Published June 30, 2022 | Version v1
Dataset Open

Solving the multi-commodity flow problem using an evolutionary routing algorithm in a computer network environment

  • 1. University Of Malta

Description

The continued increase in Internet traffic requires that routing algorithms make the best use of all available network resources. Most of the current deployed networks are not doing so due to their use of single path routing algorithms. In this work we propose the use of a multipath capable routing algorithm using Evolutionary Algorithms (EAs) that takes into account all the traffic going over the network and the link capacities by leveraging the information available at the Software Defined Networks (SDN) controller. The use of such information ensures that no link is used beyond its capacity, eliminating network congestion. We use EAs as true multi-objective solvers to provide a set of valid routing solutions from a single run of the algorithm. Modifications to the Multipath TCP (MPTCP) protocol are proposed to overcome the multipath problems associated with TCP.

Notes

This work was supported by the ENDEAVOUR Scholarships Scheme (Group B) and the European Regional Development Fund, Project ERDF-076 `Refurbishing the Signal Processing Laboratory within the Department of CCE', University of Malta.

Files

DataSet.zip

Files (2.2 GB)

Name Size Download all
md5:a9977a7de62528fdea9d1cab4dec7842
2.2 GB Preview Download