Time Efficient Energy-Aware Routing in Software Defined Networks

As devices and traffic in the Internet increase, power consumption becomes a critical issue for Information and Communication Technology (ICT) industry. The emerging technology, Software Defined Networking (SDN), can adaptively manage the network resources and control the power consumption. In this paper, we first investigate the time efficient energy aware routing in SDN enabled networks, and then propose a Time Efficient Energy Aware Routing (TEAR) algorithm. The goal of this work is to effectively reduce the number of used links for packet delivery so that the energy consumption can be decreased. Different from most existing schemes which only focus on static demands, the proposed TEAR algorithm considers both the temporal variation in demand and computational efficiency when finding routing paths. Specifically, the energy consumption problem for routing traffic in a network is formulated as an integer linear programming problem. Hence, the proposed TEAR algorithm can dynamically route flows in a time efficient manner. The evaluation results show that the proposed scheme outperforms other schemes in terms of computation time and energy consumption of the network.