NeuRoute: Predictive Dynamic Routing for Software-Defined Networks

September 18, 2017 Β· Declared Dead Β· πŸ› Conference on Network and Service Management

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Authors Abdelhadi Azzouni, Raouf Boutaba, Guy Pujolle arXiv ID 1709.06002 Category cs.NI: Networking & Internet Citations 81 Venue Conference on Network and Service Management Last Checked 5 months ago
Abstract
This paper introduces NeuRoute, a dynamic routing framework for Software Defined Networks (SDN) entirely based on machine learning, specifically, Neural Networks. Current SDN/OpenFlow controllers use a default routing based on Dijkstra algorithm for shortest paths, and provide APIs to develop custom routing applications. NeuRoute is a controller-agnostic dynamic routing framework that (i) predicts traffic matrix in real time, (ii) uses a neural network to learn traffic characteristics and (iii) generates forwarding rules accordingly to optimize the network throughput. NeuRoute achieves the same results as the most efficient dynamic routing heuristic but in much less execution time.
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