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Ant colony optimization and its applications on optical networks

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Author(s):
Gustavo Sousa Pavani
Total Authors: 1
Document type: Doctoral Thesis
Press: Campinas, SP.
Institution: Universidade Estadual de Campinas (UNICAMP). Faculdade de Engenharia Elétrica e de Computação
Defense date:
Examining board members:
Helio Waldman; Paulo Cardieri; Mauricio Ferreira Magalhães; Fernando José Von Zuben; Amilcar Careli Cesar; Marcos Rogério Salvador
Advisor: Helio Waldman
Abstract

This work discusses the usage of Ant Colony Optimization (ACO) in optical networking. Since this technique exhibits naturally the capacity of network load-balancing and self-organization, besides it provides a distributed control of the network, we present a routing algorith:Q1 based on artificial ants, which is integrated with a GMPLS control plane. We propose the following applications for it: traffic engineering and restoration for wavelength-routed and optical packet switched networks, routing aware of physical-Iayer impairments, and integrated management of processing resources and lightpaths in grid architectures. The proposed algorithm is compared to conventional routing techniques based on topology, such as shortest-path routing. We present the advantages and limitations of the proposed algorithm when compared to those techniques considering different scenarios. The results indicate that the proposed algorithm is an excellent candidate to manage and control optical networks in lieu of the conventional methods (AU)