Traffic Engineering in SDN with Cultural Algorithms

The huge Internet traffic growth and the applications heterogeneity have requested great resilience from the communication networks and made the provision of Quality of Service (QoS) to the applications challenging, where the packet routing presents a fundamental role. Currently, the Shortest Path F...

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Bibliographic Details
Published in2018 IEEE Latin American Conference on Computational Intelligence (LA-CCI) pp. 1 - 5
Main Authors de Amorim Monteiro, Thyago, de Albuquerque, Edson Queiroz, Balieiro, Andson M.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2018
Subjects
Biological cells
cultural algorithm
Cultural differences
genetic algorithm
Genetic algorithms
load-balancing
Proposals
Routing
Sociology
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Summary:The huge Internet traffic growth and the applications heterogeneity have requested great resilience from the communication networks and made the provision of Quality of Service (QoS) to the applications challenging, where the packet routing presents a fundamental role. Currently, the Shortest Path First (SPF) algorithm predominates the routes computation in the networks and it composes the Open Shortest Path First (OSPF) protocol. Although several improvements have been proposed, they are not able to meet the current demands stemming from the transmission of super-connected global events and the live view culture, which have generated data traffic beyond the OSPF forwarding capability. In this regard, this work explores traffic engineering in a software-defined network (SDN) through a hybrid approach based on genetic and cultural algorithms.
DOI:10.1109/LA-CCI.2018.8625225