DeepMDR: A Deep-Learning-Assisted Control Plane System for Scalable, Protocol-Independent, and Multi-Domain Network Automation
IEEE Communications Magazine(2021)
Abstract
This article discusses DeepMDR, which is a deep learning (DL)-assisted control plane (CP) system to realize scalable and protocol-independent path computation in multi-domain packet networks. We develop DeepMDR based on ONOS, make it support protocol-oblivious forwarding (POF) in the data plane, facilitate a hierarchical CP architecture for multi-domain operations, and propose a DL model to achiev...
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Key words
Optical fibers, Deep learning, Automation, Simulation, Computational modeling, Computer architecture, Routing, Data models
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