← SBrT2017
Análise de técnicas de otimização multiobjetivo para o posicionamento de controladores em redes SDN
SDNNSGA-IIPSA
Resumo
Software Defined Network is a traffic engineering
solution with an increasing interest by industry, which raises
issues such as the use of multiple controllers. Considering that
the positioning of controllers within a given topogoly constitutes a
multiobjective optimization problem in order to satisfy certain
performance metrics, this work presents a comparative analysis
between PSA and NSGA-II, based on the initial study developed
by Lange et al. [1]. The results yield good results for both
techniques, in terms of accuracy and processing time, but with an
advantage to NSGA-II algorithm, in terms of convergence and
exploration degree of the search space. Such properties are
interesting when one considers real time traffic optimization and
a resilient network operation.