Addressing self-similarity in optical switching networks by means of ant colony optimization |
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Authors: | Gustavo Sousa Pavani Helio Waldman |
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Affiliation: | (1) Optical Networking Laboratory (OptiNet), School of Computer and Electrical Engineering, State University of Campinas (Unicamp), Brazil Rua Albert Einstein, 400, CP 6101, Campinas, SP, CEP 13083-852, Brazil |
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Abstract: | In this work, we propose the use of an Ant Colony Optimization (ACO) algorithm to mitigate packet loss in an optical packet
switching network that carries self-similar traffic, which is known to have a great impact in the buffer performance in terms
of loss probability as exemplified in this work. By adaptively routing the packets and balancing the network load, we demonstrate
by some simulations the effectiveness of this approach when compared with a shortest-path routing scheme, achieving a performance
that is comparable to the Poisson traffic scenario in some cases. The proposed algorithm can be used as a viable alternative
to traffic shaping techniques. |
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Keywords: | Ant colony optimization Self-similar traffic Optical packet switching networks |
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