In this article, we propose an automatic resource discovery system in a Wide Area Network (WAN). The proposed platform, developed in NodeJs and using ZeroConf, allows to dynamically discover all resources available in the local networks of the partner universities. Each resource is represented by an identifier including its hostname, port and IP address in the remote local network. Thanks to a VPN client, the student can connect to the remote network where the resource is discovered. Then, he has the ability to take control of any resource connected through the noVNC tool. This solution contributes to improving the mutualisation of resources through e-learning training.
CITATION STYLE
Boko, U. H. S., Ly, O. R., Ouya, S., & Mendy, G. (2020). Automatic Discovery of Shared Resources in Extended Networks and Their Applications in E-learning. In Advances in Intelligent Systems and Computing (Vol. 1135 AISC, pp. 69–76). Springer. https://doi.org/10.1007/978-3-030-40271-6_8
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