Optimal controller placement in large scale software defined networks based on modified NSGA-II
作者:Ahmad Jalili, Manijeh Keshtgari, Reza Akbari
摘要
Software Defined Network (SDN) is an emerging approach to overcome challenges of traditional networks. One particularly important issue in SDN architectures is that of controller placement problem (CPP), i.e., deploying a desired number of controllers within a network while some possibly conflicting requirements have to be fulfilled. A single optimal placement may not be possible and decision makers need to seek for an appropriate trade-off among the metrics. Although an exhaustive evaluation of all possible placements can be practically performed well for small and medium-sized networks, regarding realistic time and resource restrictions, heuristic approaches are required for large-scale networks. Hence, a heuristic called Multi-Start Hybrid NSGA-II (MHNSGA-II) is introduced which yields faster computation times and needs reasonable memory to perform. The obtained results on several topologies extracted from Internet Topology Zoo showed the efficiency of the proposed approach.
论文关键词:Software-defined network (SDN), Controller placement, Multi-objective combinatorial optimization (MOCO), Heuristic algorithms, Optimal pareto front (PF), Hybrid NSGA-II (HNSGA-II)
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论文官网地址:https://doi.org/10.1007/s10489-017-1119-5