Minimizing Energy Consumption in Software Defined Networks

Abstract

Software-Defined Network (SDN) isolates the data plane networking equipment from the control plane to speed up the quick distribution, composition, and growth of networks. Controllers in the software-defined network play an important role like managing the tasks performed by the switches which come at a tradeoff of the aim of maximizing the energy saving in SDN. If more edges of SDN networks are switched off, it may lead to select the routes where propagation delays will be larger. In this regard, we refer to the task of allocating switches to the controller with the target of making the maximum number of inactive edges while satisfying the latency. In this paper, we propose a link based genetic algorithm(LBGA) and compared this with Greco. From the evaluation, it is observed that the results of various topologies have shown energy savings up to more than 55% during the hours when the edges are inactive and this is better in comparison to Greco.