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DOI: 10.14569/IJACSA.2020.0111228
PDF

A New Traffic Distribution Routing Algorithm for Low Level VPNs

Author 1: Abdelwahed Berguiga
Author 2: Ahlem Harchay
Author 3: Ayman Massaoudi
Author 4: Radhia Khdhir

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 11 Issue 12, 2020.

  • Abstract and Keywords
  • How to Cite this Article
  • {} BibTeX Source

Abstract: Virtual Private Networks (VPN) constitute a particular class of shared networks. In such networks, the resources are shared among several customers. The management of these resources requires a high level of automation to obtain the dynamics necessary for the well-functioning of a VPN. In this paper, we consider the problem of a network operator who owns the physical infrastructure and who wishes to deliver VPN service to his customers. These customers may be Internet Service providers, large corporations and enterprises. We propose a new routing approach referred to as Traffic Split Routing (TSR) which splits the traffic as fairly as possible between the network links. We show that TSR outperforms Shortest Path Routing (SPR) in terms of the number of admitted VPN and in terms of Quality of Service.

Keywords: Virtual Private Networks (VPN); Quality of Service (QoS); NS-2; Simulations; Shortest Path Routing (SPR); Traffic Split Routing (TSR); Routing algorithm

Abdelwahed Berguiga, Ahlem Harchay, Ayman Massaoudi and Radhia Khdhir, “A New Traffic Distribution Routing Algorithm for Low Level VPNs” International Journal of Advanced Computer Science and Applications(IJACSA), 11(12), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0111228

@article{Berguiga2020,
title = {A New Traffic Distribution Routing Algorithm for Low Level VPNs},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0111228},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0111228},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {12},
author = {Abdelwahed Berguiga and Ahlem Harchay and Ayman Massaoudi and Radhia Khdhir}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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