No 40737

Author(s)

Enderle, T.*

Title

Finding Transport Network Configurations Using Supervised Machine Learning

Topics

Broadband Networks; Network Management

Methods

Traffic Engineering; Performance Evaluation

Keywords

COMPUTER NETWORK; BANDWIDTH ALLOCATION; TRANSPORT NETWORKS; NETWORK OPTIMIZATION; WDM; NETWORK PLANNING; TRAFFIC ENGINEERING

Abstract

We propose a machine learning-based approach using a random forest for the fast computation of optimized transport network routing configurations. An evaluation in a 7-node network shows that our approach achieves competitive results in terms of solution quality and computation time compared to an exact ILP solution.

Year

2019

Reference entry

Enderle, T.
Finding Transport Network Configurations Using Supervised Machine Learning
Proceedings of the 45th European Conference on Optical Communication (ECOC 2019), Dublin, September 2019, pp. 1-4

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