Energy aware traffic engineering with genetics algorithm NSGA-II

After the increasing spread and use of computer network, energy consumption of internet has found remarkable growth and is going to continue this trend. Energy-aware traffic energy and the existing methods have been of interest in this area in recent years to create a trade-off between energy reserve and network productivity.In this work, our focus is intra domain traffic engineering in IP networks with non-dominated sorting genetic algorithm acting offline. This algorithm tries to trade-off these two aims regarding the network link utilization and energy consumption. The algorithm NSGA-II has been implemented on Abilene network and evaluation results show that in implementation stage, this algorithm can improve energy utilization remarkably and have near-optimum load balance performance. The output of this algorithm in each run is a sample of the network topology some links of which are off and lets the consumed energy reserved without any risk for network utilization.

Keywords:

energy consumption , traffic engineering , energy-aware , genetic algorithm , non-dominated sorting