On the Relevance of Using Gene Expression Programming in Destination-Based Traffic Engineering

  • Antoine B. Bagula
  • Hong F. Wang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3801)

Abstract

This paper revisits the problem of Traffic Engineering (TE) to assess the relevance of using Gene Expression Programming (GEP) as a new fine-tuning algorithm in destination-based TE. We present a new TE scheme where link weights are computed using GEP and used as fine-tuning parameters in destination-based path selection. We apply the newly proposed TE scheme to compute the routing paths for the traffic offered to a 23- and 30-node test networks under different traffic conditions and differentiated services situations. We evaluate the performance achieved by the GEP algorithm compared to a memetic and the Open Shortest Path First (OSPF) algorithms in a simulated routing environment using the NS packet level simulator. Preliminary results reveal the relative efficiency of GEP compared to the memetic algorithm and OSPF routing.

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References

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    Moy, J.: OSPF Version 2, Request For Comments (March 1994), http://www.ietf.org/rfc/rfc1583.txt
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    Fortz, B., Thorup, M.: Internet Traffic Engineering by Optimizing OSPF Weights. In: Proceedings of IEEE INFOCOM (March 2000)Google Scholar
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    Ferreira, C.: Gene Expression Programming: A New Adaptive Algorithm for solving problems. Complex Systems 13(2), 87–129 (2001)MATHMathSciNetGoogle Scholar
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    Network Simulator, http://www.isi.edu/nsnam/ns/

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Antoine B. Bagula
    • 1
  • Hong F. Wang
    • 1
  1. 1.Department of Computer ScienceUniversity of StellenboschStellenboschSouth Africa

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