Boosting performance for software defined networks from traffic engineering perspective

Paths selection algorithms and rate adaptation objective functions are usually studied separately. In contrast, this paper evaluates some traffic engineering (TE) systems for software defined networking obtained by combining path techniques with average delay load balancing, the two most popular TE functions. Based on simulation results, best system suitable networks is a where paths calculated using an oblivious routing model its function. Thus, we propose RACKE+AD sets computed Räcke’s splitting function delay. This outperforms current state-of-the-art models, maximizes throughput, achieves better network resource utilization, minimizes The proposed outperformed SMORE SWAN 4.2% 9.6% respectively, achieving 27% utilization delivering 34% more 50% less latency compared both GÉANT network.