Energy-aware traffic engineering in IP networks using non-dominated sorting genetic II algorithm
by Raheleh Samadi; Mohammad Nassiri; Muharram Mansoorizadeh
International Journal of Advanced Intelligence Paradigms (IJAIP), Vol. 16, No. 1, 2020

Abstract: Wide spreading of computer networks along with increasing traffic demand throughout the Internet caused a dramatic increase in energy consumption by networking devices and Internet infrastructure. Energy-aware traffic engineering is a promising approach towards green networking to achieve a trade-off between energy saving and network utilisation in backbone networks. In this paper, we propose to use non-dominated sorting genetic algorithm (NSGA-II) for energy-aware intra-domain traffic engineering. This algorithm tries to make a trade-off between maximum link utilisation (MLU) and energy reservation. For each pair of network topology and traffic matrix, NSGA-II computes the optimal set of links to put to sleep so that the resulting topology would be able to carry the traffic demand. We developed a simulator to evaluate the performance of our mechanism. The results of comprehensive evaluations show that our energy-aware TE approach increases the network performance in terms of energy conservation by 50% at the cost of slight increase in maximum link utilisation.

Online publication date: Mon, 20-Apr-2020

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