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Solving the multicommodity flow problem using an evolutionary routing algorithm in a computer network environment.

Noel Farrugia1, Johann A Briffa1, Victor Buttigieg1

  • 1Department of Communications and Computer Engineering, University of Malta, Msida, Malta.

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This study introduces a multipath routing algorithm using Evolutionary Algorithms (EAs) and modified Multipath TCP (MPTCP) to enhance network efficiency. The new approach significantly boosts network goodput and reduces data transmission delays.

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Area of Science:

  • Computer Science
  • Network Engineering
  • Algorithm Optimization

Background:

  • Increasing internet traffic necessitates efficient network resource utilization.
  • Current single-path routing algorithms often underutilize network capacity.
  • Software-Defined Networking (SDN) offers centralized control for advanced routing.

Purpose of the Study:

  • To develop and evaluate a multipath routing algorithm for optimal network resource usage.
  • To address the challenges of per-packet multipath routing with Transmission Control Protocol (TCP).
  • To improve overall network performance metrics like goodput and end-to-end delay.

Main Methods:

  • Implementation of a multipath routing algorithm utilizing Evolutionary Algorithms (EAs).
  • Integration with Software Defined Networking (SDN) for real-time network information.
  • Modification of Multipath TCP (MPTCP) to mitigate adverse effects of per-packet multipath routing.
  • Network simulations on a 41-node, 60-link real-world network model.

Main Results:

  • A 29% increase in total network goodput was observed with the EA routing solution.
  • Over 50% average reduction in end-to-end flow delay compared to standard protocols.
  • Demonstrated superior performance against Open Shortest Path First (OSPF) and standard TCP.

Conclusions:

  • The proposed EA-based multipath routing algorithm effectively enhances network performance.
  • Modified MPTCP successfully overcomes limitations associated with per-packet multipath routing.
  • This approach offers a viable solution for managing escalating internet traffic demands.