Deep Learning for Packet Forwarding with an Application for Real Time IoT

Recently, deep learning has been used in every possible field. These applications leverage its amazing power. Even if distributed computing system and networking are mainly used to provide computational infrastructure for deep learning, networking itself can benefit from this promising technology. This paper focuses on the application of deep learning to build a forwarder for Named Data Networking. This paper presents a review of existing deep learning approaches that applies to networking. It proposed an approach and an algorithm that leverage existing machine learning approaches to build a network forwarder. This paper present also an application to the proposed forwarder for Internet of Things based real time environments.